5 )
The hypothesis are :
H0 : Bicycle deaths occur with equal frequency with respect to day.
H1: Bicycle deaths occur with unequal probability with respect to day.
The test statistic is

O = Observed frequency
E = Expected frequency
E = N* p
All days have same probability. So p = 1/7 and N= 200.
Hence expected frequency = E = 200 * 1/7 = 28.57 for each day.
| O | E | ![]() |
| 16 | 28.57 | 5.530 |
| 35 | 28.57 | 1.447 |
| 16 | 28.57 | 5.530 |
| 28 | 28.57 | 0.011 |
| 34 | 28.57 | 1.032 |
| 41 | 28.57 | 5.408 |
| 30 | 28.57 | 0.072 |
| Total | 19.031 |
So, test statistic is
= 19.031
df = Number of days - 1 = 7 -1 = 6 ,
= 0.05
In the chi square probability table , we look across df = 6 and probability 0.05 .
So the critical value =
Here calculated value of
> critical value of
Hence we reject null hypothesis.
Conclusion : There is no evidence to believe that bicycle deaths occur with unequal frequency with respect to day.
Goodness of Fit Test 5. Aresearcher wanted to determine bicycle deaths were uniformly distributed over the...
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A researcher wanted to determine whether certain accidents were uniformly distributed over the days of the week. The data show the day of the week or n = 304 randomly selected accidents. Is there reason to believe that the accident occurs with equal frequency with respect to the day of the week at the α = 0.05 level of significance? B Click the icon to view the table Distribution of accidents : More accidents occur earlier in the week than...
A
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