in hypothesis testing if the null hypothesis is rejected
-the alternative hypothesis is likely to be true
- no conclusions can be drawn from the test
-the data must have been accumulated incorrectly
-the sample size has been to small
In a hypothesis test, the null hypothesis of < 81 is rejected
because the P-value was 0.0465. The sample size “n” was 55 and the
sample mean was 84.5. Find the value of the population standard
deviation “σ”.
If the null hypothesis is rejected at the .05 level of
significance, it will a. always not be rejected at the .10 level of
significance. b. always be rejected at the .10 level of
significance. c. sometimes be rejected at the .10 level of
significance. d. sometimes not be rejected at the .10 level of
significance.
A null hypothesis is not rejected at a given level of
significance. As the assumed value of the mean gets further away
from the true population mean, the Type II error will
1) Which of the following statements are true?
If the null hypothesis is rejected at the 1% level of
significance, then it will be rejected at 5% of level of
significance.
For a given confidence level, halving the margin of error
requires a sample twice as large.
For a specified confidence level, larger samples provide smaller
margins of error.
a) Ionly b) IIonly c) IIIonly d) IandIIonly e) IandIIIonly
2) Suppose that you take random samples of size n from...
a) If sample data are such that the null hypothesis is rejected
at the alpha=5% level of significance based upon a 2 tailed test,
is H0 also rejected at the alpha=1% level of significance ?
Explain. b) If a 2 tailed hypothesis test leads to rejection of the
null hypothesis at a certain level of significance, would the
corresponding 1 tailed test lead to rejection of the null
hypothesis ? Explain.
A) If sample data are such that the null hypothesis is rejected
at the alpha=5% level of significance based upon a 2 tailed test,
is Ho also rejected at the alpha=1% level of significance?
Explain.
B) If a 2 tailed hypothesis test leads to rejection of the null
hypothesis at a certain level of significance, would the
corresponding 1 tailed test lead to rejection of the null
hypothesis? Explain.
here is my Null Hypothesis and Alternative Hypothesis:
Null Hypothesis: There is no significant difference in the
housing expenses between married and unmarried households.
Alternative Hypothesis: There is a significant difference in the
housing expenses between married and unmarried households.
what are the type I and type II errors?
Identify the null hypothesis, alternative hypothesis,
test statistic, P-value, conclusion about the
null hypothesis, and final conclusion that addresses
both the claim and the significance level
alpha. Use the P-value method.
A sample of 17 jellybeans with a mean weight of 0.8295 g was
taken. Assume that
σ is known to be 0.0565 g. Consider a hypothesis test that uses
a 0.05 significance level
to test the claim that the mean weight of all jellybeans is
equal to 0.8550 g...
Identify the null hypothesis, alternative hypothesis, test
statistic, P-value, conclusion about the null hypothesis, and final
conclusion that addresses the original claim.
Various temperature measurements are recorded at different times
for a particular city. The mean of 20°C is obtained for 60
temperatures on 60 different days. Assuming that test the claim
that the population mean is 22°C . Use a 0.05 significance level.
Testing Hypothesis Z-Table