Question

What is the difference between Type 1 and Type II error? How is Type I error related to α? How is Type II error related to power?

Answer #1

Please rating the answer. Thank you!

a) What is difference between a Type I error and a Type II error
in detail?

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...

Differentiate between Type I and Type II error

Distinguish between a type I error rate and a type II error rate
in quantitative research.

Differentiate between type I and type II and how each might be
controlled. Identify which error researchers primarily control for
and explain why. (2 points)

Can someone answer and explain how to do these problems?
1 Type II Error: For the roulette table in (Q6), determine which
hypothesis testing scenario has the larger Type II error
probability for a two-sided hypothesis for HO: p=18/19:
1. a) N=10,000, p=0.96 , α=0.05 OR b) N=10,000, p=0.97 ,
α=0.05.
2. a) N=10,000, p=0.96, α=0.05 OR b) N=50,000, p=0.96,
α=0.05.
3. a) N=10,000, p=0.97, α=0.05 OR b) N=10,000, p=0.97,
α=0.01.
Describe how the Type II error is influenced by...

Consider the scenario where a Type II error is more severe than
a Type I error. Pick the most reason- able value for α.
(a) 0.01 (b) 0.05 (c) 0.10 (d) 0.95

Can explain how to do these problems?
1 Type II Error: For the roulette table in (Q6), determine which
hypothesis testing scenario has the larger Type II error
probability for a two-sided hypothesis for HO: p=18/19:
1. a) N=10,000, p=0.96 , α=0.05 OR b) N=10,000, p=0.97 ,
α=0.05.
2. a) N=10,000, p=0.96, α=0.05 OR b) N=50,000, p=0.96,
α=0.05.
3. a) N=10,000, p=0.97, α=0.05 OR b) N=10,000, p=0.97, α=0.01.
Describe how the Type II error is influenced by N, p and...

For the given significance test, explain the meaning of a Type I
error, a Type II error, or a correct decision as specified. A
health insurer has determined that the "reasonable and customary"
fee for a certain medical procedure is $1200. They suspect that the
average fee charged by one particular clinic for this procedure is
higher than $1200. The insurer performs a significance test to
determine whether their suspicion is correct using α = 0.05. The
hypotheses are:
H0:...

Regarding the definition of Type I and Type II error, which of
the following is correct?
A) Type I error: Fail to reject the null hypothesis when it is
actually false.
B) Type II error: Reject the null hypothesis when it is actually
true.
C) The probability of Type I error is equal to the significance
level.
D) Neither Type I error nor Type II error can be controlled by
the experimenter.

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