Now that you have been shown the difference between these four question types:

Now that you have been shown the difference between these four question types:

You will be shown a series of problems, asked to classify them, and then shown the correct classification.

Problem #1

Problem #1A pizza café owner wants to know which type of high school athlete she should market to. Should she market to high school football, basketball, or soccer players?

Problem #1A pizza café owner wants to know which type of high school athlete she should market to. Should she market to high school football, basketball, or soccer players?

Problem #1A pizza café owner wants to know which type of high school athlete she should market to. Should she market to high school football, basketball, or soccer players?

So she measures the ounces of pizza eaten by 12 football, 12 basketball, and 12 soccer players in one sitting to determine who eats more.

How would you classify this question?

A pizza café owner wants to know which type of high school athlete she should market to. Should she market to high school football, basketball, or soccer players?

So she measures the ounces of pizza eaten by 12 football, 12 basketball, and 12 soccer players in one sitting to determine who eats more.

A pizza café owner wants to know which type of high school athlete she should market to. Should she market to high school football, basketball, or soccer players?

So she measures the ounces of pizza eaten by 12 football, 12 basketball, and 12 soccer players in one sitting to determine who eats more.

This is a question of difference: Click to see our rationale.

A pizza café owner wants to know which type of high school athlete she should market to. Should she market to high school football, basketball, or soccer players?

So she measures the ounces of pizza eaten by 12 football, 12 basketball, and 12 soccer players in one sitting to determine who eats more.

Group 1

are different, similar or

comparable to one another based on

Some OutcomeGroup 2 & Group 3

A pizza café owner wants to know which type of high school athlete she should market to. Should she market to high school football, basketball, or soccer players?

So she measures the ounces of pizza eaten by 12 football, 12 basketball, and 12 soccer players in one sitting to determine who eats more.

Football Players

are different, similar or

comparable to one another based on

Some OutcomeGroup 2 & Group 3

A pizza café owner wants to know which type of high school athlete she should market to. Should she market to high school football, basketball, or soccer players?

So she measures the ounces of pizza eaten by 12 football, 12 basketball, and 12 soccer players in one sitting to determine who eats more.

Football Players

are different, similar or

comparable to one another based on

Some Outcome

Basketball Players

& Group 3

A pizza café owner wants to know which type of high school athlete she should market to. Should she market to high school football, basketball, or soccer players?

So she measures the ounces of pizza eaten by 12 football, 12 basketball, and 12 soccer players in one sitting to determine who eats more.

Football Players

are different, similar or

comparable to one another based on

Some Outcome

Basketball Players

& Soccer Players

A pizza café owner wants to know which type of high school athlete she should market to. Should she market to high school football, basketball, or soccer players?

So she measures the ounces of pizza eaten by 12 football, 12 basketball, and 12 soccer players in one sitting to determine who eats more.

Football Players

are different, similar or

comparable to one another based on

Some Outcome

Basketball Players

& Soccer Players

A pizza café owner wants to know which type of high school athlete she should market to. Should she market to high school football, basketball, or soccer players?

So she measures the ounces of pizza eaten by 12 football, 12 basketball, and 12 soccer players in one sitting to determine who eats more.

Football Players

are different, similar or

comparable to one another based on

Eaten in one

Sitting

Basketball Players

& Soccer Players

A pizza café owner wants to know which type of high school athlete she should market to. Should she market to high school football, basketball, or soccer players?

So she measures the ounces of pizza eaten by 12 football, 12 basketball, and 12 soccer players in one sitting to determine who eats more.

Football Players

are different, similar or

comparable to one another based on

Eaten in one

Sitting

Basketball Players

& Soccer Players

Therefore, this is a question of difference

Problem #2

Problem #2A company prints baseball cards. They claim that for every pack of 110 cards, 40 are rookies; 60, veterans; and 10, All-Stars.

Problem #2A company prints baseball cards. They claim that for every pack of 110 cards, 40 are rookies; 60, veterans; and 10, All-Stars.

To test their claim, you gather a random sample of 100 baseball cards. The number of rookies you collect is 30, of veterans is 65, and All-stars is 15. Does this sample support the claim?

How would you classify this question?

A company prints baseball cards. They claim that for every pack of 110 cards, 40 are rookies; 60, veterans; and 10, All-Stars.

To test their claim, you gather a random sample of 100 baseball cards. The number of rookies you collect is 30, of veterans is 65, and All-stars is 15. Does this sample support the claim?

A company prints baseball cards. They claim that for every pack of 110 cards, 40 are rookies; 60, veterans; and 10, All-Stars.

To test their claim, you gather a random sample of 100 baseball cards. The number of rookies you collect is 30, of veterans is 65, and All-stars is 15. Does this sample support the claim?

We are testing the claim of a hypothesized count (40, 60, 10) with an observed count (40, 55, 5). Therefore this is

a Goodness of Fit question.

A company prints baseball cards. They claim that for every pack of 110 cards, 40 are rookies; 60, veterans; and 10, All-Stars.

To test their claim, you gather a random sample of 110 baseball cards. The number of rookies you collect is 30, of veterans is 65, and All-stars is 15. Does this sample support the claim?

We are testing the claim of a hypothesized count (40, 60, 10) with an observed count (40, 55, 5). Therefore this is

a Goodness of Fit question.

A company prints baseball cards. They claim that for every pack of 110 cards, 40 are rookies; 60, veterans; and 10, All-Stars.

To test their claim, you gather a random sample of 100 baseball cards. The number of rookies you collect is 30, of veterans is 65, and All-stars is 15. Does this sample support the claim?

We are testing the claim of a hypothesized count (40, 60, 10) with an observed count (30, 65, 15). Therefore this is

a Goodness of Fit question.

A company prints baseball cards. They claim that for every pack of 110 cards, 40 are rookies; 60, veterans; and 10, All-Stars.

To test their claim, you randomly select a sample of 100 baseball cards. The number of rookies you collect is 30, of veterans is 65, and All-stars is 15. Does this sample support the claim?

We are testing the claim of a hypothesized count (40, 60, 10) with an observed count (30, 65, 15). Therefore this is

a Goodness of Fit question.

A company prints baseball cards. They claim that for every pack of 110 cards, 40 are rookies; 60, veterans; and 10, All-Stars.

To test their claim, you gather a random sample of 100 baseball cards. The count of rookies you collect is 30, of veterans is 65, and All-stars is 15. Does this sample support the claim?We are testing the claim of a hypothesized count (30, 60, 10) with an observed count (30, 65, 15). Therefore this

is a Goodness of Fit question.

Problem #3

Problem #3College professors assume that the more years they teach and the more papers they publish, the more money they will earn.

Problem #3College professors assume that the more years they teach and the more papers they publish, the more money they will earn. Test this hypothesis by examining the relationship between years taught, papers published, and median income.

Problem #3College professors assume that the more years they teach and the more papers they publish, the more money they will earn. Test this hypothesis by examining the relationship between years taught, papers published, and median income.

How would you classify this question?

College professors assume that the more years they teach and the more papers they publish, the more money they will earn. Test this hypothesis by examining the relationship between years taught, papers published, and median income.

College professors assume that the more years they teach and the more papers they publish, the more money they will earn. Test this hypothesis by examining the relationship between years taught, papers published, and median income.

This is a question of relationship: Click to see our rationale

College professors assume that the more years they teach and the more papers they publish, the more money they will earn. Test this hypothesis by examining the relationship between years taught, papers published, and median income.

Variable 1An Increase or decrease in Predicts Variable 3

Variable 2

College professors assume that the more years they teach and the more papers they publish, the more money they will earn. Test this hypothesis by examining the relationship between years taught, papers published, and median income.

Variable 1An Increase or decrease in Predicts Variable 3

Variable 2

College professors assume that the more years they teach and the more papers they publish, the more money they will earn. Test this hypothesis by examining the relationship between years taught, papers published, and median income.

Years TaughtAn Increase or decrease in Predicts Variable 3

Variable 2

College professors assume that the more years they teach and the more papers they publish, the more money they will earn. Test this hypothesis by examining the relationship between years taught, papers published, and median income.

Years TaughtAn Increase or decrease in Predicts Variable 3Papers

Published

College professors assume that the more years they teach and the more papers they publish, the more money they will earn. Test this hypothesis by examining the relationship between years taught, papers published, and median income.

Years TaughtAn Increase or decrease in Predicts Variable 3Papers

Published

College professors assume that the more years they teach and the more papers they publish, the more money they will earn. Test this hypothesis by examining the relationship between years taught, papers published, and median income.

Years TaughtAn Increase or decrease in Predicts Variable 3Papers

Published

When something predicts something else, that prediction is based on a

relationship between the two

College professors assume that the more years they teach and the more papers they publish, the more money they will earn. Test this hypothesis by examining the relationship between years taught, papers published, and median income.

Years TaughtAn Increase or decrease in Predicts

Money EarnedPapers

Published

College professors assume that the more years they teach and the more papers they publish, the more money they will earn. Test this hypothesis by examining the relationship between years taught, papers published, and median income.

Years TaughtAn Increase or decrease in Predicts

Money EarnedPapers

Published

Therefore this is a question of relationship

Problem #4

Problem #4Claims have been made that a conservative arm of the government will only fund studies that support their conservative agenda.

The government has commissioned researchers to determine if such a bias exists in the funding of studies. Their hope is that no such connection exists. First, they rate each study on a scale of conservativeness (1 = very liberal to 10 = very conservative). They then classify each study as funded or not (1 = funded; 2 = not funded)

Problem #4Claims have been made that a conservative arm of the government will only fund studies that support their conservative agenda.

The government has commissioned researchers to determine if such a bias exists in the funding of studies. Their hope is that no such connection exists. First, they rate each study on a scale of conservativeness (1 = very liberal to 10 = very conservative). They then classify each study as funded or not (1 = funded; 2 = not funded)

Problem #4Claims have been made that a conservative arm of the government will only fund studies that support their conservative agenda.

The government has commissioned researchers to determine if such a bias exists in the funding of studies. Their hope is that no such connection exists. First, they rate each study on a scale of conservativeness (1 = very liberal to 10 = very conservative). They then classify each study as funded or not (1 = funded; 2 = not funded)

Problem #4Claims have been made that a conservative arm of the government will only fund studies that support their conservative agenda.

The government has commissioned researchers to determine if such a bias exists in the funding of studies. Their hope is that no such connection exists. First, they rate each study on a scale of conservativeness (1 = very liberal to 10 = very conservative). They then classify each study as funded or not (1 = funded; 2 = not funded)

Problem #4Claims have been made that a conservative arm of the government will only fund studies that support their conservative agenda.

The government has commissioned researchers to determine if such a bias exists in the funding of studies. Their hope is that no such connection exists. First, they rate each study on a scale of conservativeness (1 = very liberal to 10 = very conservative). They then classify each study as funded or not (1 = funded; 2 = not funded)

Problem #4Claims have been made that a conservative arm of the government will only fund studies that support their conservative agenda.

The government has commissioned researchers to determine if such a bias exists in the funding of studies. Their hope is that no such connection exists. First, they rate each study on a scale of conservativeness (1 = very liberal to 10 = very conservative). They then classify each study as funded or not (1 = funded; 2 = not funded)

How would you classify this problem?

Claims have been made that a conservative arm of the government will only fund studies that support their conservative agenda.

The government has commissioned researchers to determine if such a bias exists in the funding of studies. Their hope is that no such connection exists. First, they rate each study on a scale of conservativeness (1 = very liberal to 10 = very conservative). They then classify each study as funded or not (1 = funded; 2 = not funded)

Claims have been made that a conservative arm of the government will only fund studies that support their conservative agenda.

The government has commissioned researchers to determine if such a bias exists in the funding of studies. Their hope is that no such connection exists. First, they rate each study on a scale of conservativeness (1 = very liberal to 10 = very conservative). They then classify each study as funded or not (1 = funded; 2 = not funded)

This is a question of independence: Click to see our rationale

Claims have been made that a conservative arm of the government will only fund studies that support their conservative agenda.

The government has commissioned researchers to determine if such a bias exists in the funding of studies. Their hope is that no such connection exists. First, they rate each study on a scale of conservativeness (1 = very liberal to 10 = very conservative). They then classify each study as funded or not (1 = funded; 2 = not funded)

Variable 1Higher and

lower scores in

tend to be UNRELATED to

certain groups in Variable 2

Claims have been made that a conservative arm of the government will only fund studies that support their conservative agenda.

The government has commissioned researchers to determine if such a bias exists in the funding of studies. Their hope is that no such connection exists. First, they rate each study on a scale of conservativeness (1 = very liberal to 10 = very conservative). They then classify each study as funded or not (1 = funded; 2 = not funded)

Conservat-iveness

Higher and lower scores

in

tend to be UNRELATED to

certain groups in Variable 2

Claims have been made that a conservative arm of the government will only fund studies that support their conservative agenda.

The government has commissioned researchers to determine if such a bias exists in the funding of studies. Their hope is that no such connection exists. First, they rate each study on a scale of conservativeness (1 = very liberal to 10 = very conservative). They then classify each study as funded or not (1 = funded; 2 = not funded)

Conservat-iveness

Higher and lower scores

in

tend to be UNRELATED to

certain groups in Variable 2

Claims have been made that a conservative arm of the government will only fund studies that support their conservative agenda.

The government has commissioned researchers to determine if such a bias exists in the funding of studies. Their hope is that no such connection exists. First, they rate each study on a scale of conservativeness (1 = very liberal to 10 = very conservative). They then classify each study as funded or not (1 = funded; 2 = not funded)

Conservat-iveness

Higher and lower scores

in

tend to be UNRELATED to certain groups

based on

Funding Status

Claims have been made that a conservative arm of the government will only fund studies that support their conservative agenda.

The government has commissioned researchers to determine if such a bias exists in the funding of studies. Their hope is that no such connection exists. First, they rate each study on a scale of conservativeness (1 = very liberal to 10 = very conservative). They then classify each study as funded or not (1 = funded; 2 = not funded)

Conservat-iveness

Higher and lower scores

in

tend to be UNRELATED to certain groups

based on

Funding Status

Therefore this is a question of independence

Problem #5

Problem #5Scientist have hypothesized that baby birth weight may be greater if during pregnancy women drink at least 100 fluid ounces of water a day.

Problem #5Scientist have hypothesized that baby birth weight may be greater if during pregnancy women drink at least 100 fluid ounces of water a day.

Problem #5Scientist have hypothesized that baby birth weight may be greater if during pregnancy women drink at least 100 fluid ounces of water a day.

To test this hypothesis 30 pregnant women drink 100 fluid ounces of water a day and another 30 maintain their normal water intake. Baby birth weight is compared to determine if there is a difference between the two groups.

Scientist have hypothesized that baby birth weight may be greater if during pregnancy women drink at least 100 fluid ounces of water a day.

To test this hypothesis 30 pregnant women drink 100 fluid ounces of water a day and another 30 maintain their normal water intake. Baby birth weight is compared to determine if there is a difference between the two groups.

How would you classify this question?

Scientist have hypothesized that baby birth weight may be greater if during pregnancy women drink at least 100 fluid ounces of water a day.

To test this hypothesis 30 pregnant women drink 100 fluid ounces of water a day and another 30 maintain their normal water intake. Baby birth weight is compared to determine if there is a difference between the two groups.

This is a question of difference: Click to see our rationale

Scientist have hypothesized that baby birth weight may be greater if during pregnancy women drink at least 100 fluid ounces of water a day.

To test this hypothesis 30 pregnant women drink 100 fluid ounces of water a day and another 30 maintain their normal water intake. Baby birth weight is compared to determine if there is a difference between the two groups.

Scientist have hypothesized that baby birth weight may be greater if during pregnancy women drink at least 100 fluid ounces of water a day.

To test this hypothesis 30 pregnant women drink 100 fluid ounces of water a day and another 30 maintain their normal water intake. Baby birth weight is compared to determine if there is a difference between the two groups.

based on Some Outcome

Group 2Group 1 is different than

Scientist have hypothesized that baby birth weight may be greater if during pregnancy women drink at least 100 fluid ounces of water a day.

To test this hypothesis 30 pregnant women drink 100 fluid ounces of water a day and another 30 maintain their normal water intake. Baby birth weight is compared to determine if there is a difference between the two groups.

based on Some Outcome

Group 2100 oz Group

is different than

Scientist have hypothesized that baby birth weight may be greater if during pregnancy women drink at least 100 fluid ounces of water a day.

To test this hypothesis 30 pregnant women drink 100 fluid ounces of water a day and another 30 maintain their normal water intake. Baby birth weight is compared to determine if there is a difference between the two groups.

based on Some Outcome

Group 2100 oz Group

is different than

Scientist have hypothesized that baby birth weight may be greater if during pregnancy women drink at least 100 fluid ounces of water a day.

To test this hypothesis 30 pregnant women drink 100 fluid ounces of water a day and another 30 maintain their normal water intake. Baby birth weight is compared to determine if there is a difference between the two groups.

based on Some Outcome

Normal Group

100 oz Group

is different than

Scientist have hypothesized that baby birth weight may be greater if during pregnancy women drink at least 100 fluid ounces of water a day.

To test this hypothesis 30 pregnant women drink 100 fluid ounces of water a day and another 30 maintain their normal water intake. Baby birth weight is compared to determine if there is a difference between the two groups.

based on Birth Weight

Normal Group

100 oz Group

is different than

Scientist have hypothesized that baby birth weight may be greater if during pregnancy women drink at least 100 fluid ounces of water a day.

To test this hypothesis 30 pregnant women drink 100 fluid ounces of water a day and another 30 maintain their normal water intake. Baby birth weight is compared to determine if there is a difference between the two groups.

based on Birth Weight

Normal Group

100 oz Group

is different than

Therefore this is a question of difference

Problem #6

Problem #6An ice cream parlor wants to determine the amount of inventory they will need as summer begins.

Problem #6An ice cream parlor wants to determine the amount of inventory they will need as summer begins.

Problem #6An ice cream parlor wants to determine the amount of inventory they will need as summer begins. They record the average sale of ice cream along with the average daily temperature to see if an increase in one is accompanied by an increase in the other.

Problem #6An ice cream parlor wants to determine the amount of inventory they will need as summer begins. They record the average sale of ice cream along with the average daily temperature to see if an increase in one is accompanied by an increase in the other.

How would you classify this problem?

An ice cream parlor wants to determine the amount of inventory they will need as summer begins. They record the average sale of ice cream along with the average daily temperature to see if an increase in one is accompanied by an increase in the other.

An ice cream parlor wants to determine the amount of inventory they will need as summer begins. They record the average sale of ice cream along with the average daily temperature to see if an increase in one is accompanied by an increase in the other.

This is a question of relationship: Click to see our rationale

An ice cream parlor wants to determine the amount of inventory they will need as summer begins. They record the average sale of ice cream along with the average daily temperature to see if an increase in one is accompanied by an increase in the other.

Variable 1An Increase or decrease in

is accompanied by an increase or decrease in

Variable 2

An ice cream parlor wants to determine the amount of inventory they will need as summer begins. They record the average sale of ice cream along with the average daily temperature to see if an increase in one is accompanied by an increase in the other.

Variable 1An Increase or decrease in

is accompanied by an increase or decrease in

Variable 2

An ice cream parlor wants to determine the amount of inventory they will need as summer begins. They record the average sale of ice cream along with the average daily temperature to see if an increase in one is accompanied by an increase in the other.

Average Ice Cream

Sales

An Increase or decrease in

is accompanied by an increase or decrease in

Variable 2

An ice cream parlor wants to determine the amount of inventory they will need as summer begins. They record the average sale of ice cream along with the average daily temperature to see if an increase in one is accompanied by an increase in the other.

Average Ice Cream

Sales

An Increase or decrease in

is accompanied by an increase or decrease in

Variable 2

An ice cream parlor wants to determine the amount of inventory they will need as summer begins. They record the average sale of ice cream along with the average daily temperature to see if an increase in one is accompanied by an increase in the other.

Average Ice Cream

Sales

An Increase or decrease in

is accompanied by an increase or decrease in

Average Daily

Temperature

An ice cream parlor wants to determine the amount of inventory they will need as summer begins. They record the average sale of ice cream along with the average daily temperature to see if an increase in one is accompanied by an increase in the other.

Average Ice Cream

Sales

An Increase or decrease in

is accompanied by an increase or decrease in

Average Daily

Temperature

Therefore this is a question of relationship

Problem #7

Problem #7Different types of farm machinery have different effects on the compaction of soil and thus may affect yields differently. You have been asked to determine which farm machinery type (1, 2, or 3) has the biggest impact on soil compaction.

Problem #7Different types of farm machinery have different effects on the compaction of soil and thus may affect yields differently. You have been asked to determine which farm machinery type (1, 2, or 3) has the biggest impact on soil compaction.

Type 1

Type 2

Type 3

How would you classify this problem?

Different types of farm machinery have different effects on the compaction of soil and thus may affect yields differently. You have been asked to determine which farm machinery type (1, 2, or 3) has the biggest impact on soil compaction.

Different types of farm machinery have different effects on the compaction of soil and thus may affect yields differently. You have been asked to determine which farm machinery type (1, 2, or 3) has the biggest impact on soil compaction.

This is a question of difference: Click to see our rationale

Different types of farm machinery have different effects on the compaction of soil and thus may affect yields differently. You have been asked to determine which farm machinery type (1, 2, or 3) has the biggest impact on soil compaction.

are different from one another based on

Some OutcomeGroup 2Group 1 Group 3&

Different types of farm machinery have different effects on the compaction of soil and thus may affect yields differently. You have been asked to determine which farm machinery type (1, 2, or 3) has the biggest impact on soil compaction.

are different from one another based on

Some OutcomeGroup 2Type 1

Machines Group 3&

Different types of farm machinery have different effects on the compaction of soil and thus may affect yields differently. You have been asked to determine which farm machinery type (1, 2, or 3) has the biggest impact on soil compaction.

are different from one another based on

Some Outcome

Type 2 Machines

Type 1 Machines Group 3&

Different types of farm machinery have different effects on the compaction of soil and thus may affect yields differently. You have been asked to determine which farm machinery type (1, 2, or 3) has the biggest impact on soil compaction.

are different from one another based on

Some Outcome

Type 2 Machines

Type 1 Machines

Type 3 Machines

&

Different types of farm machinery have different effects on the compaction of soil and thus may affect yields differently. You have been asked to determine which farm machinery type (1, 2, or 3) has the biggest impact on soil compaction.

are different from one another based on

Soil Compaction

Type 2 Machines

Type 1 Machines

Type 3 Machines

&

Different types of farm machinery have different effects on the compaction of soil and thus may affect yields differently. You have been asked to determine which farm machinery type (1, 2, or 3) has the biggest impact on soil compaction.

are different from one another based on

Soil Compaction

Type 2 Machines

Type 1 Machines

Type 3 Machines

&

Therefore this is a question of difference

Problem #8

Problem #8Educational researchers want to know if the language in which a mathematical word problem is stated has an effect on the performance of bilingual students. They test a group of bilingual students and a group of monolingual students and compare the results.

Problem #8Educational researchers want to know if the language in which a mathematical word problem is stated has an effect on the performance of bilingual students. They test a group of bilingual students and a group of monolingual students and compare the results.

Problem #8Educational researchers want to know if the language in which a mathematical word problem is stated has an effect on the performance of bilingual students. They test a group of bilingual students and a group of monolingual students and compare the results.They decide to see if the difference holds, when controlling for gender.

Educational researchers want to know if the language in which a mathematical word problem is stated has an effect on the performance of bilingual students. They test a group of 25 bilingual students and a group of 28 monolingual students and compare the results.They decide, as an after thought, to see if the difference holds, when controlling for gender.

How would you classify this question?

Educational researchers want to know if the language in which a mathematical word problem is stated has an effect on the performance of bilingual students. They test a group of 25 bilingual students and a group of 28 monolingual students and compare the results.They decide, as an after thought, to see if the difference holds, when controlling for gender.

This is a question of difference: Click to see our rationale.

Educational researchers want to know if the language in which a mathematical word problem is stated has an effect on the performance of bilingual students. They test a group of 25 bilingual students and a group of 28 monolingual students and compare the results.They decide, as an after thought, to see if the difference holds, when controlling for gender.

based on Some Outcome

Group 2Group 1 is different than

Educational researchers want to know if the language in which a mathematical word problem is stated has an effect on the performance of bilingual students. They test a group of 25 bilingual students and a group of 28 monolingual students and compare the results.They decide, as an after thought, to see if the difference holds, when controlling for gender.

based on Some Outcome

Group 2Bilingual Students

is different than

Educational researchers want to know if the language in which a mathematical word problem is stated has an effect on the performance of bilingual students. They test a group of 25 bilingual students and a group of 28 monolingual students and compare the results.They decide, as an after thought, to see if the difference holds, when controlling for gender.

based on Some Outcome

Group 2Bilingual Students

is different than

Educational researchers want to know if the language in which a mathematical word problem is stated has an effect on the performance of bilingual students. They test a group of 25 bilingual students and a group of 28 monolingual students and compare the results.They decide, as an after thought, to see if the difference holds, when controlling for gender.

based on Some Outcome

Monolingual Students

Bilingual Students

is different than

Educational researchers want to know if the language in which a mathematical word problem is stated has an effect on the performance of bilingual students. They test a group of 25 bilingual students and a group of 28 monolingual students and compare the results.They decide, as an after thought, to see if the difference holds, when controlling for gender.

based on

Math Word Problem

Performance

Monolingual Students

Bilingual Students

is different than

Educational researchers want to know if the language in which a mathematical word problem is stated has an effect on the performance of bilingual students. They test a group of 25 bilingual students and a group of 28 monolingual students and compare the results.They decide, as an after thought, to see if the difference holds, when controlling for gender.

based on

Math Word Problem

Performance

Monolingual Students

Bilingual Students

is different than

Even though there are other things going on like “controlling for gender”, at it’s core this is

a question of difference.

Good luck, classifying your problem

Good luck, classifying your problem