(b) Use the goodness of fit test to determine whether the assumption of a binomial probability distribution should be rejected. Use a 0.05. Because no parameters of the binomial probability distribution were estimated from the sample data, the degrees of freedom are k-1 when k is the number of categories. State the null and alternative hypotheses.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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A salesperson makes four calls per day. A sample of 100 days gives the following frequencies of sales volumes.
Number of Sales
X
0
1
2
0
3
1
4
2
3
4
Total
Observed Frequency
Records show sales are made to 30% of all sales calls. Assuming independent sales calls, the number of sales per day should follow a binomial probability distribution. The binomial probability function presented in Chapter 5 is
f(x) =
n!
x!(n-x)!*
p*(1 − p)^ - *.
Expected
Frequencies
(days)
For this exercise, assume that the population has a binomial probability distribution with n = 4, p = 0.30, and x = 0, 1, 2, 3, and 4.
(a) Compute the expected frequencies for x = 0, 1, 2, 3, and 4 by using the binomial probability function.
30
x = 2
x = 3
O x = 4
Onone of the above
33
28
3
6
100
Do any of the categories have an expected frequency that is less than five? (Select all that apply.)
Ox=0
Ux=1
Transcribed Image Text:A salesperson makes four calls per day. A sample of 100 days gives the following frequencies of sales volumes. Number of Sales X 0 1 2 0 3 1 4 2 3 4 Total Observed Frequency Records show sales are made to 30% of all sales calls. Assuming independent sales calls, the number of sales per day should follow a binomial probability distribution. The binomial probability function presented in Chapter 5 is f(x) = n! x!(n-x)!* p*(1 − p)^ - *. Expected Frequencies (days) For this exercise, assume that the population has a binomial probability distribution with n = 4, p = 0.30, and x = 0, 1, 2, 3, and 4. (a) Compute the expected frequencies for x = 0, 1, 2, 3, and 4 by using the binomial probability function. 30 x = 2 x = 3 O x = 4 Onone of the above 33 28 3 6 100 Do any of the categories have an expected frequency that is less than five? (Select all that apply.) Ox=0 Ux=1
Before conducting a goodness of fit test, we must combine categories if necessary to satisfy the requirement that the expected frequency is five or more for all categories. What categories should we combine in order to satisfy this requirement?
O x = 3 and x = 4
O x = 2 and x = 3
O x = 0 and x = 1
O x = 0, x = 1, and x = 3
O We don't need to combine any categories.
(b) Use the goodness of fit test to determine whether the assumption of a binomial probability distribution should be rejected. Use a = 0.05. Because no parameters of the binomial probability distribution were estimated from the sample data, the degrees of freedom are k-1 when k is the number of categories.
State the null and alternative hypotheses.
O Ho: The population does not have a binomial distribution.
H₂: The population has a binomial distribution.
O Ho: The sample does not have a binomial distribution.
H₂: The sample has a binomial distribution.
O Ho: The population has a binomial distribution.
H₂: The population does not have a binomial distribution.
OH: The sample has a binomial distribution.
H₂: The sample does not have a binomial distribution.
Find the value of the test statistic. (Round your answer to three decimal places.)
Find the p-value. (Round your answer to four decimal places.)
p-value =
State your conclusion.
O Reject Ho. We conclude that the assumption of a binomial distribution can be rejected.
O Reject Ho. We conclude that the assumption of a binomial distribution cannot be rejected.
O Do not reject Ho. We conclude that the assumption of a binomial distribution can be rejected.
O Do not reject Ho. We conclude that the assumption of a binomial distribution cannot be rejected.
Transcribed Image Text:Before conducting a goodness of fit test, we must combine categories if necessary to satisfy the requirement that the expected frequency is five or more for all categories. What categories should we combine in order to satisfy this requirement? O x = 3 and x = 4 O x = 2 and x = 3 O x = 0 and x = 1 O x = 0, x = 1, and x = 3 O We don't need to combine any categories. (b) Use the goodness of fit test to determine whether the assumption of a binomial probability distribution should be rejected. Use a = 0.05. Because no parameters of the binomial probability distribution were estimated from the sample data, the degrees of freedom are k-1 when k is the number of categories. State the null and alternative hypotheses. O Ho: The population does not have a binomial distribution. H₂: The population has a binomial distribution. O Ho: The sample does not have a binomial distribution. H₂: The sample has a binomial distribution. O Ho: The population has a binomial distribution. H₂: The population does not have a binomial distribution. OH: The sample has a binomial distribution. H₂: The sample does not have a binomial distribution. Find the value of the test statistic. (Round your answer to three decimal places.) Find the p-value. (Round your answer to four decimal places.) p-value = State your conclusion. O Reject Ho. We conclude that the assumption of a binomial distribution can be rejected. O Reject Ho. We conclude that the assumption of a binomial distribution cannot be rejected. O Do not reject Ho. We conclude that the assumption of a binomial distribution can be rejected. O Do not reject Ho. We conclude that the assumption of a binomial distribution cannot be rejected.
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