Question

True or False: For all hypothesis tests, a small p-value means we will reject the null.

True or False: If you are testing the means of two groups, then you would use ANOVA.

True or False: A two-sample confidence interval must capture zero to show the groups are different.

True or False: The test statistic for ANOVA is the f-statistic.

True or False: For Chi-Square tests, if the observed counts and expected counts are extremely different, then we would have a large p-value.

Answer #1

**Please don't hesitate to give a "thumbs up" for the
answer in case the answer has helped you**

1. False - The p-value should be smaller than alpha to reject the null , if p-value is small but more than alpha then we fail to reject the null

2. False - You could also use t-test for means comparison

3. False - If zero exists within the confidence interval then the groups are NOT different

4. True - ANOVA has the F-test, which has the F-statistic

5. False - It is actually the opposite, if the observed and expected counts are extremel different, then the p-value will be small.

1. True or False? If we would reject a null hypothesis at the 5% level, we would also reject it at the 1% level.
2. True or False? Other things being equal, a small level of
significance is desirable

“Assuming the null hypothesis is true, the expected value of
every test statistic we have seen this semester, whether it is a z,
t, or chi-square test statistic, is 0.”
One of your friends says the above statement.
Respond to this statement.
In your response, include,
1) For z tests about population proportions: what is the
distribution and the corresponding expected value of a z test
statistic under the null.
2) For t tests about population means: what is the...

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...

True or False?
A) You do a hypothesis test on 2 means, if you reject H0 at the
significance level of 10%, then you will reject H0 at the
significance level of 5%. T or F?
B) If the variances of 2 normal populations are unknown but
assumed to be unequal, the appropriate statistic to compare the 2
means is the t of student (we assume here a small sample) . T or
F?
C) If the variances of 2...

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...

Indicate whether the following statement is true or false.
If we do not reject the null hypothesis, it is possible we have
made both type I and type II errors.
In an upper tail hypothesis test for the mean, the critical
value is 2.575 and the test statistic is 2.5. In this case, the
null hypothesis should not be rejected.
The calculated p-value should be divided by 2 to make the
decision for a two tail test.
The sampling error...

1) The larger the chi-square statistic, the weaker the evidence
against the null hypothesis. True or False
2) The more similar the conditional distributions in a two-way
table are, the larger the P-value of the chi-square test
becomes. True or False

True or False
1. Hypothesis tests are robust to the significance level you
choose, meaning regardless of the alpha level: .10, .05, or .01,
our test will have the same conclusion or result.
2. If alpha is greater than the p-value, then we reject the null
hypothesis.
3. The p-value is strictly the probability the null hypothesis
being true.
4. Hypothesis tests are accessing the evidence provided by the
data and deciding between two competing hypotheses about the
population parameter....

1. p-value is the smallest area under the curve in which we
would reject the null hypothesis. True or false.
2. For a one tail test, we divide the level of significance
(alpha) by 2 to calculate the critical value. True or false.
3. A p-value can be calculated by the area under the curve to
the left of Z when Z is less than the mean. True or false.
4. A respondent to a survey indicates that she drives...

The one-sample runs test uses a test statistic that is normally
distributed, as long as the number of runs of each type is large
enough.
Parametric tests generally are more powerful than nonparametric
tests when normality can be assumed.
Rejection of a hypothesis using a nonparametric test is less
convincing than using an equivalent parametric test, since
nonparametric tests generally make fewer assumptions.
In a hypothesis test using chi-square, if the null hypothesis is
true, the sample value of the...

ADVERTISEMENT

Get Answers For Free

Most questions answered within 1 hours.

ADVERTISEMENT

asked 5 minutes ago

asked 52 minutes ago

asked 52 minutes ago

asked 54 minutes ago

asked 58 minutes ago

asked 58 minutes ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago