Probability
Sampling Methods
Graphs and Distribution
Confidence Intervals
Hypothesis Testing
100

What is the probability of getting an ace (any kind) in a standard deck of cards.

4/52


100

What is SRS?

Simple Random Sample.

100

When do we use a T curve instead of a Z?

When sigma is unknown.


100

What's the general format of a confidence interval?

Point estimate ± margin of error

100

What does the null hypothesis usually say?

No effect/no difference

200

P(ace of spades OR ace of hearts)

2/52 = 1/16


200

Name any 2 sampling bias.

1) Convenience Sampling

2) Response Bias

3) Voluntary Response Bias

4) Undercoverage Bias

5) Non-response Bias

Any 2 among the 5 will be correct.


200

A distribution has a long tail stretching to the right. Skewed left or skewed right?

Skewed Right(Positive Skew) 

200

If you raise your confidence level from 90% to 99%, does the interval get wider or narrower?

Wider

200

What does a p-value actually tell you?

The probability of getting results at least as extreme as yours, assuming the null is true.

300

Draw 3 cards without replacement; P(getting a king, an ace, and a jack, any order)

(4×4×4) / C(52,3) = 64/22,100 ≈ 0.0029

300

A school district wants to test a new math curriculum. They randomly select 5 elementary schools from the district and test every 4th grader in those 5 schools. What type of sampling is this?

Cluster Sampling.

300

In a right skewed distribution, which is larger, the mean or the median?

The mean

300

Name 2 ways to shrink the margin of error.

Increase the sample size, and lower the confidence level.

300

p-value = 0.03, α = 0.05. Reject or fail to reject?

Reject the null (since 0.03 < 0.05).

400

Without replacement, P(ace first, king second, jack third)

4/52 × 4/51 × 4/50 ≈ 0.00048

400

A researcher wants to know how local residents feel about a new park tax. They stand outside a high-end luxury gym at 10:00 AM on a Tuesday and interview the first 50 people who walk out. What type of bias is present.

Convenience Bias.

400

Test Scores are N(80,5). About what % of scores fall between 70 and 90?

95% (within 2SD) 

400

A sample of 100 students has a mean study time of 3 hours and a standard error of 0.2 hours. Give a rough 95% CI (use z* ≈  2) 

3 ± 2(0.2) = (2.6, 3.4) hours.

400

What's a Type I error vs a Type II error?

Type I = rejecting a true null (false positive). Type II = failing to reject a false null (false negative).

500

Without replacement, P(ace of spades, then king of clubs, then jack of diamonds)

1/52 × 1/51 × 1/50 = 1/132,600 ≈ 0.0000075
very low :) 

500

To sample 20 students, a teacher splits her class of 40 into 20 boys and 20 girls. She flips a coin: heads, she chooses all 20 boys; tails, she chooses all 20 girls. Why this method is NOT a Simple Random Sample.

Every possible group of 20 students does not have an equal chance of being selected.

500

Heights are N(65, 3) inches. What % of people are taller than 71 inches?

z = (71−65)/3 = 2, so ~2.5%.

500

A 95% CI for mean student height is (64, 68) inches. Write a correct interpretation.

We are 95% confident that the true mean height of all students is between 64 and 68 inches.

500

A chip company claims bags average 100g. A test gives p = 0.002 at α = 0.05. State the conclusion in context.

Reject the null there's convincing evidence the true mean weight is different from 100g.