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3.3 Measures of Position Measures of location in comparison to the mean. - standard scores - percentiles - deciles - quartiles

3.3 Measures of Position

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3.3 Measures of Position. Measures of location in comparison to the mean. - standard scores - percentiles - deciles - quartiles. Z score or Standard Score. 90 on a music test vs 45 on an English test. - PowerPoint PPT Presentation

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Page 1: 3.3 Measures of Position

3.3 Measures of Position

Measures of location in comparison to the mean.- standard scores- percentiles- deciles- quartiles

Page 2: 3.3 Measures of Position

Z score or Standard Score

90 on a music test vs 45 on an English test

The Z score tells us how many standard deviations a data value is above or below the mean.

Page 3: 3.3 Measures of Position

Z score or Standard Score

The Z score tells us how many standard deviations a data value is above or below the mean.

-Subtract the mean from the value and divide by standard deviation

Z =

Z=

population

sample

Page 4: 3.3 Measures of Position

A student scores a 65 on a calc test that has a mean of 50 and a standard deviation of 10. She scored a 30 on a history test with a mean of 25 and standard deviation of 5. Compare her relative positions on the two tests.

Page 5: 3.3 Measures of Position

Test 1: X = 38, X = 40 and s = 5

Test 2: X = 94, X = 100, s = 10

Page 6: 3.3 Measures of Position

A set of data has a mean of 105 and a standard deviation of 8. Find the data values that correspond to the following z scores.

a. 2b. -1c. 0d. -1.6

Page 7: 3.3 Measures of Position

Percentiles

Percentiles divide the data set into 100 equal groups

Page 8: 3.3 Measures of Position
Page 9: 3.3 Measures of Position

Percentiles are symbolized by P1,P2, P3, ...P100

Dividing the distribution into 100 groups.

P1

1%

P2

1%

P99

1%

Page 10: 3.3 Measures of Position

Percentiles

The percentile corresponding to a given value X is found using the following formula:

Percentile = (number of values below X) + .5

total number of values100%

Page 11: 3.3 Measures of Position

A teacher gives a 20 point test to 10 students. Find the percentile rank of the score of 12. Then find the percentile rank of the score of 6.

18,15,12,6,8,2,3,5,20,10

Page 12: 3.3 Measures of Position

18,15,12,6,8,2,3,5,20,10

Now use the data to determine the value corresponding with the 25th percentile.

Formula to use: c = n*p100

n = # valuesp = percentile

if c is not a whole number: round up to the nearest whole numberif c is a whole number find the value halfway between the cth term and the c+1 term

Page 13: 3.3 Measures of Position

Find the value that corresponds to the 60th percentile

2,3,5,6,8,10,12,15,18,20

Page 14: 3.3 Measures of Position

The frequency distribution for the systolic blood pressure readings (in mm or mercury) of 200 randomly selected college students is shown here. Construct a Percentile Graph.

Boundaries Frequency

cumulative frequency

cumulative percent

89.5-104.5

24

104.5-119.5

62

119.5-134.5

72

134.5-149.5

26

149.5-164.5

12

164.5-179.5

4

Page 15: 3.3 Measures of Position

Class Boundaries

Cum

ulat

ive

Perc

enta

ges

Page 16: 3.3 Measures of Position

Quartiles

Quartiles divide the distribution into 4 groups: Q1,Q2,Q3,

Q1 --> is the same as P25 or 25th percentile

Q2 --> is the same as P50 or 50th percentile

Q3 --> is the same as P75 or 75th percentile

Page 17: 3.3 Measures of Position

smallest data value

largest data valueQ

1Q2

Q3

MD

25% 25% 25% 25%

Page 18: 3.3 Measures of Position

Q1

Q2 --> The Median!

Q3

Finding the Quartiles

--> The median of the data below Q2

--> The median of the data above Q2

Page 19: 3.3 Measures of Position

Find Q1,Q2 and Q3 for the following data set.

15,13,6,5,12,50,22,18

Page 20: 3.3 Measures of Position

Deciles

Deciles divide the data into ______ groups.

We can use the formula for Percentiles to find Deciles

Page 21: 3.3 Measures of Position

Interquartile Range

Quartiles can be used as a rough measurement of variability

Interquartile Range: (IQR) the difference between Q3 and Q1. Or the range of the middle 50% of the data.

We can use the IQR to identify outliers

Page 22: 3.3 Measures of Position

OutlierAn extremely high or extremely low value when compared to the rest of the data.

Outliers affect:- mean-standard deviation-range

Page 23: 3.3 Measures of Position

How do we determine if a value is high or low enough to be an outlier?

1. Put the data in order and find the quartiles.2. Find IQR3. Multiply the IQR by 1.54. Subtract the product from Q1 and add it to Q3. 5. If there are any values lower or higher than those two values, they are considered outliers.

Page 24: 3.3 Measures of Position

Check the following for outliers5,6,12,13,15,18,22

Page 25: 3.3 Measures of Position

Using the Calculator

1. Enter data into L12. Press stat3. Move the arrow 1 right to Calc4. Press 1 for Var-Stats5. Press 2nd L1 then enter

Page 26: 3.3 Measures of Position

Using the Calculator

Your calculator will display the following:x: sample mean x: sum of the data values x2: sum of the squares of the data valuesSx: sample standard deviation : population standard deviationminX: smallest data valueQ1: lower quartileMed: medianQ3: upper quartilemaxX: largest data value

Page 27: 3.3 Measures of Position

Using the Calculator

Use your calculator to find the stats on the following data:11.2, 11.9, 12.0, 12.8, 13.4, 14.3

Page 28: 3.3 Measures of Position

Using the Calculator

For grouped data...1. Enter midpoints into L12. Enter frequencies into L23. Press stat button4. Use arrow to move 1 right to calc5. Press 1 for vars stats6. Press 2nd L1 and 2nd L2 then enter

Page 29: 3.3 Measures of Position

Using the Calculator

Find the mean and standard deviation of the following data.

5.5-10.5 1 810.5-15.5

2 13

15.5-20.5

3 18

20.5-25.5

5 23

25.5-30.5

4 28

30.5-35.5

3 33

35.5-40.5

2 38

Page 30: 3.3 Measures of Position

Using the Calculator

Graph a percentile graph on your calculator

5.5-10.5 110.5-15.5

2

15.5-20.5

3

20.5-25.5

5

25.5-30.5

4

30.5-35.5

3

35.5-40.5

2

Page 31: 3.3 Measures of Position