What is the meaning of testing a hypothesis at an alpha level of 0.05?
A) There is 95% confidence that the observed results are due to sampling error
Or because of sample randomness.
B) The chances of not rejecting the null hypothesis when it is false is more
Than 5%.
C) There is a 95% chance that the observed result from the sample analysis will also occur in the population.
D) The probability of committing a Type II error is about 5%.
E) There is 95% chance of a gamma error.
Correct Answer:
Verified
Q4: What type of data would be necessary
Q5: Samples in which the measurement of a
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Q7: Suppose in our sample results we find
Q8: The hypothesis of the status quo is
Q10: What is the purpose of hypothesis testing?
A)to
Q11: Why is the null hypothesis called the
Q12: For comparing means,most statistical software packages use
Q13: In testing a hypothesis about means,if the
Q14: In most statistical software packages,the t-test is
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