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Bootcamp Final Exam

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Question 1 of 25

1. Question

When measuring usability:

It’s important to measure both attitudes and actions
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It’s always most important to measure actions
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It’s always most important to measure attitudes
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You must measure loyalty
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Question 2 of 25

2. Question

The key objective usability metrics at the task level are:

Completion rates and times
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Ratings of ease and confidence
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Number of times participants stop thinking aloud and number of requests for help
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Ratings of ease and usefulness
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Question 3 of 25

3. Question

The most important subjective usability metric to capture at the task level is:

The Single Ease Question (SEQ)
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Successful task completion
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How much time it took to complete the task
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A likeability rating
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Question 4 of 25

4. Question

A common way to assess customer loyalty is with:

The Net Promoter Score (NPS)
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The System Usability Scale (SUS)
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The Usability Metric for User Experience (UMUX)
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The Microsoft Desirability Toolkit
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Question 5 of 25

5. Question

Which questionnaire has items to collect ratings of perceived ease-of-use and perceived usefulness (features meet needs)?

The UX-Lite
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The System Usability Scale (SUS)
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The Net Promoter Score (NPS)
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The NASA TLX
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Question 6 of 25

6. Question

Which of the following is an example of discrete binomial data?

Percentage of users successfully making an online purchase
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The 7-point Single Ease Question
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Task completion time
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The System Usability Scale
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Question 7 of 25

7. Question

Which of the following is the best method for evaluating whether users can find a needed function?

Tree Test
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Card Sort
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Survey
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Focus Group
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Question 8 of 25

8. Question

Which participant characteristic tends to have the biggest impact on UX metrics?

Prior experience
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Age
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Gender
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Number of children
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Question 9 of 25

9. Question

When working with panels:

Avoid changing panels when making comparisons over time
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Don’t worry about cheaters or speeders because they are very rare (< 1%)
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Feel free to change panels because UX metrics from different panels vary < 1%
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Don’t work with panels because the incidence of cheating/speeding is almost 90%
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Question 10 of 25

10. Question

In a top task survey, you should:

Randomize the order of presentation of tasks
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Ask participants to list their single most common task
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Have participants rank all of the tasks in order of importance
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Have participants rank all of the tasks by their frequency of use
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Question 11 of 25

11. Question

For unmoderated usability testing, two ways to validate successful task completion are:

Multiple choice questions or url matching
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Multiple choice questions or post-completion interviews with participants
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Post-completion interviews with participants or url matching
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It isn't possible to validate successful task completion in unmoderated usability testing
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Question 12 of 25

12. Question

The fundamental metrics for individual usability problems are:

Frequency and severity
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Frequency and learnability
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Learnability and severity
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Learnability, frequency, and severity
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Question 13 of 25

13. Question

All other things being equal, which data set will have a wider confidence interval?

Sample Size (n) = 15
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Sample Size (n) = 150
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Question 14 of 25

14. Question

All other things being equal, which analysis will produce a wider confidence interval?

95% Confidence Level
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85% Confidence Level
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Question 15 of 25

15. Question

The width of a confidence interval is:

Two margins of error
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Two standard errors
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Four margins of error
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One standard deviation
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Question 16 of 25

16. Question

Which of the following statements is true?

The type of data matters when selecting a confidence interval method
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The type of data does not matter when computing confidence intervals
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Rating scale data requires log transformation before it can be analyzed
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Confidence intervals for discrete-binary data are based on the geometric mean
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Question 17 of 25

17. Question

You get a p-value of .01 and conclude the designs are different. What error can you make?

Type I
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Type II
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Both Type I and Type II
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Neither Type I nor Type II
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Question 18 of 25

18. Question

Which of the following is true about formal hypothesis testing?

There are two ways to be right and two ways to be wrong
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Hypothesis testing is infallible
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A Type II error is always worse than a Type I error
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The worst error is the Type V error
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Question 19 of 25

19. Question

You want to compare SUS (System Usability Scale) data you collected from 10 participants who used the current design and 9 other participants who used a new design. Which type of test should you run?

Between-subjects t-test
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Test against a binary benchmark
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Within-subjects t-test
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N-1 Two Proportion Z Test
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Question 20 of 25

20. Question

You’ve run a usability study of your online retail site in which 13/15 participants successfully completed an online purchase. In a study of the same task with a competitor’s website, there were 5 successes out of 9 participants. You want to know if the success rate with your design is significantly better than with the competitive design. What type of test should you use to analyze the data?

A/B (N-1 Two-Proportion) Test
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Between-subjects t-test
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Within-subjects t-test
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Binomial test against a benchmark value
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Question 21 of 25

21. Question

All other things being equal, which decision will require a larger sample size?

Testing with 99% confidence (p < .01)
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Testing with 95% confidence (p < .05)
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Question 22 of 25

22. Question

All other things being equal, which decision will require a larger sample size?

Set power to 80%
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Set power to 50%
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Question 23 of 25

23. Question

All other things being equal, which decision will require a larger sample size?

Need compelling evidence of a small difference
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Need compelling evidence of a large difference
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Question 24 of 25

24. Question

The “20/20” rule of precision refers to the observation that:

The typical margin of error with n=20 is about 20%
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The lower the p value, the harder it is to see significant results
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When you set power to 50%, the associated value of Z disappears from sample size formulas
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If you don't look for problems, you'll never find them
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Question 25 of 25

25. Question

To cut a margin of error approximately in half, you need to:

Quadruple the sample size
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Double the sample size
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Cut the sample size in half
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Multiply the sample size by ten
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