Question: 1. Important differences may not be statistically significant if a small sample is used. True False 2.If results are not practically significant, then they are

1.

Important differences may not be statistically significant if a small sample is used.

True

False

2.If results are not practically significant, then they are also not statistically significant.

True

False

3.

Select all of the alternative hypotheses that don't allow you to determine statistical significance at = 0.05 using a 95% confidence interval.

Ha: 30

Ha: 30

Not applicable, because you cannot use a confidence interval to determine statistical significance.

4.

Which of the following confidence levels and significance levels are appropriate for using a confidence interval approach to hypothesis testing?

Confidence Level = 99% and = 0.1

Confidence Level = 90% and = 0.1

Confidence Level = 95% and = 0.5

Confidence Level = 95% and = 0.01

5.

Two studies were done on the same set of data, where study A was a two-sided test and study B was a one-sided test. The p-value of the test corresponding to study A was found to be 0.040. What is the p-value for study II?

The p-value must be 0.020.

The p-value must be 0.080.

The p-value must be 0.040.

The p-value cannot be determined with the given information.

Use this scenario for the next five questions.

A laptop company, ThinClick, claims to have the lightest laptop out on the market, the Litetop, with a reported weight of 2 lbs. A laptop review company wasn't sure about this claim and thinks it is different, so they took a sample of 260 laptops and calculated a mean weight of 2.04 lbs.

6.

What is the parameter of interest?

the weight of all Litetops

the mean weight of all Litetops

the mean weight of all 260 Litetops

the mean number of Litetops that weight 2 lbs.

7.

What are the appropriate null and alternative hypotheses?

H0:= 2 vs. Ha: 2

H0:= 2 vs. Ha:< 2

H0:x= 2 vs. Ha:x 2

8.

Which of the following shows the conditions that must be met by one-sample t procedures?

randomized experiment and n > 30

Normality of the population or n > 30, and a randomized experiment

Normality of the population or large sample size, and randomness in the data collection

Normality of the sample or large sample size

9.

Assume that this study is a two-sided test with the null and alternative hypotheses being H0: = 2 versus Ha: 2. A 96% confidence interval was calculated to be (1.99 lbs, 2.05 lbs) with an = 0.04. What should the conclusion be?

Fail to reject H0since 2 is outside the given interval.

Reject H0since 2 is inside the given interval.

Fail to reject H0since 2 is inside the given interval.

Reject H0since 2 is outside the given interval.

10.Assume that the p-value was calculated to be 0.07. How would you interpret the p-value in context?

The probability of obtaining a sample mean Litetop weight equal to the true population mean weight of Litetops is equal to 0.07.

The probability of rejecting the null hypothesis is 0.07.

The probability of obtaining a sample mean of Litetop weights as extreme or more extreme than 2.04 lbs assuming the population mean is 2 lbs is equal to 0.07.

The probability of obtaining a sample mean of Litetop weights exactly equal to the previous sample mean of 2.04 lbs in a new sample is equal to 0.07

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