Question 1

There is a direct relationship between the power of a test and the probability of a Type II error.

Accepted Answer

A) True 
 B)False

Question 2

If a test of hypothesis has a Type I error probability of .05, this means that:

Accepted Answer

A) if the null hypothesis is true, we don't reject if 5% of the time. 
B) if the null hypothesis is true, we reject it 5% of the time. 
C) if the null hypothesis is false, we don't reject it 5% of the time. 
D) if the null hypothesis is false, we reject it 5% of the time. 
A) if the null hypothesis is true, we don't reject if 5% of the time. 
B) if the null hypothesis is true, we reject it 5% of the time. 
C) if the null hypothesis is false, we don't reject it 5% of the time. 
D) if the null hypothesis is false, we reject it 5% of the time.

Question 3

NARRBEGIN: Production Filling
Production Filling
A production filling operation has a historical standard deviation of 6 ounces. When in proper adjustment, the mean filling weight for the production process is 50 ounces. A quality control inspector periodically selects at random 36 containers and uses the sample mean filling weight to see if the process is in proper adjustment.NARREND
-{Production Filling Narrative} State the null and alternative hypotheses.

Accepted Answer

The answer of NARRBEGIN: Production Filling
Production Filling
A production filling operation...

Question 4

Explain the difference between accepting H0 and failing to reject H0.

Accepted Answer

The basis of making a decision in a hypo

Question 5

If your p-value is greater than 0.900 you should reject H0 at the 0.10 level.

Accepted Answer

A) True 
 B)False

Question 6

A Type I error occurs when we:

Accepted Answer

A) reject a false null hypothesis. 
B) reject a true null hypothesis. 
C) don't reject a false null hypothesis. 
D) don't reject a true null hypothesis. 
A) reject a false null hypothesis. 
B) reject a true null hypothesis. 
C) don't reject a false null hypothesis. 
D) don't reject a true null hypothesis.

Question 7

A spouse suspects that the average amount of money spent on Christmas gifts for immediate family members is above $1,200. The correct set of hypotheses is:

Accepted Answer

A) H0: $\mu$=1200 vs. H1: $\mu$0: $\mu$> 1200 vs. H1: $\mu$= 1200 
C) H0:$\mu$=1200 vs. H1:$\mu$> 1200 
D) H0: $\mu$ 1: $\mu$= 1200 
A) H0: $\mu$=1200 vs. H1: $\mu$0: $\mu$> 1200 vs. H1: $\mu$= 1200 
C) H0:$\mu$=1200 vs. H1:$\mu$> 1200 
D) H0: $\mu$ 1: $\mu$= 1200

Question 8

For a given level of significance, if the sample size is increased, the probability of committing a Type II error will decrease.

Accepted Answer

A) True 
 B)False

Question 9

A professor of linguistics refutes the claim that the average student spends 3 hours studying for the midterm exam. She thinks they spend more time than that. Which hypotheses are used to test the claim?

Accepted Answer

A) H0: $\mu$$\neq$ 3 vs. H1: $\mu$ >3 B) H0: $\mu$=3 vs. H1: $\mu$$\neq$ 3 C) H0:$\mu$$\neq$ 3 vs. H1: $\mu$=3 D) H0: $\mu$= 3 vs. H1: $\mu$< 3 A) H0: $\mu$$\neq$ 3 vs. H1: $\mu$ >3 B) H0: $\mu$=3 vs. H1: $\mu$$\neq$ 3 C) H0:$\mu$$\neq$ 3 vs. H1: $\mu$=3 D) H0: $\mu$= 3 vs. H1: $\mu$< 3

Question 10

Suppose that 10 observations are drawn from a normal population whose variance is 64. The observations are: 58, 62, 45, 50, 59, 65, 39, 40, 41, and 52. Test at the 10% level of significance to determine if there is enough evidence to conclude that the population mean is greater than 45.

Accepted Answer

H₀: @#LAT-DLM&= 45, H₁: @#LAT-DLM& > 45 Test statist

Question 11

The p-value criterion for hypothesis testing is to reject the null hypothesis if:

Accepted Answer

A) p-value =$\alpha$ 
B) p-value  $\alpha$ 
D) -$\alpha$ < p-value < $\alpha$ 
A) p-value =$\alpha$ 
B) p-value  $\alpha$ 
D) -$\alpha$ < p-value < $\alpha$

Question 12

For a given level of significance, if the sample size is increased, the power of the test will ____________________.

Accepted Answer

The answer of For a given level of significance, if...

Question 13

If the probability of committing a Type I error for a given test is decreased, then for a fixed sample size n, the probability of committing a Type II error will:

Accepted Answer

A) decrease. 
B) increase. 
C) stay the same. 
D) Not enough information to tell. 
A) decrease. 
B) increase. 
C) stay the same. 
D) Not enough information to tell.

Question 14

NARRBEGIN: Marathon Runners
Marathon Runners
A researcher wants to study the average miles run per day for marathon runners. In testing the hypotheses: HS1U1B10S1U1B0: $\mu$ =25 miles vs. HS1U1B11S1U1B0: $\mu$$\neq$ 25 miles, a random sample of 36 marathon runners drawn from a normal population whose standard deviation is 10, produced a mean of 22.8 miles weekly.NARREND
-{Marathon Runners Narrative} Compute the value of the test statistic and specify the rejection region associated with 5% significance level.

Accepted Answer

Test statistic: z =

Question 15

The ____________________ is a measure of the amount of statistical evidence that supports the alternative hypothesis.

Accepted Answer

The answer of The ____________________ is a measure of the...

Question 16

NARRBEGIN: LSAT Scores
LSAT Scores
The Admissions officer for the graduate programs at the University of Pennsylvania believes that the average score on the LSAT exam at his university is significantly higher than the national average of 1,300. An accepted standard deviation for LSAT scores is 125. A random sample of 25 scores had an average of 1,375.NARREND
-With the following p-values, would you reject or fail to reject the null hypothesis? Comment on the statistical significance of each result. (Assume you normally reject H0 at level 0.08.)
a.p-value = 0.0025
b.p-value = 0.0328
c.p-value = 0.0795
d.p-value = 0.1940

Accepted Answer

a.There is overwhelming evidence to reje

Question 17

If a sample size is increased at a given $\alpha$ level, the probability of committing a Type II error is increased.

Accepted Answer

A) True 
 B)False

Question 18

Reducing the probability of a Type I error also reduces the probability of a Type II error.

Accepted Answer

A) True 
 B)False

Question 19

An alternative or research hypothesis is an assertion that holds if the null hypothesis is false.

Accepted Answer

A) True 
 B)False

Question 20

NARRBEGIN: LSAT Scores
LSAT Scores
The Admissions officer for the graduate programs at the University of Pennsylvania believes that the average score on the LSAT exam at his university is significantly higher than the national average of 1,300. An accepted standard deviation for LSAT scores is 125. A random sample of 25 scores had an average of 1,375.NARREND
-{LSAT Scores Narrative} Use the p-value to test the hypotheses.

Accepted Answer

Since p-va

There is a direct relationship between the power of a test and the probability of a Type II error.

If a test of hypothesis has a Type I error probability of .05, this means that:

Explain the difference between accepting H₀ and failing to reject H₀.

If your p-value is greater than 0.900 you should reject H₀ at the 0.10 level.

A Type I error occurs when we:

A spouse suspects that the average amount of money spent on Christmas gifts for immediate family members is above $1,200. The correct set of hypotheses is:

For a given level of significance, if the sample size is increased, the probability of committing a Type II error will decrease.

A professor of linguistics refutes the claim that the average student spends 3 hours studying for the midterm exam. She thinks they spend more time than that. Which hypotheses are used to test the claim?

Suppose that 10 observations are drawn from a normal population whose variance is 64. The observations are: 58, 62, 45, 50, 59, 65, 39, 40, 41, and 52. Test at the 10% level of significance to determine if there is enough evidence to conclude that the population mean is greater than 45.

The p-value criterion for hypothesis testing is to reject the null hypothesis if:

For a given level of significance, if the sample size is increased, the power of the test will ____________________.

If the probability of committing a Type I error for a given test is decreased, then for a fixed sample size n, the probability of committing a Type II error will:

The ____________________ is a measure of the amount of statistical evidence that supports the alternative hypothesis.

If a sample size is increased at a given $\alpha$ level, the probability of committing a Type II error is increased.

Reducing the probability of a Type I error also reduces the probability of a Type II error.

An alternative or research hypothesis is an assertion that holds if the null hypothesis is false.

What Is Statistics

Graphical Descriptive Techniques I

Graphical Descriptive Techniques II

Numerical Descriptive Techniques

Data Collection and Sampling

Probability

Random Variables and Discrete Probability Distributions

Continuous Probability Distributions

Sampling Distributions

Introduction to Estimation

Inference About a Population

Inference About Comparing Two Populations

Analysis of Variance

Chi-Squared Tests Optional

Simple Linear Regression and Correlation

Multiple Regression

Filters

Exam 11: Introduction to Hypothesis Testing

There is a direct relationship between the power of a test and the probability of a Type II error.

If a test of hypothesis has a Type I error probability of .05, this means that:

Explain the difference between accepting H0 and failing to reject H0.

If your p-value is greater than 0.900 you should reject H0 at the 0.10 level.

A Type I error occurs when we:

A spouse suspects that the average amount of money spent on Christmas gifts for immediate family members is above $1,200. The correct set of hypotheses is:

For a given level of significance, if the sample size is increased, the probability of committing a Type II error will decrease.

A professor of linguistics refutes the claim that the average student spends 3 hours studying for the midterm exam. She thinks they spend more time than that. Which hypotheses are used to test the claim?

Suppose that 10 observations are drawn from a normal population whose variance is 64. The observations are: 58, 62, 45, 50, 59, 65, 39, 40, 41, and 52. Test at the 10% level of significance to determine if there is enough evidence to conclude that the population mean is greater than 45.

The p-value criterion for hypothesis testing is to reject the null hypothesis if:

For a given level of significance, if the sample size is increased, the power of the test will ____________________.

If the probability of committing a Type I error for a given test is decreased, then for a fixed sample size n, the probability of committing a Type II error will:

The ____________________ is a measure of the amount of statistical evidence that supports the alternative hypothesis.

If a sample size is increased at a given α\alphaα level, the probability of committing a Type II error is increased.

Reducing the probability of a Type I error also reduces the probability of a Type II error.

An alternative or research hypothesis is an assertion that holds if the null hypothesis is false.

What Is Statistics

Graphical Descriptive Techniques I

Graphical Descriptive Techniques II

Numerical Descriptive Techniques

Data Collection and Sampling

Probability

Random Variables and Discrete Probability Distributions

Continuous Probability Distributions

Sampling Distributions

Introduction to Estimation

Inference About a Population

Inference About Comparing Two Populations

Analysis of Variance

Chi-Squared Tests Optional

Simple Linear Regression and Correlation

Multiple Regression

Filters

Explain the difference between accepting H₀ and failing to reject H₀.

If your p-value is greater than 0.900 you should reject H₀ at the 0.10 level.

If a sample size is increased at a given $\alpha$ level, the probability of committing a Type II error is increased.