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Question 1 Express the null hypothesis and the alternative hypothesis for the following claim in symbolic form. Use the correct symbol for the indicated parameter.

Question 1

Express the null hypothesis and the alternative hypothesis for the following claim in symbolic form. Use the correct symbolfor the indicated parameter. The owner of a football team claims that the average attendance at games is more than 63,500 and he is therefore justified in moving the team to a city with a larger stadium.

Question 1 options:

H0: < 63,500 H1: 63,500
H0: > 63,500 H1: 63,500
H0: = 63,500 H1: > 63,500
H0: = 63,500 H1: < 63,500

Question 2

Express the null hypothesis and the alternative hypothesis of the following claim in symbolic form. Use the correct symbolfor the indicated parameter. Carter Motor Company claims that its new sedan, the Libra, will average less than 25 miles per gallon in the city. Use , the true average mileage of the Libra.

Question 2 options:

H0: = 25 H1: < 25
H0: = 25 H1: > 25
H0: > 25 H1: 25
H0: < 25 H1: 25

Question 3

Suppose we want to test the claim that the majority (in other words, more than half) of adults are in favor of raising the voting age to 21. Is the hypothesis test left-tailed, right-tailed, or two-tailed?

Question 3 options:

Two-tailed Test
Left-tailed Test
Right-tailed Test

Question 4

Through a sample of the first 49 Super Bowls, 28 of them were won by teams in the National Football Conference (NFC). Use an =0.05 to test the claim that the probability of a NFC team winning the Super Bowl is greater than 50%.

State the null and alternative hypotheses.

Question 4 options:

H0:p=0.50
H0:p0.50
H0:p=0.50
H0:p=0.50

Question 5(1 point)

Through a sample of the first 49 Super Bowls, 28 of them were won by teams in the National Football Conference (NFC). Use an =0.05 to test the claim that the probability of a NFC team winning the Super Bowl is greater than 50%.

Find the test statistic, z, for the hypothesis test. Round to 2 decimal places.

Question 5 options:

Question 6

Through a sample of the first 49 Super Bowls, 28 of them were won by teams in the National Football Conference (NFC). Use an =0.05 to test the claim that the probability of a NFC team winning the Super Bowl is greater than 50%.

Find the p-value for the hypothesis test. Round to 3 decimal places and put a 0 before the decimal. For example, 0.234.

Question 6 options:

Question 7

Through a sample of the first 49 Super Bowls, 28 of them were won by teams in the National Football Conference (NFC). Use an =0.05 to test the claim that the probability of a NFC team winning the Super Bowl is greater than 50%.

Using the p-value method, state the decision for the hypothesis test.

Question 7 options:

Reject the null hypothesis.
Fail to reject the null hypothesis.

Question 8(1 point)

Through a sample of the first 49 Super Bowls, 28 of them were won by teams in the National Football Conference (NFC). Use an =0.05 to test the claim that the probability of a NFC team winning the Super Bowl is greater than 50%.

An automobile manufacturer claims that their hybrid car has a mean gas mileage greater than 50 miles per gallon (mpg). A random sample of 30 of the new hybrid cars has a mean of 47 mpg and a sample standard deviation of 5.5 mpg. Test the manufacturer's claim at the 0.01 level of significance.

State the null and alternative hypotheses.

Question 9 options:

H0:=50
H0:=50
H0:50
H0:=50

Question 10

An automobile manufacturer claims that their hybrid car has a mean gas mileage greater than 50 miles per gallon (mpg). A random sample of 30 of the new hybrid cars has a mean of 47 mpg and a sample standard deviation of 5.5 mpg. Test the manufacturer's claim at the 0.01 level of significance.

Find the test statistic, t, for the hypothesis test. Round to 2 decimal places.

Question 10 options:

Question 11

An automobile manufacturer claims that their hybrid car has a mean gas mileage greater than 50 miles per gallon (mpg). A random sample of 30 of the new hybrid cars has a mean of 47 mpg and a sample standard deviation of 5.5 mpg. Test the manufacturer's claim at the 0.01 level of significance.

Find the p-value for the hypothesis test. Round to 3 decimal places and put a 0 before the decimal. For example, 0.234.

Question 11 options:

Question 12

An automobile manufacturer claims that their hybrid car has a mean gas mileage greater than 50 miles per gallon (mpg). A random sample of 30 of the new hybrid cars has a mean of 47 mpg and a sample standard deviation of 5.5 mpg. Test the manufacturer's claim at the 0.01 level of significance.

Using the p-value method, state the decision for the hypothesis test.

Question 12 options:

Reject the null hypothesis.
Fail to reject the null hypothesis.

Question 13(1 point)

An automobile manufacturer claims that their hybrid car has a mean gas mileage greater than 50 miles per gallon (mpg). A random sample of 30 of the new hybrid cars has a mean of 47 mpg and a sample standard deviation of 5.5 mpg. Test the manufacturer's claim at the 0.01 level of significance.

A supplier of flash drives claims that less than 1% of the drives are defective. In a random sample of 600 drives, it is found that 3% are defective, but the supplier says that this is only a sample fluctuation. Test the supplier's claim at the 0.01 level of significance.

State the null and alternative hypotheses.

Question 14 options:

H0:p=0.01
H0:p=0.01
H0:p0.01
H0:p=0.01

Question 15(1 point)

A supplier of flash drives claims that less than 1% of the drives are defective. In a random sample of 600 drives, it is found that 3% are defective, but the supplier says that this is only a sample fluctuation. Test the supplier's claim at the 0.01 level of significance.

Find the test statistic, z, for the hypothesis test. Round to 2 decimal places.

Question 15 options:

Question 16

A supplier of flash drives claims that less than 1% of the drives are defective. In a random sample of 600 drives, it is found that 3% are defective, but the supplier says that this is only a sample fluctuation. Test the supplier's claim at the 0.01 level of significance.

Find the p-value for the hypothesis test. Round to 3 decimal places and put a 0 before the decimal. For example, 0.234.

Question 16 options:

Question 17

A supplier of flash drives claims that less than 1% of the drives are defective. In a random sample of 600 drives, it is found that 3% are defective, but the supplier says that this is only a sample fluctuation. Test the supplier's claim at the 0.01 level of significance.

Using the p-value method, state the decision for the hypothesis test.

Question 17 options:

Reject the null hypothesis.
Fail to reject the null hypothesis.

Question 18(1 point)

A supplier of flash drives claims that less than 1% of the drives are defective. In a random sample of 600 drives, it is found that 3% are defective, but the supplier says that this is only a sample fluctuation. Test the supplier's claim at the 0.01 level of significance.

Question 19

A manufacturer of smoke detector batteries claims that the batteries have a mean life equal to 48 months. A random sample of 50 batteries is found to have a mean life of 46 months and a sample standard deviation of 6 months. Use this information to test the claim at a 0.05 level of significance.

State the null and alternative hypotheses.

Question 19 options:

H0:=48
H0:48
H0:=48
H0:=48

Question 20

A manufacturer of smoke detector batteries claims that the batteries have a mean life equal to 48 months. A random sample of 50 batteries is found to have a mean life of 46 months and a sample standard deviation of 6 months. Use this information to test the claim at a 0.05 level of significance.

Find the test statistic, t, for the hypothesis test. Round to 2 decimal places.

Question 20 options:

Question 21

A manufacturer of smoke detector batteries claims that the batteries have a mean life equal to 48 months. A random sample of 50 batteries is found to have a mean life of 46 months and a sample standard deviation of 6 months. Use this information to test the claim at a 0.05 level of significance.

Find the p-value for the hypothesis test. Round to 3 decimal places and put a 0 before the decimal. For example, 0.234.

Question 21 options:

Question 22

A manufacturer of smoke detector batteries claims that the batteries have a mean life equal to 48 months. A random sample of 50 batteries is found to have a mean life of 46 months and a sample standard deviation of 6 months. Use this information to test the claim at a 0.05 level of significance.

Using the p-value method, state the decision for the hypothesis test.

Question 22 options:

Reject the null hypothesis.
Fail to reject the null hypothesis.

Question 23(1 point)

A manufacturer of smoke detector batteries claims that the batteries have a mean life equal to 48 months. A random sample of 50 batteries is found to have a mean life of 46 months and a sample standard deviation of 6 months. Use this information to test the claim at a 0.05 level of significance.

Question 24

(LO15) A network administrator claims that employees of her company use a particular web browser for more than 75% of their online activity. State thealternative hypotheses.

Question 24 options:

H1:p<0.75
H1:p=0.75
H1:p>0.75
H1:p0.75

Question 25(1 point)

(LO15) A weatherman claims that the mean temperature during July in Daytona Beach is less than 94 degrees. State thealternative hypotheses.

Question 25 options:

H1:<94
H1:=94
H1:>94
H1:94

Question 26

(LO15) A researcher claims that more than 60% of drivers who use GPS are led to the wrong destination. A random sample of 140 drivers showed that 96 of them were led to the wrong destination. Calculate thetest statistic.

Question 26 options:

-2.19
-2.07
2.07
2.19

Question 27(1 point)

(LO16) The linear correlation coefficient for a sample of bivariate data of size n = 50 is found to be r = 0.932. Which of the following conclusions can be drawn?

Question 27 options:

There is no significant correlation.
There is a negative correlation between the variables.
There is a positive correlation between the variables.
Without the linear regression model, no conclusions can be drawn.

Question 28

(LO16) A correlation study was based on x = number of servings of hot chocolate and y = number of crimes committed on certain days in a variety of cities. With n = 90, the correlation coefficient was found to be r = - 0.987. Which statement best describes the situation?

Question 28 options:

There is statistical evidence that increased hot chocolate consumption causes a decrease in crime.
There is statistical evidence that increased hot chocolate consumption causes an increase in crime.
There is statistical evidence that an increase in hot chocolate consumption is accompanied by an increase in crime.
There is statistical evidence that an increase in hot chocolate consumption is accompanied by a decrease in crime.

Question 29

(LO17) It was found that the relationship between the age and weight of calf can be modeled by the linear regression equation :y=38.0+6.34x ,where x=age in weeks and y=weight in kg. What is the slope and what does the slope mean in the context of this problem?

Question 29 options:

Slope=6.34;

For each additional week, the calf's weight decreases by 6.34kg.

Slope=6.34;

For each additional week, the calf's weight increases by 6.34kg.

Slope=38.0;

For each additional week, the calf's weight decreases by 38.0kg.

Slope=38.0;

For each additional week, the calf's weight increases by 38.0kg.

Question 30

(LO17) The relationship between x = weight of an automobile in pounds and y = fuel efficiency in miles per gallon (mpg) can be modeled by the linear regression equation :y=440.588x. What is the slope and what does the slope mean in the context of this problem?

Question 30 options:

Slope= 44;

For each additional pound of the car's weight, the fuel efficiency increases by 44 mpg.

Slope= 44;

For each additional pound of the car's weight, the fuel efficiency decreases by 44 mpg.

Slope= -0.588;

For each additional pound of the car's weight, the fuel efficiency increases by 0.588 mpg.

Slope= -0.588;

For each additional pound of the car's weight, the fuel efficiency decreases by 0.588 mpg.

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