In: Statistics and Probability
1. Which of the following statements is true?
a |
If a hypothesis test is conducted at the 5% significance level, then a p-value of 0.087 would lead the researcher to reject H0. |
|
b |
A 99% z-based confidence interval of the population mean μ based on a sample will be narrower than a 95% z-based confidence interval of the population mean μ based on the same sample. |
|
c |
When division by a factor of n-1 is used, the sample variance s2 is an unbiased estimator of the population variance σ2. |
|
d |
The t-distribution with 1 degree of freedom is equivalent to the standard normal distribution. |
8. Consider a test of
H0 : μ = μ0
vs.
H0 : μ < μ0.
Suppose this test is based on a sample of size 8, that σ2 is known, and that the underlying population is normal. If a 5% significance level is desired, what would be the rejection rule for this test?
a |
Reject H0 if zobs < -1.645 |
|
b |
Reject H0 if tobs < -1.894 |
|
c |
Reject H0 if tobs < -2.306 |
|
d |
Reject H0 if zobs < -1.960 |
9. For a test of
H0 : μ = μ0
vs.
H1 : μ > μ0,
assume that the test statistic follows a t-distribution with 19 degrees of freedom. What is the critical value of the test if a 5% significance level is desired? (Express your answer as a positive decimal rounded to three decimal places.)
10. For a particular scenario, we wish to test the hypothesis H0 : μ = 13.1. For a sample of size 46, the sample mean X̄ is 11.2. The population standard deviation σ is known to be 8.3. Compute the value of the test statistic zobs. (Express your answer as a decimal rounded to two decimal places.)
Solution:
1)
Correct option is
When division by a factor of n-1 is used, the sample variance s2 is an unbiased estimator of the population variance σ2.
8)
Left tailed test
Critical value is =
Reject H0 if zobs < -1.645
9)
df = 19
= 5% = 0.05
Observe the alternative hypothesis H1 : μ > μ0,
> sign indicates Right tailed test
Critical value is t0.05,19 = 1.729
Answer: 1.729
10)
The test statistic z is given by
z =
= (11.2 - 13.1) / (8.3/46)
= -1.55