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ATI TEAS MATH UNDERSTANDING DATA INTERPRETATION ATI TEAS MATH DATA INTERPRETATION UNDERSTANDING data interpretation Data interpretation questions ask the applicant to interpret data given in different types of graphs. Additional questions may ask you to distinguish between dependent and independent variables in a description of an event. dependent and independent variables are covered in greater detail within the science portion of ati teas.

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Page 1: ATI TEAS MATH DATA INTERPRETATION€¦ · CHART SHOWS THE HIGHEST NUMBER OF YOUTUBE VIEWS? A. JANUARY B. FEBRUARY C. MARCH D. APRIL ATI TEAS MATH DATA INTERPRETATION UNDERSTANDING

2/21/19

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ATI TEAS MATH UNDERSTANDING DATA

INTERPRETATION

ATI TEAS MATH DATA INTERPRETATION

UNDERSTANDING data interpretationData interpretation questions ask the applicant to interpret data given in different types of graphs. Additional questions may ask you to distinguish between dependent and independent variables in a description of an event.

dependent and independent variables are covered in greater detail within the science portion of ati teas.

Page 2: ATI TEAS MATH DATA INTERPRETATION€¦ · CHART SHOWS THE HIGHEST NUMBER OF YOUTUBE VIEWS? A. JANUARY B. FEBRUARY C. MARCH D. APRIL ATI TEAS MATH DATA INTERPRETATION UNDERSTANDING

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ATI TEAS MATH DATA INTERPRETATIONUNDERSTANDING data interpretation

58%23%

10%9%

Sales

1st Qtr2nd Qtr3rd Qtr4th Qtr

THE GRAPH ABOVE SHOWS THE DISTRIBUTION OF SALES OVER FOUR QUARTERS.

WHAT PERCENTAGE OF SALES WERE SOLD IN THE FIRST QUARTER?

A. 58%

B. 23%

C. 10%

D. 9%

ATI TEAS MATH DATA INTERPRETATIONUNDERSTANDING data interpretation

58%23%

10%9%

Sales

1st Qtr2nd Qtr3rd Qtr4th Qtr

THE GRAPH ABOVE SHOWS THE DISTRIBUTION OF SALES OVER FOUR QUARTERS.

WHAT PERCENTAGE OF SALES WERE SOLD IN THE FIRST QUARTER?

A. 58%

B. 23%

C. 10%

D. 9%

Page 3: ATI TEAS MATH DATA INTERPRETATION€¦ · CHART SHOWS THE HIGHEST NUMBER OF YOUTUBE VIEWS? A. JANUARY B. FEBRUARY C. MARCH D. APRIL ATI TEAS MATH DATA INTERPRETATION UNDERSTANDING

2/21/19

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ATI TEAS MATH DATA INTERPRETATIONUNDERSTANDING data interpretation

The pie chart before shows visually how a whole is divided into parts. Another data interpretation graph is a line chart, which shows change over time.

0

0.5

1

1.5

2

2.5

3

3.5

4

4.5

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January February March April

Views on YouTube

WHICH MONTH ON THE FOLLOWING LINE CHART SHOWS THE HIGHEST NUMBER OF YOUTUBE VIEWS?

A. JANUARY

B. FEBRUARY

C. MARCH

D. APRIL

ATI TEAS MATH DATA INTERPRETATIONUNDERSTANDING data interpretation

The pie chart before shows visually how a whole is divided into parts. Another data interpretation graph is a line chart, which shows change over time.

0

0.5

1

1.5

2

2.5

3

3.5

4

4.5

5

January February March April

Views on YouTube

WHICH MONTH ON THE FOLLOWING LINE CHART SHOWS THE HIGHEST NUMBER OF YOUTUBE VIEWS?

A. JANUARY

B. FEBRUARY

C. MARCH

D. APRIL

Page 4: ATI TEAS MATH DATA INTERPRETATION€¦ · CHART SHOWS THE HIGHEST NUMBER OF YOUTUBE VIEWS? A. JANUARY B. FEBRUARY C. MARCH D. APRIL ATI TEAS MATH DATA INTERPRETATION UNDERSTANDING

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ATI TEAS MATH DATA INTERPRETATIONUNDERSTANDING data interpretation

Like the line chart, the bar chart also shows changes over time. However, this type of chart uses bars, rather than lines, to indicate a value

0

0.5

1

1.5

2

2.5

3

3.5

4

4.5

5

January February March April

Views on YouTube

ATI TEAS MATH DATA INTERPRETATION

UNDERSTANDING dependent and independent variables

Dependent and independent variables are defined by the relationship between two factors.

• Dependent variable is the factor being acted upon• Independent variable is the factor that influences

the outcomeIn cause-and-effect terms, we can say that the dependent variable is the effect and the independent variable is the cause. For example: Certain plant fertilizers help plants grow more

• Independent variable: Type of fertilizer given to the plant

• Dependent Variable: Plant height

Page 5: ATI TEAS MATH DATA INTERPRETATION€¦ · CHART SHOWS THE HIGHEST NUMBER OF YOUTUBE VIEWS? A. JANUARY B. FEBRUARY C. MARCH D. APRIL ATI TEAS MATH DATA INTERPRETATION UNDERSTANDING

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ATI TEAS MATH DATA INTERPRETATION

UNDERSTANDING covariancesCovariance is defined as the measurement of a joint variability of two random variables.

For example: if the value of x increases when the value of y increases, then the value of x decreases when the value of y decreases. This would make xand y have positive covariances.

For example: if the value of x increases when the value of y decreases, then the value of x decreases when the value of y increases. This would make x and y have negative covariances.

ATI TEAS MATH DATA INTERPRETATION

UNDERSTANDING measurements of central tendency

Measurements of central tendency measure the mean, median, and mode of values.• The mean of a data set is the average of the values.

• Add up all the values and divide that sum by the total number of values

• The median is the middle number in an ordered set of values. • Place all the values in an increasing order. If there are an odd

number of values, the median value is the middle number. If there are an even number of values, the median value is the average of the two middle values.

• The mode is the value that occurs the most in a data set. Important note: some data sets do not have a mode and some may have more than one.

Page 6: ATI TEAS MATH DATA INTERPRETATION€¦ · CHART SHOWS THE HIGHEST NUMBER OF YOUTUBE VIEWS? A. JANUARY B. FEBRUARY C. MARCH D. APRIL ATI TEAS MATH DATA INTERPRETATION UNDERSTANDING

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ATI TEAS MATH DATA INTERPRETATIONUNDERSTANDING measurements of central

tendency• The mean of a data set is the average of the values.

• Add up all the values and divide that sum by the total number of values

• The median is the middle number in an ordered set of values. • Place all the values in an increasing order. If there are an odd

number of values, the median value is the middle number. If there are an even number of values, the median value is the average of the two middle values.

• The mode is the value that occurs the most in a data set. Important note: some data sets do not have a mode and some may have more than one.

FOR EXAMPLE: FIND THE MEAN, MEDIAN, AND MODE OF THIS DATA SET: {4, 8, -1, 6, 4, 8, -4}

THE MEAN IS FOUND BY ADDING ALL 7 VALUES AND DIVIDING THE SUM BY 7. 4 + 8 + -1 + 6 + 4 + 8 + -4 = 25. THE MEAN IS 25/7 OR 3.6.

ATI TEAS MATH DATA INTERPRETATIONUNDERSTANDING measurements of central

tendency• The mean of a data set is the average of the values.

• Add up all the values and divide that sum by the total number of values

• The median is the middle number in an ordered set of values. • Place all the values in an increasing order. If there are an odd

number of values, the median value is the middle number. If there are an even number of values, the median value is the average of the two middle values.

• The mode is the value that occurs the most in a data set. Important note: some data sets do not have a mode and some may have more than one.

FOR EXAMPLE: FIND THE MEAN, MEDIAN, AND MODE OF THIS DATA SET: {4, 8, -1, 6, 4, 8, -4}

THE MEDIAN IS FOUND BY PLACING THE VALUES IN ORDER: -4, -1, 4, 4, 6, 8, 8. THE MEDIAN (MIDDLE) VALUE IS 4.

Page 7: ATI TEAS MATH DATA INTERPRETATION€¦ · CHART SHOWS THE HIGHEST NUMBER OF YOUTUBE VIEWS? A. JANUARY B. FEBRUARY C. MARCH D. APRIL ATI TEAS MATH DATA INTERPRETATION UNDERSTANDING

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ATI TEAS MATH DATA INTERPRETATIONUNDERSTANDING measurements of central

tendency• The mean of a data set is the average of the values.

• Add up all the values and divide that sum by the total number of values

• The median is the middle number in an ordered set of values. • Place all the values in an increasing order. If there are an odd

number of values, the median value is the middle number. If there are an even number of values, the median value is the average of the two middle values.

• The mode is the value that occurs the most in a data set. Important note: some data sets do not have a mode and some may have more than one.

FOR EXAMPLE: FIND THE MEAN, MEDIAN, AND MODE OF THIS DATA SET: {4, 8, -1, 6, 4, 8, -4}

THE MODE IS THE MOST FREQUENTLY OCCURRING VALUE. IN THIS DATA SET THERE ARE TWO MODE VALUES: 4 AND 8.

ATI TEAS MATH DATA INTERPRETATION

UNDERSTANDING rangeThe shape of a data distribution may reveal one of two distribution categories. A symmetrical distribution can be divided at the center and will create a mirror image on the left and right of the dividing line.

Page 8: ATI TEAS MATH DATA INTERPRETATION€¦ · CHART SHOWS THE HIGHEST NUMBER OF YOUTUBE VIEWS? A. JANUARY B. FEBRUARY C. MARCH D. APRIL ATI TEAS MATH DATA INTERPRETATION UNDERSTANDING

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ATI TEAS MATH DATA INTERPRETATION

UNDERSTANDING rangeThe shape of a data distribution may reveal one of two distribution categories. A uniform distribution shows points spread evenly over the range of the data, but many data sets show peaks when graphed.

• A graph with a single peak is called unimodal

ATI TEAS MATH DATA INTERPRETATION

UNDERSTANDING rangeThe shape of a data distribution may reveal one of two distribution categories. A uniform distribution shows points spread evenly over the range of the data, but many data sets show peaks when graphed.

• A graph with a peak in the center and is symmetrical is called a bell-shape graph or a normal distribution

Page 9: ATI TEAS MATH DATA INTERPRETATION€¦ · CHART SHOWS THE HIGHEST NUMBER OF YOUTUBE VIEWS? A. JANUARY B. FEBRUARY C. MARCH D. APRIL ATI TEAS MATH DATA INTERPRETATION UNDERSTANDING

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ATI TEAS MATH DATA INTERPRETATION

UNDERSTANDING rangeThe shape of a data distribution may reveal one of two distribution categories. A uniform distribution shows points spread evenly over the range of the data, but many data sets show peaks when graphed.

• A graph with a single peak to the left of center (with fewer higher values on the right) is called a skewed right

• A graph with a single peak to the right of center (with fewer higher values to the left) is called a skewed left

ATI TEAS MATH DATA INTERPRETATION

UNDERSTANDING rangeThe shape of a data distribution may reveal one of two distribution categories. A uniform distribution shows points spread evenly over the range of the data, but many data sets show peaks when graphed.

• If only a small number of values are separated from the rest, these values are called outliers