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Owner: kiahg15
Created: Dec 15, 2017
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Project 4
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This data set population not a sample. This includes every player in the NBA.



One sample Z hypothesis test:

μ : Mean of variable

H0 : μ = 25

HA : μ ≠ 25

Standard deviation not specified.


Hypothesis test results:

Variable

n

Sample Mean

Std. Err.

Z-Stat

P-value

Age

342

26.435673

0.22247238

6.4532617

1



Variable: AGE

Null: m=25

Alternative: m<25

Z Stat:  6.4532617


Conclusion: Greater than the significance level


Contingency table results:

Rows: Minutes

Columns: Age

 

15 to 20

20 to 25

25 to 30

30 to 35

35 to 40

Total

0 to 500

0

12

8

1

0

21

500 to 1000

1

25

21

13

3

63

1000 to 1500

0

24

28

11

5

68

1500 to 2000

1

20

29

14

3

67

2000 to 2500

0

25

33

14

3

75

2500 to 3000

0

17

24

3

1

45

3000 to 3500

0

1

2

0

0

3

Total

2

124

145

56

15

342


Chi-Square test:

Statistic

DF

Value

P-value

Chi-square

24

19.59822

0.7194

Warning: over 20% of cells have an expected count less than 5.

Chi-Square suspect.


Variables: Age and Minutes


Age and Minutes are not correlated but then again age can have an effect on players minutes


Chi-Squared: 19.59822

P-Value: 0.7194


The P value is greater than the significance level which means you do not regret


Analysis of Variance results:

Data stored in separate columns.


Column statistics

Column

n

Mean

Std. Dev.

Std. Error

Age

342

26.435673

4.1142356

0.22247238

Minutes

342

1645.3801

731.0056

39.528256


ANOVA table

Source

DF

SS

MS

F-Stat

P-value

Columns

1

4.4818777e8

4.4818777e8

1677.393

<0.0001

Error

682

1.8222566e8

267193.06

   

Total

683

6.3041344e8

     


Variables: Age and Minutes

 

Mean Age is = to Mean Minutes


HTML link:
<A href="https://www.statcrunch.com/5.0/viewreport.php?reportid=74639">Project 4 </A>

Comments
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By xg15
Dec 16, 2017

Need conclusion for t test and anova,
in anova or t test, we are testing the population mean .

Always Learning