5. A pilot training manager has hypothesized that 30 percent of the pilot want more flying hours during night compare to daylight flying.
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In the random interview it seem only 45 percent preferred night flying.
Develop Hypothesis:
Null Hypothesis (Ho) : ___________________________________________
Alternate Hypothesis (H1) : ___________________________________________
Test the hypothesis using 9 % significance level
Decision Rule
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Interpret
PLEASE USE THIS FORMULA ONLY. AND INTERPRET THE ANSWER IN 2 SENTENSES
π - Z √((p . q)/n) <-------->. π + Z √((p . q)/n)
Answer)
Null hypothesis Ho : P = 0.3 (30%)
Alternate hypothesis Ha : P not equal to 0.3 (30%)
N = 235
First we need to check the conditions of normality that is if n*p and n*(1-p) both are greater than 5 or not
N*p = 70.5
N*(1-p) = 164.5
Both the conditions are met so we can use standard normal z table to estimate the P-Value
Test statistics z = (oberved p - claimed p)/standard error
Standard error = √{claimed p*(1-claimed p)/√n
Observed P = 0.47
Claimed P = 0.3
N = 235
After substitution
Test statistics Z = 5.69
From z table, P(z>5.69) = 0
As our test is two tailed
So, P-value is = 2*0 = 0
As the obtained P-value is less than 0.09 (given significance)
Reject Ho
We do not have enough evidence to conclude that 30 percent of the pilot want more flying hours during night compare to daylight flying.
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