Question

Which of the following is correct about the power of the test? Check all that apply. a. As alpha increases, power decreases. b. As standard error decreases, power increases. c. As Type I error increases, power increases. d. As effect size increases, power increases. e. As sample size increases, power increases. f. As sample size increases, power is unaffected. g. As Type II error decreases, power decreases.

Answer #1

The correct options are: **b., c., d., and e.**

Power increases with increase in sample size and vice versa.

Power decreases with increase in standard error and vice versa. (since sample size and std. error are inversely related).

Power decreases with increase in type II error and vice versa.(So, as Type II error decreases, power increases).

Power increases with increases in type I error(alpha) and vice versa.

Power increases with increase in significance level and vice versa. (since alpha and significance level are the same).

Power increases with increase in effect size and vice versa.

Which of the following statements are TRUE
Note that there may be more than one correct answer; select all
that are true.
a)
The power of a test is only influenced by the hypothesized
parameter value, and not the true parameter value.
b)
For a two-sided alternative hypothesis, as the difference
between the true parameter value and the hypothesized parameter
value increases, the probability of a Type I error increases.
c)
It is desirable to have tests with high power,...

Which of the following statements about relational power are
correct? Check all that apply.
People retain their relational power when they are flexible.
People who use power effectively are generally not
empathetic.
The people closest to you will be in your core network.
Different types of power are more or less effective in different
environmental situations.

Statistical power analysis seeks to optimize the size of the
___________.
difference
sample
population
correlation
Statistical power is the likelihood that an effect will be
detected in the sample when one ____________.
is hypothesized to exist
has been found in previous research
really exists
exists in a previous sample of the same population
The probability of failing to detect an effect when one exists
is known as a _______.
Type I error
Type II error
Power
Standardized error
Which of...

Which of the following statements is (are) not true?
A. The power of the test decreases as the level of
significance decreases.
B. The probability of making a Type II error
increase as the probability of making a Type I error
decreases.
C. The probability of making a Type II error and
the level of significance are the same.
D. All of the above statements are not true
In a criminal trial, a Type II error is made when:
A....

Which one is the correct statement? Choose all
applied.
A. We can increase the power of a test by decreasing type 2
error.
B. power of a test = 1- type 2 error.
C. We can increase the power of a test by increasing type 1
error.
D. We can increase the power of a test by increasing the size of
random sample.

A hypothesis test involves a comparison of which two
elements?
a. research results from a population and a hypothesis
about a sample.
b. research results from a sample and a hypothesis about a
population
c. research results from a population and a hypothesis about the
population.
d. research results from a sample and a hypothesis about the
sample.
How does sample variance influence the estimated
standard error and measures of effect size such as r^2 and Cohen
d?
a. larger...

If you flip a fair coin, the probability that the result is
heads will be 0.50. A given coin is tested for fairness using a
hypothesis test of H0:p=0.50H0:p=0.50 versus
HA:p≠0.50HA:p≠0.50.
The given coin is flipped 240 times, and comes up heads 143
times. Assume this can be treated as a Simple Random Sample.
The test statistic for this sample is z=
The P-value for this sample is
If we change the significance level of a hypothesis test from 5%...

If the conclusion of a test is " reject H0" with 0.05 alpha,
then which one is the correct statement? (choose all that
apply)
a.
Type1 = 0.05 and Type2 = 0
b.
Type1 = 0 and Type2 = 0
c.
Type1 = 0 and Type2 = 0.05
d.
Type1 = 0 and Type2 = unknown amounts
If the conclusion of a test is " do not reject H0" with 0.05
alpha, then which one is the correct statement?
a....

Which of the following sentences best characterizes the
relationship among Type 1 error, Type II error, Sample Size, and
the power of hypothesis testing?
hypothesis testing does not rely on sample size, Type I or Type
II error
Type I error is inflated as Type II error decreases, neither is
related to sample size
When the sample size is small, there is a higher chance of
committing a Type II error and decreased power to reject the null
hypothesis
When...

Which of the following numbers cannot represent
a probability? Check all that apply.
A. 0.865
B. 193%
C. 1/66
D. 0
E. 1
F. -0.43
G. 66%

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