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MAT 202 Benchmark 2 Checkpoints | Score 36/40 | Straighterline

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MAT 202 Benchmark 2 Checkpoints | Score 36/40 | Straighterline

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12/8/25, 7:50 AM Benchmark 2: Checkpoints 1-2: Attempt review




Introduction to Statistics / Benchmark 2: Checkpoints 1-2 / Benchmark 2: Checkpoints 1-2




Started on Sunday, November 9, 2025, 6:10 PM
State Finished
Completed on Sunday, November 9, 2025, 6:17 PM
Time taken 6 mins 28 secs
Grade 36.00 out of 40.00 (90%)


Question 1 You're trying to improve your fitness and want to analyze your exercise frequency over
Correct the past month. How can box plots help you visualize the distribution of your weekly
4.00 points out exercise days?
of 4.00

Select one:
a. By calculating the exact average number of exercise days per week.

b. By listing each week's exercise days in a stem-and-leaf plot.

c. By displaying the frequency of each exercise day in a histogram.

d. By showing the concentration and spread of your exercise days, highlighting
any outliers.

, 12/8/25, 7:50 AM Benchmark 2: Checkpoints 1-2: Attempt review


Question 2 You're trying to decide between two different monthly bus transit passes. Pass A offers
Correct unlimited rides for a fixed monthly fee of 50 units. Pass B offers a base monthly fee of
4.00 points out 30 units, plus a 5-unit charge for every 10 rides you take. If you plan to take an
of 4.00 average of 40 rides per month, which pass is more cost-effective, and by how many
units?


Select one:
a. Pass A and Pass B cost the same.

b. Pass A is 10 units cheaper than Pass B.

c. Pass B is 20 units cheaper than Pass A.

d. Pass B is 10 units cheaper than Pass A.




Question 3 What is the primary purpose of a randomized experiment in experimental design?
Correct

4.00 points out Select one:
of 4.00
a. To validate a pre-existing hypothesis by adjusting the response variable.

b. To observe natural occurrences without any manipulation or control over
variables.

c. To collect as much data as possible from a population without any specific focus.

d. To investigate the relationship between an explanatory variable and a
response variable by manipulating the explanatory variable.

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