Math 37 - Lecture 13

Sampling Distributions

Statistics Parameters Type

"sample mean" m ="population mean"

"sample proportion" p="population proportion"

Example Consider the population of Reese's Pieces candies manufactured by Hershey. Suppose that you want to learn about the distribution of colors of these candies but that you can only afford to take a sample of 25 candies. Take a random sample of 25 candies and record the number and proportion of each color in your sample.

orange

yellow

brown

number

proportion

1) Is the proportion of orange candies among the 25 that you selected a parameter or a statistic?

2) Is the proportion of orange candies manufactured by Hershey’s process a parameter or a statistic? What symbol represents it?

3) Do you know the value of the proportion of orange candies manufactured by Hershey?

4) Do you know the value of the proportion of orange candies among the 25 that you selected?

5) Did every student in the class obtain the same proportion of orange candies?

Sampling Variability: How does the value of the statistic behave in repeated random samples?

- Construct dotplot of the sample proportions of orange candies obtained by the students in the class = Sampling Distribution

 

 

 

 

 

 

0 .04 .08 .12 .16 .20 .24 .28 .32 .36 .40 .44 .48 .52 .56 .60 .64 .68 .72 .76 .80 .84 .88 .92 .96 1.00

- If every student was to estimate the population proportion of orange candies by the proportion of orange candies in his/her sample, would everyone arrive at the same estimate?

- Would they be close?

- Guess the population proportion of orange candies (random apts)

- How would the dotplot have looked different if each student had taken a sample of 75 candies instead of 25? Pool your results with 2 neighbors and add this combined to a new dotplot. How do they compare?

 

 

 

 

 

0 .04 .08 .12 .16 .20 .24 .28 .32 .36 .40 .44 .48 .52 .56 .60 .64 .68 .72 .76 .80 .84 .88 .92 .96 1.00

Example: On the handout are the members of the U.S. senate. Consider this your population.

 

N

MEAN

MEDIAN

TRMEAN

STDEV

SEMEAN

Service

100

11.52

9.00

10.70

9.60

.960

Shape?

Is 11.52 years a parameter or a statistic?

Use your random number table to select a simple random sample of 10 senators. Record the years of service for these 10 senators:

Find the mean years of service for the 10 senators in your sample:

Is the mean years of service in your sample a parameter or a statistic?

Does the mean years of service in your sample equal that of the population?

 

 

 

 

 

 

 

 

 

+---------+---------+---------+---------+---------+-------average service

0.0 7.0 14.0 21.0 28.0 35.0

Where is the center of the means from the students in class?

What is the sample of this distribution?

 

How often did we observe a mean exceeding 15 years?

 

Below is a sample of 30 senators and their years of service,

Is the variability of your 30 values less than the variability of your 10 values?

Describe the shape:

Sampling Distribution of with n=30 senators in each sample:

- Is the variability of the sample means based on 10 values less than the variability of the sample means based on 30 values?

- Describe the shape:

Key Observations: Sampling Distributions (all possible samples)

 

Sample Mean,

Sample proportion,

Centered near

Population mean m

Population proportion p

Standard deviation

SD() decreases as n increases

SD() decreases as n increases

Shape

Approximately normal for large n

Approximately normal if n is large

 

Members of the U.S. Senate (1998)

ID

Name

Yrs

ID

Name

Yrs

1

Abraham

3

51

Hutchinson

1

2

Akaka

8

52

Hutchison

5

3

Allard

1

53

Inhofe

4

4

Ashcroft

3

54

Inouye

35

5

Baucus

20

55

Jeffords

9

6

Bennett

5

56

Johnson

1

7

Biden

25

57

Kempthorne

5

8

Bingaman

15

58

Kennedy

36

9

Bond

11

59

Kerrey

9

10

Boxer

5

60

Kerry

13

11

Breaux

11

61

Kohl

9

12

Brownback

2

62

Kyl

3

13

Bryan

9

63

Landrieu

1

14

Bumpers

23

64

Lautenberg

16

15

Burns

9

65

Leahy

23

16

Byrd

39

66

Levin

19

17

Campbell

5

67

Lieberman

9

18

Chafee

22

68

Lott

9

19

Cleland

1

69

Lugar

21

20

Coats

9

70

Mack

9

21

Cochran

20

71

McCain

11

22

Collins

1

72

McConnell

13

23

Conrad

11

73

Mikulski

11

24

Coverdell

5

74

Moseley-Braun

5

25

Craig

7

75

Moynihan

21

26

D'Amato

17

76

Murkowski

17

27

Daschlee

11

77

Murray

5

28

DeWine

3

78

Nickles

17

29

Dodd

17

79

Reed

1

30

Domenici

25

80

Reid

11

31

Dorgan

6

81

Robb

9

32

Durbin

1

82

Roberts

1

33

Enzi

1

83

Rockefeller

13

34

Faircloth

5

84

Roth

27

35

Feingold

5

85

Santorum

3

36

Feinstein

6

86

Sarbanes

21

37

Ford

24

87

Sessions

1

38

Frist

3

88

Shelby

11

39

Glenn

24

89

Smith, Bob

7

40

Gorton

9

90

Smith, Gordon

1

41

Graham

11

91

Snowe

3

42

Gramm

13

92

Specter

17

43

Grams

3

93

Stevens

30

44

Grassley

17

94

Thomas

3

45

Gregg

5

95

Thompson

4

46

Hagel

1

96

Thurmond

42

47

Harkin

13

97

Torricelli

1

48

Hatch

21

98

Warner

19

49

Helms

25

99

Wellstone

20

50

Hollings

32

00

Wyden

2