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Worksheetsconceptual review for Hypothesis test
Total questions: 25
Worksheet time: 30mins
What is the 5 steps procedure for hypothesis testing?
1) State the hypotheses and identify the claim
2) Find the critical value
3) Compute the test value
4) Summarize the results
5) Make the decision (reject or not reject)
1) State the hypotheses and identify the claim
2) Compute the test value
3) Find the critical value
4) Make the decision (reject or not reject)
5) Summarize the results
1) State the hypotheses and identify the claim
2) Find the critical value
3) Compute the test value
4) Make the decision (reject or not reject)
5) Summarize the results
Which of the following is an example of a statement of a null hypothesis?
As the amount of sugar intake increases, your insulin also increases.
We have proves that Virus X is transmitted by droplets.
There is a significant difference between your grades in Math and Science.
There is no significant difference between the blood type and the weight of a person.
The null and alternative hypothesis can be the same.
Yes
No
Maybe
All the above
H0: μ = k
H1: μ ≠ k
Left-tailed test
Two-tailed test
Right-tailed test
H0: μ = k
H1: μ > k
Left-tailed test
Right-tailed test
H0: μ = k
H1: μ < k
Left-tailed test
Right-tailed test
If an individual rejects a true null hypothesis, then he/she has
Made a correct decision to reject null hypothesis
Made Type II Error
Increased the power of a statistical test
Made Type I Error
A quality control manager at the Heinz bottling factory is concerned there is a difference between the amount of product put in the (k)etchup and (m)ustard containers, even though both are supposed to be the same.
Which of the following is the correct hypotheses to test this this situation?
Ho: μk−μm=0
Ha: μk−μm>0
Ho: μk−μm=0
Ha: μk−μm<0
Ho: μk−μm=0
Ha: μk−μm=0
Ho: μk−μm=0
Ha: μk−μm=0
Ha = 18.4
Ha > 18.4
Ha < 18.4
Ha ≠ 18.4
The quality control manager will use the following hypotheses to test his concern:
Ho: μk−μm=0
Suppose the ketchup and mustard machines are filling the bottles with the same amount of product. If the results of the hypothesis test contradict this truth, which of the following must be true?
A type I error has been made
A type II error has been made
The assumptions and conditions for the test were not met
The sample that was selected was bias
Regulations from the EPA say that soil used in playgrounds should not have lead levels more than 400 ppm. Before beginning construction on a new site, a sample of soil is taken and tested. If the mean level of lead in this soil is significantly higher than 400 ppm, then construction cannot continue. Here are the hypotheses:
H0: μ = 400 ppm Ha: μ > 400 ppm
Which of the following would be a type I error?
The soil is actually safe, the sample is below 400 ppm, so construction continues
The soil is actually safe, and the sample is higher than 400 ppm, so construction stops
The soil is actually unsafe, the sample is below 400 ppm, so construction continues
The soil is actually unsafe, and the sample is higher than 400 ppm, so construction stops
Regulations from the EPA say that soil used in playgrounds should not have lead levels more than 400 ppm. Before beginning construction on a new site, a sample of soil is taken and tested. If the mean level of lead in this soil is significantly higher than 400 ppm, then construction cannot continue. Here are the hypotheses:
H0: μ = 400 ppm Ha: μ > 400 ppm
Which of the following would be a type II error?
The soil is actually safe, the sample is below 400 ppm, so construction continues
The soil is actually safe, and the sample is higher than 400 ppm, so construction stops
The soil is actually unsafe, the sample is below 400 ppm, so construction continues
The soil is actually unsafe, and the sample is higher than 400 ppm, so construction stops
A large nationwide poll recently showed an unemployment rate of 9% in the US. The mayor of a local town wonders if this is true for her town, so she plans to take a sample of residents to see if the unemployment rate is significantly different than 9% in her town. Here are the hypotheses:
H0: p = 0.09 Ha: p =0.09
Which of the following would be a type I error?
She concludes the town's unemployment rate is not 9% when it actually is.
She concludes the town's unemployment rate is not 9% when it actually is not.
She concludes the town's unemployment rate is 9% when it actually is.
She concludes the town's unemployment rate is 9% when it actually is not.
A large nationwide poll recently showed an unemployment rate of 9% in the US. The mayor of a local town wonders if this is true for her town, so she plans to take a sample of residents to see if the unemployment rate is significantly different than 9% in her town. Here are the hypotheses:
H0: p = 0.09 Ha: p =0.09
Which of the following would be a type II error?
She concludes the town's unemployment rate is not 9% when it actually is.
She concludes the town's unemployment rate is not 9% when it actually is not.
She concludes the town's unemployment rate is 9% when it actually is.
She concludes the town's unemployment rate is 9% when it actually is not.
Suppose the quality control manager knows that Type II errors are the more serious of the two errors. Which of the following actions could help reduce the probability of making a type II error?
Reduce α
Increase β
Increase the size of each of the samples.
Change the alternate hypothesis to a < or > symbol.
A Type II Error is committed when
A true null hypothesis is rejected
You accept true null hypothesis
You fail to reject null hypothesis that is really false
You reject null hypothesis
In a hypothesis test, the probability of obtaining a value of test statistic equal to or even more extreme than the value observed given the null hypothesis is true, is referred to as:
Type II Error
Statistical Power
Type I Error
The p-value
Which curve has the greater standard deviation?
It is the degree of assurance or certainty that a particular statistical statement is correct under specified conditions.
Area of Rejection
Hypothesis Testing
Level of Confidence
Alternative Hypothesis
It is the degree of uncertainty or doubtfulness about the statistical statement under the same conditions. Usually, the researcher uses a 1 to 10%.
Area of Rejection
Hypothesis Testing
Level of Significance
Alternative Hypothesis
If Ho: μ = A then _______ .
Ha: undefined = A
Ha: undefined = A
Ha: undefined ≥ A
all of the above
If Ho: μ > A then _______ .
Ha: undefined ≤ A
Ha: undefined = A
Ha: undefined ≥ A
all of the above
