Question

**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.

Answer #1

We know that,

Power = P(type I error)

Power = 1 - P(type II error)

Therefore,

**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.**

All the option are correct.

Since, type II error is power, by decreasing the type 2 error we can increase power

B. Is also correct

C. Is also correct, since power is directly proportional to type I error, option C. is also correct.

D. It is also correct, since the power can be increased by increasing the sample size

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 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.

Which one is the correct statement? Choose all applied.
a.
If you are interested in US households, proportion of 500 US
households who do not have any health insurance is a point estimate
of proportion of all US households who do not have any health
insurance.
b.
If you are interested in US households, mean income of 500 US
households is a random variable.
c.
If you are interested in US households, mean income of 500 US
households is a...

1. Which of the following can be found outside of a
cell's membrane? (Choose ALL correct answers)
A. cytoskeletal proteins
B. Extracellular matrix carbohydrates (polysaccharides)
C. extracellular side of membrane proteins
D. Extracellular matrix proteins2
2. Which types of molecules can act as signaling
molecules? (Choose ALL correct answers)
A. neurotransmitters (small molecules)
B. proteins
C. lipids
3. In order for a cell to receive a signal (such as a
hormone), what does it have to have? (Choose ALL correct...

Which of the following statement is correct? a. Type I errors
can only occur if you fail to reject H0. b. Type II errors can only
occur when you reject H0. c. When the sample size increases, both
the probability of making Type I errors and the probability of
making Type II errors can decrease. d. The level of significance is
the probability of making a Type II error.

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,...

1.Suppose we are testing a set of hypotheses using a
significance level of 0.05. For which of the following p-values
would we reject the null hypothesis? Select all that apply.
A. 0.06
B. 0.11
C. 0.02
D. 0.005
2. To increase the power of a hypothesis test, we can (select
all that apply):
A. Increase the sample size
B. Decrease the sample size
C. Increase the significance level
D. Decrease the significance level

Power is the rate of doing work. To increase Power, based on the
equation, we can increase the work and keep time constant, or keep
work constant but decrease the time over which it is done. Imagine
you are coming home after grocery shopping. You have 5 large, heavy
grocery bags. You can take them all in one trip or you can take 2
trips. Answer the following questions.
Which scenario has greater work done, carrying all the bags in...

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 â4.68â 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,...

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

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