Descriptives Annual Income N Mean Std. Deviation Std. Error 95% Confidence Inter
ID: 3056130 • Letter: D
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-valueRelated Questions
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