What is the difference between discrete and continuous?
2 answers:
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Answer:
a)
b) The z-value (1.5) is smaller than z=1.645 (critical value), so it is in the "acceptance region". It failed to reject the null hypothesis.
c) The p-value (0.07) is greater than the significance level (0.05), so it failed to reject the null hypothesis.
d) In this case, the error we may hae comitted is a Type II error (failed to reject a null hypothesis that is false).
Step-by-step explanation:
We have to perfomr a hypothesis test on the mean, with known standard deviation of the population.
a) The null hypothesis is that the deliver time is 15 days or less.
The null and alternative hypothesis are then:
The significance level is defined as 0.05.
b) The critical value of z for a one-side test (rigth side) and a significance level of 0.05 is z=1.645.
If the z-value for this sample is higher than 1.645, it is in the "rejection region".
Calculating the z-value:
The z-value (1.5) is smaller than z=1.645 (critical value), so it is in the "acceptance region". It failed to reject the null hypothesis.
c) The p-value for z=1.5 is:
The p-value (0.07) is greater than the significance level (0.05), so it failed to reject the null hypothesis.
d) There are two types of error:
Type I errors: happen when we reject a null hypothesis that is true.
Type II errors: happen when we failed to reject a null hypothesis that is false.
In this case, the error we may hae comitted is a Type II error.
