We’re trying to evaluate if the true proportion of people who are male is less than 50%. What type of test would be required to prove this?
Single sample t-test
Two sample z-test
Single sample z-test
Two sample t-test
2.Choose all that apply(5): What needs to be included for an interpretation of a hypothesis test?
The sample mean and variance
The significance level
The p-value
Sample size
The subject of interest
A mention of the true parameter
What we’ve shown/ failed to show.
Question 1
We’re trying to evaluate if the true proportion of people who are male is less than 50%. What type of test would be required to prove this?
Answer:
Single sample z-test
Explanation: We know that we use the one sample z test for population proportion for checking the claim regarding the population proportion. For the given scenario, we have
H0: p ≥ 0.5 versus Ha: p < 0.5
This is a lower tailed test.
Question 2
What needs to be included for an interpretation of a hypothesis test?
Answer:
The significance level
The subject of interest
A mention of the true parameter
What we’ve shown/ failed to show.
We’re trying to evaluate if the true proportion of people who are male is less than...
1.Choose all that apply(5): What needs to be included for an interpretation of a hypothesis test? The sample mean and variance The significance level The p-value Sample size The subject of interest A mention of the true parameter What we’ve shown/ failed to show. 2.How is a confidence level determined? It is selected It is calculated depending on which test you’re using It is observed It is predetermined based on the test you’re using
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