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Week 12 · Quiz

Week 12 Quiz

Introduction to Statistics Free sample edition
The student view of the 10-question quiz: each question and its options as they appear in Canvas. The answer key and the feedback ship only inside the course's .imscc (Classic QTI); they are not shown on this public page.
  1. Of the 333 penguins in the Palmer field study with a recorded sex, 165 are female and 168 are male, so p̂ = 0.4955. Which fact satisfies the large-counts condition for a one-proportion z interval for p, the share of females among all penguins like these?

    Select one.

    • The sample has 333 penguins, well above 30.
    • The sample proportion 0.4955 is close to the even split of 0.5.
    • There are 165 females and 168 males, both at least 10.
    • The penguins were studied in a field study.
  2. Of the 333 penguins in the Palmer field study with a recorded sex, 165 are female and 168 are male, so p̂ = 0.4955. The standard error of p̂ is SE = 0.0274, and the critical value for 95% is z* = 1.960. What is the margin of error? Enter it as a proportion rounded to four decimals, such as 0.1234.

    Type a short answer.

  3. Of the 333 penguins in the Palmer field study with a recorded sex, 165 are female and 168 are male, so p̂ = 0.4955. With SE = 0.0274 and z* = 1.960 for 95%, which is the 95% one-proportion z interval for p?

    Select one.

    • 0.4681 to 0.5229
    • 0.4418 to 0.5492
    • 0.4940 to 0.4970
    • 0.4504 to 0.5406
  4. The 95% one-proportion z interval for the share of female penguins runs from 0.4418 to 0.5492. Which sentence interprets it correctly?

    Select one.

    • There is a 95% probability that the population proportion lies between 0.4418 and 0.5492.
    • About 95% of penguins are between 0.4418 and 0.5492 female.
    • About 95% of sample proportions will fall between 0.4418 and 0.5492.
    • We are 95% confident that the population proportion of female penguins is between 0.4418 and 0.5492.
  5. True or false: because 0.5 lies inside the 95% interval 0.4418 to 0.5492, the data prove that exactly half of the penguins in the population are female.

    True or false.

    • True
    • False
  6. For a poll with a share near 0.5, the 95% margin of error is 0.098 with 100 people. Using the course's poll ladder, what is the 95% margin of error with 400 people?

    Select one.

    • 0.049
    • 0.0245
    • 0.0693
    • 0.0196
  7. A pollster has no earlier estimate of the share and wants a 95% margin of error of plus or minus 3 percentage points. Using the conservative p̂ = 0.5 and z* = 1.96, how many people should the poll include? Enter a whole number only.

    Type a short answer.

  8. A news poll reports that 52% of residents support a new bus line, with a margin of error of plus or minus 3 percentage points. Which range does that margin describe?

    Select one.

    • 49% to 55%
    • 50.44% to 53.56%
    • 51.97% to 52.03%
    • 3% to 55%
  9. A news site's online poll drew 10,000 readers who chose to click an answer, so its conservative 95% margin of error is a little under 1 percentage point. Which statement is correct?

    Select one.

    • The margin of error already accounts for the many readers who saw the poll but chose not to click.
    • The poll is accurate to within about 1 percentage point of the true share.
    • The margin covers sampling variability only, so voluntary-response bias can make the poll miss by much more.
    • A sample of 20,000 clicks would remove the bias.
  10. A phone survey of a random sample of 1,000 adults reports a 95% margin of error of about 3.1 percentage points. Select every source of error that this margin of error does NOT cover.

    Select every option that applies.

    • Non-response bias, when many chosen adults never answer and differ from those who do
    • Question-wording bias, when the wording pushes people toward one answer
    • Undercoverage, when some adults have no phone and cannot be reached
    • The chance variation from which random sample of 1,000 happened to be drawn
    • The sample-to-sample wobble of p̂ that shrinks as the sample size grows

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