The null and alternative hypotheses for a problem are: H0: p ≤ 0.40 Ha: p > 0.40 The sample information for the problem is: n = 150 X = 74 (Count of the number of successes) How do you know that the sample mean of this problem (P with bar on top) is normally distributed?
a. Since 74 ≥ 5 and 76 ≥ 5 we know that P with bar on top is normally distributed. b. Since 60 ≥ 5 and 90 ≥ 5 we know that P with bar on top is normally distributed. c. Since 150 ≥ 30 we can rely on the Central Limit Theorem to know that P with bar on top is normally distributed. d. We must assume the population is normally distributed.
The given information is:
*The hypothesis is,
*The sample size (n) is 150.
*The number of successes (x) is 74.
If the size of the chosen sample (n) is large and the below stated conditions are satisfied,
then the sampling distribution of proportion follows normal distribution with mean (p) and standard deviation .
So,
Since np = 60 and n(1 – p) = 90 are greater than 5, so it can be said that the conditions are satisfied.
Therefore, the correct statement is “Since 60 ≥ 5 and 90 ≥ 5 we know that P with bar on top is normally distributed”.
Hence, the option (b) is correct.
Get Answers For Free
Most questions answered within 1 hours.