Descriptives Annual Income N Mean Std. Deviation Std. Error 95% Confidence Inter

Question

Descriptives

Annual Income

N

Mean

Std. Deviation

Std. Error

95% Confidence Interval for Mean

Minimum

Maximum

Lower Bound

Upper Bound

Food Secure

11

66636.36

9319.579

2809.959

60375.39

72897.34

50000

75000

Somewhat Insecure

5

36200.00

8228.001

3679.674

25983.59

46416.41

25000

48000

Very Insecure

24

21583.33

10652.277

2174.387

17085.27

26081.40

10000

43000

Total

40

35800.00

22107.198

3495.455

28729.78

42870.22

10000

75000

ANOVA

Annual Income

Sum of Squares

df

Mean Square

F

Sig.

Between Groups

15311221210.000

2

7655610606.000

75.552

.000

Within Groups

3749178788.000

37

101329156.400

Total

19060400000.000

39

What can I summarize from both tables?

Descriptives

Annual Income

N

Mean

Std. Deviation

Std. Error

95% Confidence Interval for Mean

Minimum

Maximum

Lower Bound

Upper Bound

Food Secure

11

66636.36

9319.579

2809.959

60375.39

72897.34

50000

75000

Somewhat Insecure

5

36200.00

8228.001

3679.674

25983.59

46416.41

25000

48000

Very Insecure

24

21583.33

10652.277

2174.387

17085.27

26081.40

10000

43000

Total

40

35800.00

22107.198

3495.455

28729.78

42870.22

10000

75000

Explanation / Answer

The table titled Descriptive shows the summery statistics of the annual income divided into three different treatment group (Food Secure, Somewhat Insecure, Very Insecure). The summary statistics includes Mean, standard deviation, standard error, 95% confidence interval for the mean, minimum and maximum values. The second table titled ANOVA shows the summary of The Analysis of Variance (ANOVA) of the Annual Income. First row is the variability between the groups mentioned above and second row is the variability within groups(all three). Each row has sum of square, degrees of freedom, mean square error, value of F-statistics and p-value. The ANOVA table we got consists of testing the null hypothesis that all the groups have same mean annual income. We reject our null hypothesis if p-value

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