warm-up 7.2 generating sampling distributions free response question simple random samples of young...

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Warm-up 7.2 Generating Sampling Distributions Free Response Question Simple random samples of young and older adults in a large city were surveyed as to credit card debt, and the data are summarized: n Mean Median Min Max Q1 Q3 SD Young: 100 1500 1500 1300 1700 1400 1600 120 Older: 100 1520 1500 1000 2100 1400 1655 200 (a) Is there evidence that either of these samples were drawn from populations with normal distributions? Explain. (b)Assume that both samples are drawn from normally distributed populations. Would a greater percentage of younger or older adults more likely be able to pay off their credit debt with

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Page 1: Warm-up 7.2 Generating Sampling Distributions Free Response Question Simple random samples of young and older adults in a large city were surveyed as to

Warm-up7.2 Generating Sampling Distributions

Free Response Question

Simple random samples of young and older adults in a large city were surveyed as to credit card debt, and the data are summarized:

n Mean Median Min Max Q1 Q3 SD

Young: 100 1500 1500 1300 1700 1400 1600 120

Older: 100 1520 1500 1000 2100 1400 1655 200

(a) Is there evidence that either of these samples were drawn from populations with normal distributions? Explain.

(b)Assume that both samples are drawn from normally distributed populations. Would a greater percentage of younger or older adults more likely be able to pay off their credit debt with $1,550? Explain.

Page 2: Warm-up 7.2 Generating Sampling Distributions Free Response Question Simple random samples of young and older adults in a large city were surveyed as to
Page 3: Warm-up 7.2 Generating Sampling Distributions Free Response Question Simple random samples of young and older adults in a large city were surveyed as to
Page 4: Warm-up 7.2 Generating Sampling Distributions Free Response Question Simple random samples of young and older adults in a large city were surveyed as to

E #1 - 4

E1. a.

b. The larger the sample size, the more trials listed under frequency for the true mean of the data.

c. The larger the sample size the smaller the spread of the sampling distribution

E 3. a. b. c. The midrange for the entire page is 1 + 18 = 19/2 =9.5 As shown in the table the true range is 7.5. The midrangeof the samples will be higher than the average rectangle area.

Page 5: Warm-up 7.2 Generating Sampling Distributions Free Response Question Simple random samples of young and older adults in a large city were surveyed as to

Answers to H.W. E #1 - 4

Page 6: Warm-up 7.2 Generating Sampling Distributions Free Response Question Simple random samples of young and older adults in a large city were surveyed as to
Page 7: Warm-up 7.2 Generating Sampling Distributions Free Response Question Simple random samples of young and older adults in a large city were surveyed as to

7.2 Generating Sampling Distributions

Sampling Distribution of a MeanIf you toss two fair dice 10,000, how would you expect thehistogram to look like if you were graphing the results of theaverage of two die?

Page 8: Warm-up 7.2 Generating Sampling Distributions Free Response Question Simple random samples of young and older adults in a large city were surveyed as to

Central Limit Theorem

The sampling distribution of any mean becomes more nearly Normal as the sample size grows. Most importantly the observations need to be independent and collected with randomization.

FYI “central” in the theorem name means “fundamental”

Page 9: Warm-up 7.2 Generating Sampling Distributions Free Response Question Simple random samples of young and older adults in a large city were surveyed as to

CLT and Equations• The CLT requires essentially the same assumptions andconditions from modeling proportions: Independence,Sample size, Randomization, 10% and large enough sample

The standard deviation of the sampling distribution issometimes called the standard error of the mean.

sizesample/pop.ofdev.standardnx

Page 10: Warm-up 7.2 Generating Sampling Distributions Free Response Question Simple random samples of young and older adults in a large city were surveyed as to

Properties of Sampling Distribution of Sample Meanpg 430

If a random sample of size n is selected from a populationwith mean and standard deviation , then• The mean of the sampling distribution of x equation

equals the mean of the population, : • The standard deviation , the sampling distribution of , sometimes called the standard error of the mean:

• Using the formula above you can find standard error of the sample mean without simulation

x

x

x

sizesample/pop.ofdev.standardnx

Page 11: Warm-up 7.2 Generating Sampling Distributions Free Response Question Simple random samples of young and older adults in a large city were surveyed as to

Pg 429

Page 12: Warm-up 7.2 Generating Sampling Distributions Free Response Question Simple random samples of young and older adults in a large city were surveyed as to

Number of Children Problem

Page 13: Warm-up 7.2 Generating Sampling Distributions Free Response Question Simple random samples of young and older adults in a large city were surveyed as to

Physical Education Department and BMI studyA college physical education department asked a random sample of 200female students to self-report their heights and weights, but thepercentage of students with body mass indexes over 25 seemedsuspiciously low. One possible explanation may be that the respondents“shaded“ their weights down a bit. The CDC reports that the meanweight of 18-year-old women is 143.74 lb, with a standard deviation of51.54 lb, but these 200 randomly selected women reported a meanweight of only 140 lb.

Question: Based on the Central Limit Theorem and the 68-95-99.7 Rule,does the mean weight in this sample seem exceptionally low or mightthis just be random sample-to-sample variation?

Page 14: Warm-up 7.2 Generating Sampling Distributions Free Response Question Simple random samples of young and older adults in a large city were surveyed as to

7.1 to 7.2 Review Example 1: The Centers for Disease Control and Prevention reportsthat the average weight of a man is 190 lb with a standard deviationof 59 lb. An elevator in our building has a weight limit of 10 personsor 2500 lb. What’s the probability that if 10 men get on the elevator,they will overload its weight limit? Sampling Distribution Method Combining Data Method

Page 15: Warm-up 7.2 Generating Sampling Distributions Free Response Question Simple random samples of young and older adults in a large city were surveyed as to

Example 2: Harold fails to study for his statistics final.The final has 100 multiple choice questions, each with5 choices. Harold has no choice but to guess randomlyat all 100 questions. What is the probability thatHarold will get at least 30% on the test?Sampling Distribution Method Binomial Distribution Method

H.W. 7.2 P #10 E#15, #23, and 24

Page 16: Warm-up 7.2 Generating Sampling Distributions Free Response Question Simple random samples of young and older adults in a large city were surveyed as to

Common Test Mistakes2. Suppose you buy a raffle ticket in each of 25 consecutiveweeks in support of your favorite charity. One of the 1200raffle tickets sold each week pays $2000. What do you expectto win for those 25 weeks, and with what standard deviation?A.win about $0, give or take about $58B. win about $25, give or take about $58C. win about $42, give or take about $58D.win about $42, give or take about $289E. win about $210, give or take about $1443

Page 17: Warm-up 7.2 Generating Sampling Distributions Free Response Question Simple random samples of young and older adults in a large city were surveyed as to

3. Suppose Alex rolls a fair die until either a one or threeappears on top. What is the probability that it will take Alexmore than three rolls to get either a one or three the firsttime?A. B. C.

D. E.

FORM B 10. d. was not capable of being solved using Ch. 6concepts.

2 46 1 2

2 3 3

31

13

32

13

2 32 2 2

3 3 3

21 2 1 2 1

13 3 3 3 3

Page 18: Warm-up 7.2 Generating Sampling Distributions Free Response Question Simple random samples of young and older adults in a large city were surveyed as to

Common Mistakes on Test

Form A

Form B

1. This table gives the percentage of women who ultimately have a given number of children. For example, 19% of women ultimately have 3 children. What is the probability that two randomly selected women will have a combined total of exactly 2 children?

0 and 2, 1 and 1, 2 and 00.18* 0.35 + 0.17*0.17+ 0.35* 0.18 = 0.159

2. For the sake of efficiency, a shoe company decides to produce the left shoe of each pair at one site and the right shoe at a different site. If the two sites produce shoes with a number of defects reflected by ,18.0,005.0and15.0,002.0 2211

what is the mean and standard deviation for the number of defects for pairs of shoes produced by this company.

234.0549.018.015.0

007.0005.0002.022222

YXYX

YXYX

Page 19: Warm-up 7.2 Generating Sampling Distributions Free Response Question Simple random samples of young and older adults in a large city were surveyed as to

Expected Number of Success and Expected Number of Trials

Binomial Distribution: Flipping a coin 6 times, about howmany times flip head on average.

In a simple random sample of 15 students, how many are expected to be younger than 20 . 60% of students are under 20.

Geometric Distribution: Flipping a coin, when do you expect(on average) to have your first success.

What is the expected number of interview before the second person

without health insurance is found? (16% no health insurance)

3)5.0(6 pnx

px

1

Page 20: Warm-up 7.2 Generating Sampling Distributions Free Response Question Simple random samples of young and older adults in a large city were surveyed as to

Expected Number of Success and Expected Number of Trials

Binomial Distribution: Flipping a coin 6 times, about howmany times flip head on average.

What is the average number of students without laptops you would expect to find after sampling 5 random students? (60% w/ laptops)

Geometric Distribution: Flipping a coin, when do you expect(on average) to have your first success.

On average how many otters would biologists have to check before finding an infected otter? (20% are infected)

3)5.0(6 pnx

px

1