Question
I need help with a Chi-Square Goodness of Fit test at the 0.05 level of significance with 8 degrees of freedom for the following data:
I need help with a Chi-Square Goodness of Fit test at the 0.05 level of significance with 8 degrees of freedom for the following data:
This is a sample of a larger population of 56. The first three values are sales from a series of days with clear skies (97,075, 125,019, and 92,876), the second three values are sales from a series of overcast days (128,998, 97,543, and 78110), and the final three values are sales from a series of rainy days (85,346, 74,923, and 86,554).
97,075 |
125,019 |
92,876 |
128,998 |
97,543 |
78,110 |
85,346 |
74,923 |
86,554 |
The descriptive stats are as follows:
Mean | $96,272 |
Median | $92,876 |
Mode | N/A |
Standard Deviation | $19,074 |
Range | $54,075 |
Count | 9 |
The Expected Value is 96,272. That is all the information that I am given.
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