Each of the digits in a raffle is thought to have the same chance of occurrence. The table shows the frequency of each digit for consecutive drawings in a California lottery. Perform the chi-square test to see if you reject the hypothesis at the 0.02 significance level that the digits are from a uniform population.
Digit | Frequency | Digit | Frequency |
0 | 41 | 5 | 35 |
1 | 40 | 6 | 37 |
2 | 41 | 7 | 32 |
3 | 31 | 8 | 33 |
4 | 38 | 9 | 32 |
State the decision rule. Use 0.02 significance level. (Round your answer to 3 decimal places.)
H0: The digits are uniformly distributed.
H1: The digits are not uniformly distributed.
1) Reject H0 if chi-square > _____
2) Compute the value of chi-square
1)
Reject H0 if chi-square >19.679
2)applying chi square test:
relative | observed | Expected | residual | Chi square | |
category | frequency | Oi | Ei=total*p | R2i=(Oi-Ei)/√Ei | R2i=(Oi-Ei)2/Ei |
0 | 0.1000 | 41 | 36.00 | 0.83 | 0.694 |
1 | 0.1000 | 40 | 36.00 | 0.67 | 0.444 |
2 | 0.1000 | 41 | 36.00 | 0.83 | 0.694 |
3 | 0.1000 | 31 | 36.00 | -0.83 | 0.694 |
4 | 0.1000 | 38 | 36.00 | 0.33 | 0.111 |
5 | 0.1000 | 35 | 36.00 | -0.17 | 0.028 |
6 | 0.1000 | 37 | 36.00 | 0.17 | 0.028 |
7 | 0.1000 | 32 | 36.00 | -0.67 | 0.444 |
8 | 0.1000 | 33 | 36.00 | -0.50 | 0.250 |
9 | 0.1000 | 32 | 36.00 | -0.67 | 0.444 |
total | 1.000 | 360 | 360 | 3.833 |
value of chi-square =3.833
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