Question

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 is always positive.

Answer #1

1. A null hypothesis states that there is
A. No significant difference between a population parameter and
sample statistic.
B. A significant difference between a population parameter and
sample statistic.
C. The difference between the population parameter and sample
statistic is significant and can be attributed to sampling
error.
D. The difference between the population parameter and sample
statistic is insignificant and cannot be attributed to sampling
error.
E. None of the above
2. An alternative hypothesis states that there...

1. Which statement is incorrect?
A. The null hypothesis contains the equality sign
B. When a false null hypothesis is not rejected, a Type II error
has occurred
C. If the null hypothesis is rejected, it is concluded that the
alternative hypothesis is true
D. If we reject the null hypothesis, we cannot commit Type I
error
2. When carrying out a large sample test of H0: μ ≤ 10
vs. Ha: μ > 10 by using a critical value...

In hypothesis testing, which statement is true?
A. if we reject the alternate hypothesis we will have proof of the
null hypothesis.
B. the null hypothesis will not be rejected unless the probability
of observing the data provide convincing evidence that it is
true.
C. the null hypothesis will not be rejected unless the probability
in the critical region is large.
D. the null hypothesis will not be rejected unless the test
statistic is larger (absolutely) than the critical value.

For a one-tail (lower) test for a single population, we do not
reject the null if the test statistic is greater than or equal to
the negative of the critical value.
True or false

(1 point)
Type I error is:
A. Deciding the null hypothesis is true when it is
false
B. Deciding the alternative hypothesis is true
when it is false
C. Deciding the null hypothesis is false when it
is true
D. Deciding the alternative hypothesis is true
when it is true
E. All of the above
F. None of the above
Type II error is:
A. Deciding the null hypothesis is false when
it is true
B. Deciding the alternative hypothesis...

1. TRUE or FALSE State whether the statement is true or false,
and also give a brief sentence explaining why you believe this.
(a) If we decrease the confidence level for a fixed n, we
decrease the width of the confidence interval.
(b) A research article reports that a 95% confidence interval
for mean reaction time is from 0.25 to 0.29 seconds. About 95% of
individuals will have reaction times in this interval.
c) In a hypothesis test, a p-value...

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...

Label as True or False
When the population standard deviation is known you can always
use a critical Z value to construct a confidence
interval__________
In a hypothesis test, if P > α then we reject
H0__________
After calculating a minimum sample size you should always bump
up to the next whole number for your final answer __________
In a hypothesis test, the type of test (left, right or
two-tailed) is determined by inequality/equality symbol associated
with the original claim____________...

d. Interpret the results of your t-test from #3b… Can we reject
the null hypothesis? Is it safe to say that the mean Average Daily
Sales for Location Type A and for Location Type B are the same,
based on this data? Please Interpret the data and if the
hypothesis can be rejected?
t-Test: Two-Sample Assuming Equal Variances
Variable 1
Variable 2
Mean
472.0135
549.6954372
Variance
133320.6
123688.0235
Observations
2
2
Pooled Variance
128504.3
Hypothesized Mean Difference
0
df
2...

For each of the following statements, identify whether the
statement is true or false, and explain why. Please limit each
response to no more than 3 sentences.
i) A p-value is the probability that the null hypothesis is
false. ii) A chi-square test statistic can never be negative.
iii) If we reject the null hypothesis that a population
proportion is equal to a specific value, then that specific value
will not be contained in the associated confidence interval.
iv) If...

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