Statistics Quiz

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Statistics Quiz

Part 1 of 16 –
 
Question 1 of 23
 1.0 Points
The data presented in the table below resulted from an experiment in which seeds of 5 different types were planted and the number of seeds that germinated within 5 weeks after planting was recorded for each seed type. At the .01 level of significance, is the proportion of seeds that germinate dependent on the seed type?
 
 
 
 
 
Seed Type
 
Observed Frequencies
 
Germinated
Failed to Germinate
1
31
7
2
57
33
3
87
60
4
52
44
5
10
19
 
 
 
 

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Question 2 of 23
 1.0 Points
A company operates four machines during three shifts each day. From production records, the data in the table below were collected. At the .05 level of significance test to determine if the number of breakdowns is independent of the shift.
 
 
Machine
Shift
A
B
C
D
1
41
20
12
16
2
31
11
9
14
3
15
17
16
10
 
 
 
 

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Part 2 of 16 –
 
Question 3 of 23
 1.0 Points
In choosing the “best-fitting” line through a set of points in linear regression, we choose the one with the:

 
 
 
 

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Question 4 of 23
 1.0 Points
A single variable X can explain a large percentage of the variation in some other variable Y when the two variables are:

 
 
 
 

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Question 5 of 23
 1.0 Points
A correlation value of zero indicates.

 
 
 
 

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Part 3 of 16 –
 
Question 6 of 23
 1.0 Points
An investor wants to compare the risks associated with two different stocks. One way to measure the risk of a given stock is to measure the variation in the stock’s daily price changes. 

In an effort to test the claim that the variance in the daily stock price changes for stock 1 is different from the variance in the daily stock price changes for stock 2, the investor obtains a random sample of 21 daily price changes for stock 1 and 21 daily price changes for stock 2. 

The summary statistics associated with these samples are: n
1 = 21, s
1 = .725, n
2 = 21, s
2 = .529. 

If you compute the test value by placing the larger variance in the numerator, at the .05 level of significance, would you conclude that the risks associated with these two stocks are different? 

 
 
 
 

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Question 7 of 23
 1.0 Points
Two independent samples of sizes n
1 = 50 and n
2 = 50 are randomly selected from two populations to test the difference between the population means, 
f$mu_{1}-mu _{2}f$ . The sampling distribution of the sample mean difference, 
f$ ar{X_{1}}- ar{X_{2}}f$ is:

 
 
 
 

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Part 4 of 16 –
 
Question 8 of 23
 1.0 Points
Suppose that the mean time for a certain car to go from 0 to 60 miles per hour was 7.7 seconds. Suppose that you want to test the claim that the average time to accelerate from 0 to 60 miles per hour is longer than 7.7 seconds. What would you use for the alternative hypothesis?

 
 
 
 

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Question 9 of 23
 1.0 Points
A two-tailed test is one where:

 
 
 
 

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Question 10 of 23
 1.0 Points
Which of the following values is not typically used for 
f$alpha f$?

 
 
 
 

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Part 5 of 16 –
 
Question 11 of 23
 1.0 Points
From a sample of 500 items, 30 were found to be defective. The point estimate of the population proportion defective will be:

 
 
 
 

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Question 12 of 23
 1.0 Points
If you are constructing a confidence interval for a single mean, the confidence interval will___________ with an increase in the sample size.

 
 
 
 

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Part 6 of 16 –
 
Question 13 of 23
 1.0 Points
The average height of flowering cherry trees in a nursery is 11 feet. If the heights are normally distributed with a standard deviation of 1.6, find the probability that a randomly selected cherry tree in this nursery is less than 13 feet tall.

 
 
 
 

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Part 7 of 16 –
 
Question 14 of 23
 1.0 Points
A researcher surveyed college students to study their opinion about the proposed change in smoking rules. The researcher asked a group of 30 students: 12 of them supported the change, 13 of them did not, and 5 had no opinion. This is not a binomial model because…

 
 
 
 

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Part 8 of 16 –
 
Question 15 of 23
 1.0 Points
If A and B are any two events with P(A) = .8 and P(B|A) = .4, then the joint probability of A and B is

 
 
 
 

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Part 9 of 16 –
 
Question 16 of 23
 3.0 Points
Accepted characters: numbers, decimal point markers (period or comma), sign indicators (-), spaces (e.g., as thousands separator, 5 000), “E” or “e” (used in scientific notation). 
NOTE: For scientific notation, a period MUST be used as the decimal point marker. 

Complex numbers should be in the form (a + bi) where “a” and “b” need to have explicitly stated values. 

For example: {1+1i} is valid whereas {1+i} is not. {0+9i} is valid whereas {9i} is not. 

A sport preference poll yielded the following data for men and women. Use a 5% significance level and test to determine if sport preference and gender are independent.

Sport Preferences of Men and Women
  Basketball Football Soccer  
Men 20 25 30 75
Women 18 12 15 45
  38 37 45 120

What is the test value for this hypothesis test?

Answer:   [removed]  Round your answer to two decimal places.

What is the critical value for this hypothesis test?  

Answer:  [removed]   Round your answer to two decimal places.

What is the conclusion for this hypothesis test?  Choose one.

1.  There 
is sufficient evidence to support the claim that one’s sport preference is dependent on one’s gender.
2. There 
is not sufficient evidence to support the claim that one’s sport preference is dependent on one’s gender.


Answer:  [removed]   Enter only a 1 or 2 for you

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