Sampling, Inferences & Comparing Populations — Practice

You cannot measure everyone, so you measure some. A random sample lets a small group speak honestly for a large one.

What these questions cover

These questions use 12 ideas from the course. Follow any of them for a definition, where it is taught, and what it leads to.

Problem 1

Find the mean of 4, 8, 10, 14.

Worked answer

9

4 + 8 + 10 + 14 = 36

36 ÷ 4 = 9

Problem 2

Find the median of 3, 7, 9, 12, 15.

Worked answer

9

Five values, so the middle is the 3rd

The median is 9.

Problem 3

Find the median of 4, 6, 9, 11.

Worked answer

7.5

Middle two are 6 and 9

6 + 92 = 7.5

Problem 4

In a sample of 50 students, 15 prefer pizza. What percent is that?

Worked answer

30

1550 = 0.30

= 30%

Problem 5

Find the mode of 2, 3, 3, 5, 7, 3, 8.

Worked answer

3

3 appears three times, more than any other value.

Problem 6

In a random sample of 200 voters, 84 support a measure. Estimate how many of 5,000 voters support it.

Worked answer

2100

84200 = 0.42

0.42 × 5000 = 2100

About 2,100 voters.

Problem 7

The mean of 5 numbers is 12. What is their sum?

Worked answer

60

12 × 5 = 60

Problem 8

Four tests average 78. What score on a fifth test would raise the average to 80?

Worked answer

88

Current total: 78 × 4 = 312

Target total: 80 × 5 = 400

400 - 312 = 88

Problem 9

Find the mean absolute deviation of 4, 8, 10, 14.

Worked answer

3

Distances from 9: 5, 1, 1, 5

5 + 1 + 1 + 5 = 12

12 ÷ 4 = 3

Problem 10

You want to know how much TV the average 7th grader watches. Which sample is biased?

  1. 60 students drawn at random from the full roster
  2. Every 5th student leaving the building at dismissal
  3. Students waiting outside the school television studio
  4. 60 students picked at random from each grade list
Worked answer

Students waiting outside the school television studio

Students at the TV studio are far more interested in television than a typical student.

That makes them over-represent heavy viewers — a biased sample.

The other three give every student a fair chance of selection.

Problem 11

A data set is 12, 15, 15, 18, 140. Which measure better describes a typical value?

  1. The mean
  2. The median
  3. They are equally good
Worked answer

The median

Mean = 2005 = 40

Median = 15

No value is near 40 — the outlier 140 dragged the mean away from the data.

Problem 12

A factory samples 80 items and finds 24 defective. Estimate the number of defective items in a batch of 1,500.

Worked answer

450

2480 = 0.30

0.30 × 1500 = 450

Problem 13

Six numbers have a mean of 20. One of them, 35, is removed. What is the mean of the remaining five?

Worked answer

17

Total: 20 × 6 = 120

After removing: 120 - 35 = 85

85 ÷ 5 = 17

Problem 14

The mean of seven numbers is 15. Every number is increased by 4. What is the new mean?

Worked answer

19

The total rises by 7 × 4 = 28

New total: 105 + 28 = 133

133 ÷ 7 = 19 — shifting every value shifts the mean by the same amount.

Problem 15

Class A has mean 84 and MAD 2. Class B has mean 88 and MAD 3. How large is the mean gap relative to the MADs?

  1. Twice A's MAD and about 1.33 times B's MAD
  2. Half of each MAD
  3. Exactly equal to each MAD
Worked answer

Twice A's MAD and about 1.33 times B's MAD

The gap between means is 88-84=4.

Relative to A: 4/2=2 MADs. Relative to B: 4/3≈1.33 MADs.

This describes the separation; it is not a statistical significance test.

Problem 16

A biologist tags 60 fish and releases them. Later a sample of 45 fish contains 9 tagged ones. Estimate the lake's fish population.

Worked answer

300

Sample fraction tagged: 945 = 15

So the 60 tagged fish are about 15 of the lake

60 × 5 = 300 fish

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