Part 1
The hypotheses are:
H0: Customers are distributed uniformly through the week.
Ha: Customers are not distributed uniformly through the week.
Part 2
df = n - 1 = 7 - 1 = 6
This is a right tailed test; d.f. = 6
Part 3a
Test statistic formula is given as below:
Chi square = ∑[(O – E)^2/E]
Where, O is observed frequencies and E is expected frequencies.
Calculation tables for test statistic are given as below:
Day |
O |
E |
(O - E)^2/E |
Monday |
73 |
69.85714 |
0.141396436 |
Tuesday |
78 |
69.85714 |
0.949167397 |
Wednesday |
61 |
69.85714 |
1.122991528 |
Thursday |
88 |
69.85714 |
4.711948583 |
Friday |
74 |
69.85714 |
0.245690914 |
Saturday |
55 |
69.85714 |
3.159801344 |
Sunday |
60 |
69.85714 |
1.390885188 |
Total |
489 |
489 |
11.72188139 |
Test Statistic = Chi square = ∑[(O – E)^2/E] = 11.72188139
χ2 = 11.72
Part 3b
P-value = 0.069
(By using Chi square table or excel)
Part 4a
We have
α = 0.10
P-value = 0.069
So, P-value < α
So we reject the null hypothesis H0
Reject H0
Part 4b
Conclusion:
There is insufficient evidence to conclude that customers are distributed uniformly through the week.
Day Customers Monday 73 Tuesday 78 Wednesday Thursday 61 88 Friday 74 Saturday 55 Sunday 60...
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