Stats Short Quiz
Chapter 2 Analytics
QUESTION 1
1.
When summarizing two categorical columns of data, which of the following methods is the best for displaying the data?
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A. |
contingency table |
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B. |
bar chart |
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C. |
pie chart |
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D. |
histogram |
0.5 points
QUESTION 2
1. One of the developing countries is experiencing a baby boom, with the number of births rising for the fifth year in a row, according to a BBC News report. Which of the following is best for displaying this data?
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A. |
A bar chart |
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B. |
A pie chart |
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C. |
A histogram |
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D. |
A time-series plot |
0.5 points
QUESTION 3
1. Which of the following is appropriate for displaying data collected on the different brands of cars students at a major university drive?
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A. |
A bar chart |
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B. |
A contingency table |
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C. |
A histogram |
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D. |
A scatter plot |
0.5 points
QUESTION 4
1. The dataset CandidateAssessment.csv can be downloaded from here:
Which of the following table is a correct summary for the column "Competence Rating"
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A. |
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B. |
NOT THE ANSWER |
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C. |
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D. |
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0.5 points
QUESTION 5
1. Question 4 continues. Which of the following statements is the most suitable for the type of data for the column "Competence Rating"?
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A. |
Continuous data |
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B. |
Categorical data |
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C. |
Ordinal data |
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D. |
ratio-scale data |
NO0.5 points
QUESTION 6
1. Question 4 continues. Which of the following table correctly summarizes the relative frequency distribution for the column "Competence Rating"?
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A. |
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B. |
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C. |
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D. |
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0.5 points
QUESTION 7
1. Question 4 continues. By presenting the scatter plot for x=Age Rater, y=Salary, which of the following statements best describes the relationship between age and salary?
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Salary is strongly related to age, the higher the age, the higher the salary. |
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Salary is strongly related to age, the higher the age, the lower the salary. |
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Salary is weakly related to age, there is no much relationship. |
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The scatter plot shows no information on the relationship between age and salary. |
0.5 points
QUESTION 8
1. Question 4 continues. By presenting the histogram for the “Salary” column with breaks=20 in the hist command, which of the following conclusion is the most appropriate?
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A. |
The chance of getting salary higher than 35 is larger than the chance of getting salary lower than 35. |
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B. |
The chance of getting salary lower than 35 is larger than the chance of getting salary higher than 35. |
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C. |
The chance of getting salary higher than 35 is equal to the chance of getting salary lower than 35. |
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D. |
The chance of getting salary higher than 35 is half the chance of getting salary lower than 35. |
0.5 points
QUESTION 9
1. Question 4 continues. By presenting the side-by-side (1 by 2) histograms with breaks=20 for the salary data for male candidates and for female candidates, which of the following conclusions is the most appropriate?
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A. |
Male candidates have a bigger chance to get salary higher than 40. |
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B. |
Female candidates have a bigger chance to get salary higher than 40. |
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C. |
Male and female candidates have the same chance to get salary higher than 40. |
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D. |
The data cannot provide the conclusions in A, or B, or C above. |
0.5 points
QUESTION 10
1. Question 4 continues. By presenting the contingency table for x="Department" and y="Gender-Candidate", which of the following statements is true?
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A. |
There are more male candidates from Biology than from Chemistry. |
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B. |
There are more male candidates from Biology than from Physics. |
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C. |
There are more female candidates from Physics than from Chemistry. |
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D. |
There are equal number of male candidates and female candidates from all three departments. |
0.5 points