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Last updated 4:16 PM on 4/20/26
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54 Terms

1
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If a histogram is skewed right, what is the relationship between the mean and the median?

Mean is greater than median (mean > median)

2
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If a histogram is skewed left, what is the relationship between the mean and the median?

Mean is less than median (mean < median)

3
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Which is more resistant to outliers: mean or median?

Median

4
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What does a boxplot show that a histogram does not?

Exact five-number summary (Min, Q1, Median, Q3, Max) and outliers

5
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Using the IQR method, a value is an outlier if it falls below what?

Q1 - 1.5 × IQR

6
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Using the IQR method, a value is an outlier if it falls above what?

Q3 + 1.5 × IQR

7
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If two events are mutually exclusive, can they be independent?

No, not unless one has probability zero.

8
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What is the difference between mutually exclusive and independent events?

Mutually exclusive means events cannot happen together; independent means one event does not affect the probability of the other.

9
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Does P(A|B) equal P(B|A) in general?

No, only when P(A) equals P(B).

10
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If P(A)=0.5, P(B)=0.5, and P(A∩B)=0.25, are A and B independent?

Yes, because P(A)×P(B)=0.25 which equals P(A∩B).

11
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In a tree diagram, how do you find the probability of reaching a final branch?

Multiply the probabilities along all branches leading to that outcome.

12
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What is the probability of neither A nor B occurring?

1 minus P(A union B), which is 1 minus [P(A)+P(B)-P(A∩B)].

13
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What distribution is used when counting the number of defective items in a sample of 10 drawn without replacement?

Hypergeometric.

14
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What distribution is used when counting the number of customers arriving at a store in one hour?

Poisson.

15
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What distribution is used when flipping a coin 20 times and counting the number of heads?

Binomial.

16
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What distribution is used when flipping a coin until the first head is obtained?

Geometric.

17
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What is a key clue that indicates the use of Poisson distribution instead of Binomial?

No fixed number of trials; counting events over time/area rather than number of attempts.

18
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For any continuous distribution, what is P(X equals an exact value)?

Zero.

19
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What are the mean and standard deviation of the standard normal distribution?

Mean = 0, Standard deviation = 1.

20
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What percentage of data falls within 2 standard deviations of the mean in a Normal distribution?

Approximately 95%.

21
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What percentage of data falls within 1 standard deviation of the mean in a Normal distribution?

Approximately 68%.

22
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What type of real-world phenomenon is often modeled by the exponential distribution?

Waiting times or lifetimes.

23
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As sample size increases, what happens to the sampling distribution of the sample mean?

It becomes more Normal and narrower.

24
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Does the Central Limit Theorem apply to the sample median?

No.

25
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If the population is Normal, what is the shape of the sample mean's distribution for any sample size?

Normal.

26
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What is the standard deviation of the sample mean called?

Standard error.

27
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If sample size increases, does the standard error increase or decrease?

Decrease.

28
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What does unbiased mean in plain English?

On average, the estimator hits the true parameter value.

29
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Is the sample variance s-squared unbiased for the population variance sigma-squared?

Yes.

30
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Is the sample standard deviation s unbiased for the population standard deviation sigma?

No.

31
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What does a consistent estimator mean?

As sample size increases, the estimator gets closer to the true parameter value.

32
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True or false: A 95% confidence interval means there is a 95% probability the parameter is in this specific interval.

False.

33
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If you increase the confidence level from 90% to 99%, what happens to the interval width?

It gets wider.

34
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If you increase the sample size, what happens to the confidence interval width?

It gets narrower.

35
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A 95% confidence interval for the population mean is (10, 20). Does this mean 95% of the data falls between 10 and 20?

No.

36
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What is the difference between margin of error and interval width?

Interval width = 2 × Margin of Error.

37
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In plain English, what is a p-value?

The probability of observing data as extreme as what you got, assuming the null hypothesis is true.

38
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A small p-value provides evidence for or against the null hypothesis?

Against the null hypothesis.

39
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If you fail to reject the null hypothesis, does that mean it's true?

No.

40
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What is a Type I error?

False positive - rejecting the null hypothesis when it is true.

41
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What is a Type II error?

False negative - failing to reject the null hypothesis when it is false.

42
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Which type of error is controlled by the significance level alpha?

Type I error.

43
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Which test should you use for the same subjects measured before and after a treatment?

Paired t-test.

44
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Which test should you use for two separate groups with different subjects?

Two-sample t-test.

45
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For a two-proportion z-test, what is the minimum sample size requirement?

At least 5 successes and 5 failures in each group.

46
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What does a slope of zero indicate about the relationship between X and Y?

There is no linear relationship.

47
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If R-squared equals 0.64, what percentage of variation in Y is explained by X?

64%.

48
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If R-squared equals 0.64 and the slope is positive, what is the correlation r?

0.8.

49
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Which is wider: a confidence interval for the mean response or a prediction interval for a new observation?

Prediction interval.

50
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What does the residual standard error estimate?

Sigma, the typical distance of points from the regression line.

51
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If the slope is positive, what sign does the correlation r have?

Positive.

52
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True or false: "We accept the null hypothesis" is correct statistical wording.

False.

53
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True or false: A 95% confidence interval means 95% of sample means fall in this interval.

False.

54
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True or false: The sample standard deviation s is an unbiased estimator of the population standard deviation sigma.

False.