Question 1 (1 point)
Saved
It is reported in USA Today that the average flight cost
nationwide is $327.31. You have never paid close to that amount and
you want to perform a hypothesis test that the true average is
actually different from $327.31. What are the appropriate
hypotheses for this test?
Question 1 options:

1)

H_{O}: μ ≤ 327.31
H_{A}: μ > 327.31 


2)

H_{O}: μ ≥ 327.31
H_{A}: μ < 327.31 


3)

H_{O}: μ ≠ 327.31
H_{A}: μ = 327.31 


4)

H_{O}: μ = 327.31
H_{A}: μ ≠ 327.31 


5)

H_{O}: μ > 327.31
H_{A}: μ ≤ 327.31 

Question 2 (1 point)
Consumers Energy states that the average electric bill across
the state is $55.458. You want to test the claim that the average
bill amount is actually less than $55.458. The hypotheses for this
situation are as follows: Null Hypothesis: μ ≥ 55.458, Alternative
Hypothesis: μ < 55.458. A random sample of 36 customer's bills
shows an average cost of $56.083 with a standard deviation of
$8.8583. What is the test statistic and pvalue for this test?
Question 2 options:

1)

Test Statistic: 0.423, PValue: 0.3373 


2)

Test Statistic: 0.423, PValue: 0.3373 


3)

Test Statistic: 0.423, PValue: 1.3254 


4)

Test Statistic: 0.423, PValue: 0.6627 


5)

Test Statistic: 0.423, PValue: 0.6627 

Question 3 (1 point)
Suppose the national average dollar amount for an automobile
insurance claim is $585.918. You work for an agency in Michigan and
you are interested in whether or not the state average is greater
than the national average. The hypotheses for this scenario are as
follows: Null Hypothesis: μ ≤ 585.918, Alternative Hypothesis: μ
> 585.918. A random sample of 81 claims shows an average amount
of $580.593 with a standard deviation of $94.6063. What is the test
statistic and pvalue for this test?
Question 3 options:

1)

Test Statistic: 0.507, PValue: 0.3069 


2)

Test Statistic: 0.507, PValue: 0.6931 


3)

Test Statistic: 0.507, PValue: 0.3069 


4)

Test Statistic: 0.507, PValue: 1.3862 


5)

Test Statistic: 0.507, PValue: 0.6931 

Question 4 (1 point)
A medical researcher wants to determine if the average hospital
stay of patients that undergo a certain procedure is greater than
5.5 days. The hypotheses for this scenario are as follows: Null
Hypothesis: μ ≤ 5.5, Alternative Hypothesis: μ > 5.5. If the
researcher takes a random sample of patients and calculates a
pvalue of 0.0289 based on the data, what is the appropriate
conclusion? Conclude at the 5% level of significance.
Question 4 options:

1)

The true average hospital stay of patients is significantly
shorter than 5.5 days. 


2)

The true average hospital stay of patients is significantly
different from 5.5 days. 


3)

We did not find enough evidence to say the true average
hospital stay of patients is longer than 5.5 days. 


4)

The true average hospital stay of patients is significantly
longer than 5.5 days. 


5)

The true average hospital stay of patients is shorter than or
equal to 5.5 days. 

Question 5 (1 point)
Consumers Energy states that the average electric bill across
the state is $123.29. You want to test the claim that the average
bill amount is actually different from $123.29. The hypotheses for
this situation are as follows: Null Hypothesis: μ = 123.29,
Alternative Hypothesis: μ ≠ 123.29. You complete a randomized
survey throughout the state and perform a onesample hypothesis
test for the mean, which results in a pvalue of 0.3178. What is
the appropriate conclusion? Conclude at the 5% level of
significance.
Question 5 options:

1)

We did not find enough evidence to say the true average
electric bill is greater than $123.29. 


2)

The true average electric bill is significantly different from
$123.29. 


3)

The true average electric bill is equal to $123.29. 


4)

We did not find enough evidence to say the true average
electric bill is less than $123.29. 


5)

We did not find enough evidence to say a significant difference
exists between the true average electric bill and $123.29. 

Question 6 (1 point)
Do sit down restaurant franchises and fast food franchises
differ significantly in stock price? Specifically, is the average
stock price for sitdown restaurants different from the average
stock price for fast food restaurants? If sit down restaurants are
considered group 1 and fast food restaurants are group 2, what are
the hypotheses of this scenario?
Question 6 options:

1)

H_{O}: μ_{1} > μ_{2}
H_{A}: μ_{1} ≤ μ_{2} 


2)

H_{O}: μ_{1} = μ_{2}
H_{A}: μ_{1} ≠ μ_{2} 


3)

H_{O}: μ_{1} ≥ μ_{2}
H_{A}: μ_{1} < μ_{2} 


4)

H_{O}: μ_{1} ≠ μ_{2}
H_{A}: μ_{1} = μ_{2} 


5)

H_{O}: μ_{1} ≤ μ_{2}
H_{A}: μ_{1} > μ_{2} 
