Question

In: Math

Imagine a basketball player named Shack. He is getting old, doesn’t run too well and has...

Imagine a basketball player named Shack. He is getting old, doesn’t run too well and has always been a poor free-throw shooter. He decides to work on the last of these as follows:Five times per day for the next 80 days he will shoot four free throws and count thenumber of successes that he achieves.Thus, Shack will collect n = 400 numerical values, with each value being one of: 0, 1, 2, 3 or 4.Shack wants to use the Goodness of Fit Test to test whether these 400 values behave as if they come from a binomial distribution. Note p is unknown.His O’s are below.Outcome01234Oi251181399325(1)State the null hypothesis and alternative hypothesis. (2)Estimateπ.(3)Fill the following table and carry out a multinomial 2test with =0.05 BY HAND. Remember to state your conclusions.

Outcome 0 1 2 3 4

Oi 25 118 139 93 25

Pi

Ei

Oi-Ei

(Oi-Ei)2

(Oi-Ei)2/Ei

Solutions

Expert Solution

1) The null and alternative hypothesis

H0 : The distribution of success Shack achieves follow Binomial distribution with n=4, p =0.5

Ha : The distribution of success is different from  Binomial distribution

2) As p is unknown we assume , p =0.5

3) Let X be the number of success

X follow Binomial with n=4 , p=05 ( according to null hypothesis )

We know that

Similarly we calculate other probabilities

X P(X) Ei Oi Oi-Ei (Oi-Ei)^2 (Oi-Ei)^2/Ei
0 0.0625 25 25 0 0 0
1 0.25 100 118 18 324 3.24
2 0.375 150 139 -11 121 0.806666667
3 0.25 100 93 -7 49 0.49
4 0.0625 25 25 0 0 0
1 400 400 4.536666667

Test statistic

= 4.54

degrees of freedom = 5-1 =4

P value =0.3378

Since P value > 0.05

The difference is not significant

We fail to reject H0

There is not sufficient evidence to conclude that the distribution of success is different from Binomial distribution.


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