Question

Which of the following statements about rejecting the null hypothesis is true? Group of answer choices If the p-value is such that you can reject Ho for a 5% level of significance, you can always reject it for a 1% level of significance. If the sample data is such that for a one-tailed test of the mean you can reject Ho at the 1% level of significance, you can always reject Ho for a two-tailed test at the same level of significance. If the p-value is such that you can reject Ho for a 1% level of significance, you can always reject it for a 5% level of significance. If the sample data is such that for a one-tailed test of the mean you can reject Ho at the 5% level of significance, you can always reject Ho for a two-tailed test at the 1% level of significance.

Answer #1

option A is incorrect because rejecting the null hypothesis at 5% level means that p value must be less than 0.05, but it does not mean that p value is less than 0.01. So, we can reject the Ho at 1% level just because the p value is less than 5%

option B is incorrect because p value for the two tailed hypothesis test is always twice of one tailed test p value, so it is possible that for two tailed hypothesis test the p value will be greater than 1%. So, statement is incorrect

**option C is correct because when p value is less
than 1%, then it is always less than 5%. So, we will definitely
reject Ho at 5%, when Ho is rejected at 1% level.**

option D is incorrect because rejecting the null hypothesis at 5% level means that p value must be less than 0.05, but it does not mean that p value is less than 0.01. So, we can reject the Ho at 1% level just because the p value is less than 5%

Please answer True or False for the following statements:
1.) In hypothesis testing, if the null hypothesis is rejected,
then the alternative or motivated hypothesis must also be
rejected.
2.) Under certain conditions, binomial distributions can be
approximated by normal distributions.
3.) Using a normal distribution to approximate binomial
probabilities is extremely accurate, but takes an excessive amount
of time and should be avoided.
4.) A bell-shaped curve is still normal, even if the mean,
median, and mode are not...

Which of the following are true statements? I. If there is
sufficient evidence to reject a null hypothesis at the 5% level,
then there is sufficient evidence to reject it at the 1% level. II.
Whether to use a one- or two-sided test is typically decided after
the data are gathered III. If a hypothesis test is conducted at the
1% level, there is a 1% chance of rejecting the null hypothesis

Which of the following statements about hypothesis
testing is true?
If the data provide sufficient evidence for the alternative
hypothesis, then the conclusion is to reject H0.
A hypothesis test provides a plausible range of values for a
parameter.
If the data provide sufficient evidence for the null hypothesis,
then the conclusion is to reject H1.
A hypothesis test uses sample data to determine which of two
competing hypotheses is true.
For a two-sided hypothesis test in which the test...

Question 4
Consider the following statements concerning the methodology of
classical hypothesis testing:
A. The decision to reject the null hypothesis is made when the
p-value is less than alpha.
B. The decision to reject Ho implies that the sample
data used for the test must have been inappropriate and a different
sample will always need to be re-selected.
C. When the level of significance is decreased for a test where
Ha specifies that the value of the population parameter...

_____11) If the null hypothesis is that the population mean is
equal to 150 and a sample
mean of 113 gave significant support against the
null hypothesis, which of the
following sample means would be certain to give
support against the null
hypothesis.
a)
114
b.)
122
c.)
264
d.)
112
_____12) If the p-value is less than the significance level, you
would .
a.) reject
the null hypothesis
b.) accept...

Which of the following statements is true if when using null
hypothesis testing, our p value (in the “sig” column of SPSS
output) is 0.063?
Fail to reject the null hypothesis
Reject the null hypothesis
Cannot determine with the information provided
What graph type is most appropriate for a Chi Square Test of
Independence?
line chart
box plot
bar graph (# cases or count with no error bars)
clustered bar graph (# cases or count with no error bars)
Which...

1. Which of the following statements is correct?
a.
For a given level of significance, the critical value of
Student's t increases as n increases.
b.
A test statistic of t = 2.131 with d.f. = 15 leads to a
clear-cut decision in a two-tailed test at d = .05.
c.
It is harder to reject the null hypothesis when conducting a
two-tailed test rather than a one-tailed test.
d.
If we desire α = 0.10 then a p-value of...

What can you say about the following statement:
“If there is sufficient evidence to reject a null hypothesis
at the 10%significance level, then there is sufficient evidence to
reject it at the 5% significance level”
Group of answer choices
Always True
Not Enough Information; this would depend on the type of
statistical test used.
Never True
Sometimes True; the p-value for the statistical test needs to be
provided for a conclusion.

The primary purpose of hypothesis testing is to attempt to
reject the null hypothesis not to accept the alternative
hypothesis.
True
False
In hypothesis testing, a Type 1 error is
failing to reject the null hypothesis when it is true.
failing to reject the null hypothesis when it is false.
rejecting the null hypothesis when it is true.
rejecting the null hypothesis when it is false.
In general, the power of a statistical test is the probability
that a test...

1. The P-value of a test of the null hypothesis is
a. the probability the null hypothesis is true.
b. the probability the null hypothesis is false.
c. the probability, assuming the null hypothesis is false, that
the test statistic will take a value at least as extreme as that
actually observed.
d. the probability, assuming the null hypothesis is true, that
the test statistic will take a value at least as extreme as that
actually observed.
2. The P-value...

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