Question

1. Identify the Type I and Type II errors (in the context of the hypotheses)

Ho: The tornado warning is correct

HA: The tornado warning is not correct

2. Identify the Type I and Type II errors (in the context of the hypotheses)

Ho: Your head is not on fire

HA: Your head is on fire

Answer #1

For the following problems, identify the hypotheses, define Type
I and Type II errors, and discuss the consequences of each error.
(When you set up the hypotheses, consider which is the hypothesis
you are ”trying to prove”, and that is your alternative. The null
hypothesis is then the status quo.)
a. The FDA judges the safety of new drugs. When faced with a new
drug, there are two possible decisions: approve the drug or
disapprove the drug.
b. You are...

State the hypotheses. Describe a Type I and Type II error in the
context of the problem and a consequence of each. Determine which
type is most serious. State whether alpha should be set high or low
(based on whether or not you feel a Type I error is the most
serious or not). A manufacturer is testing light bulbs in the
quality assurance lab. Each bulb receives a durability score. 100
bulbs from each production run are analyzed. If...

What are the Type I and Type II errors? Discuss and compare

Type I and Type II Errors
The information for a particular area and radon testing is as
follows:
3 of 100 homes have radon gas problems
A test for radon gas is 85% accurate
The test is performed in 10,000 homes in this area
a. Using the table below, create a matrix similar to the one in
the Type I-Type II error notes.
Label the cells as true positives, false positives, false
negatives, true negatives and Type I and Type...

Given the following scenario:
a) State Ho and Ha
b) State Type I and Type II Error
c) Give the ramifications of each type of error
d) Describe which (in your opinion) is worse and why.
answer the above (a-d ) chart is optional
1. I am going scuba diving over spring break. I am trying to
decide if I should spend the money and have my regulator (what you
breathe through under water) checked out for possible defects and...

Provide the Type I and Type II errors.
Claim: The proportion of smokers who experience sleeping
difficulty is .34.

Provide the Type I and Type II errors.
Claim: The proportion of car crashes occurring less than a mile
from home is .23.

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.

Describe type I and type II errors for a hypothesis test of the
indicated claim. A shoe store claims that at least 80% of its new
customers will return to buy their next pair of shoes.
Describe the type I error. Choose the correct answer below:
a) A type I error will occur when the actual proportion of new
customers who return to buy their next pair of shoes is no more
than 0.80 but you reject H0: p≤0.80.
b)...

Define the parameter of interest, the appropriate null and
alternative hypotheses, and explain what Type I and Type II errors
mean in the context of the situation.
To curb CO2 emissions, the government subsidized the purchase of
green vehicles. Now, a study wants to investigate whether the
average CO2 emissions from cars purchased last year has dropped
from the 160 g/km of 5 years.
σ known CI and Z test

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