Question

1. Choose the correct statistical decision at the 0.05 significance level based on the given research finding.

A researcher measured the amount of relationship as “4.68” from the normal distribution with mean = 2 and standard deviation = 1.

A. The observed sample relationship is inside the critical
region. B. The observed sample relationship is outside the critical
region. C. We need more information to decide.

D. There is no significant relationship

2. When the p-value is observed as 0.014, find the correct statement at the 0.01 significance level.

A. We reject the null hypothesis.

B. There is a significant relationship.

C. There is no significant relationship.

D. The observed value is inside the critical region.

3. Based on the given Z table, which standard score value is outside the critical region at the 0.05 significance level.

A. 2.99 B. 1.99 C. 0.99 D. 3.01

4. Which one is NOT a correct statement about the Type I
error?

A. It indicates the chance that a research make a decision of
“significant relationship”

when there is no relationship in the population.

B. The probability to make the Type I error is “Alpha” in
statistics

C. Significance Value shows the amount of Type I error in the
study.

D. The amount of allowed Type I error in the study is same with
Significance level.

5. Which one is a Correct statement about the Type II
error?

A. It indicates the chance that a research makes a decision of
“significant relationship”

when there is no relationship in the population.

B. It indicates the chance that a research makes a decision when
there is not enough

information about the population.

C. It indicates the chance that a research makes a decision of “no
significant relationship”

when there is a relationship in the population.

D. It indicates the chance that a research fails to make a decision
when there is enough

information about the population.

6. If there is a significant relationship at the 0.003
significance level,

A. We are not sure about the significant relationship at the 0.01
significance level. B. We are sure that there is no significant
relationship at the 0.01 significance level. C. We are sure that
there is a significant relationship at the 0.01 significance level.
D. We are sure that there is a significant relationship at the
0.001 significance level.

Answer #1

We have a one sample test for the population mean. The
significance level is a fixed value. Suppose we increase the sample
size. Assume the true mean equals the null mean.
(a) The t critical value moves closer to zero.
(b) The size of the rejection region decreases
(c) The probability of a Type I error decreases
(d) The probability of a Type I error increases

In a research study, you decided to change the significance
level from the standard 0.05 to 0.01. Explain how this would
influence: Type 1 error Type 2 error Power

1. Setting the significance level cutoff at .10
instead of the more usual .05 increases the likelihood of
a. a Type I error.
b. a Type II error.
c. failing to reject the null hypothesis.
d. accepting the null hypothesis when, in fact, it is false.
2. A Type I error is the result of
a. improper measurement techniques on the part of the
researcher.
b. failing to reject the null hypothesis when, in fact, it is
true.
c. incorrectly...

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...

When H0 is rejected, which significance level (or alpha level)
would result in the greatest chance of a type I error?
0.25
0.10
0.01
0.001

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...

The alpha level, or level of significance, (0.05, e.g.) may be
viewed as the researcher's acceptable level of
(a)Type III error
(b) Type II error
(c) Type I error

1. Insofar as we must generalize from a sample to a population,
the observed difference between the sample mean and the
hypothesized population mean a) can't be interpreted at face value.
b) might be due to variability or chance. c) might be real. d) is
described by all of the above
2. The advantage of a one-tailed test is that it increases the
likelihood of detecting a a) false null hypothesis. b) false null
hypothesis in the direction of concern....

1. A hypothesis test is conducted with a significance level of
5%. The alternative hypothesis states that more than 65% of a
population is right-handed. The p-value for the test is calculated
to be 0.03. Which of the following statements is correct?
A .We can conclude that more than 3% of the population is
right-handed.
B .We cannot conclude that more than 65% of the population is
right-handed.
C .We can conclude that more than 65% of the population is...

A significance test about a proportion is conducted using a
significance level of 0.025. The test statistic equals 1.33. The
P-value is 0.10. a. If Upper H 0 were true, for what probability
of a Type I error was the test designed? b. If this test resulted
in a decision error, what type of error was it?
a. If Upper H 0 were true, for what probability of a Type I
error was the test designed?
b. If this test...

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