Chapter 5: Probability and the Normal Distribution

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Last updated 8:06 PM on 7/22/26
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53 Terms

1
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What is the statistical definition of probability?

The relative likelihood of occurrence of any given outcome or event.

2
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Which probability rule is used to determine the probability that an event will NOT occur?

The Converse Rule.

3
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According to the Converse Rule, how is the probability of an event not occurring calculated?

By subtracting the probability that the event will occur from 1.

4
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The Addition Rule is used to determine __ probability by adding the probabilities of separate outcomes.

Cumulative

5
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What condition must be met for the simple Addition Rule P(A or B) = P(A) + P(B) to apply?

The outcomes must be mutually exclusive.

6
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What is the formula for the Addition Rule if the outcomes are not mutually exclusive?

P(A or B) = P(A) + P(B) - P(A and B)

7
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Which rule is used to find the probability of successive, independent outcomes occurring together?

The Multiplication Rule.

8
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What is the formula for the Multiplication Rule when outcomes A and B are independent?

P(A and B) = P(A) × P(B)

9
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If the assumption of independence is dropped, what does P(B|A) represent in the Multiplication Rule formula?

Conditional probability.

10
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What is the term for a function that describes the probability of a random variable taking certain values?

Probability distribution.

11
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To what descriptive statistical tool are probability distributions most closely analogous?

Frequency distributions in percentage terms.

12
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What is the sum of the probabilities of all possible events in a probability distribution?

1

13
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In a flip of two coins, what is the probability of obtaining exactly one head?

0.50

14
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In a flip of two coins, what is the probability of obtaining zero heads?

0.25

15
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When rolling two dice, what is the probability of the combined number being 7?

6/36 (or approximately .167)

16
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When rolling two dice, which combined score has the lowest probability of occurrence?

2 or 12 (each at 1/36)

17
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Definition: A variable whose values result from a random process or are associated with a probability distribution.

Random Variable

18
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What is the specific term used for the mean of a random variable?

Expected Value (E)

19
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How is the expected value of a random variable mathematically defined?

As the weighted average of all possible values the random variable can take.

20
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Which Greek letter is commonly used to symbolize the mean of a random variable?

μ

21
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Which Greek letter is used to represent the standard deviation of a random variable?

σ

22
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Which symbol represents the variance of a random variable in a theoretical distribution?

σ²

23
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In notation, what is the difference between the symbol s² and the symbol σ²?

s² is used for observed sample data, while σ² is used for theoretical distributions or populations.

24
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What determines whether a probability distribution is discrete or continuous?

The values that the associated random variable can take.

25
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What is the graphic presentation of a continuous probability distribution called?

A curve.

26
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On the graph of a continuous probability distribution, what does the value on the y-axis represent?

The probability that a random variable takes a certain value.

27
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For a continuous variable, the total area under the probability curve is equal to __.

1

28
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Why is it necessary to understand probability distributions in inferential statistics?

To make reasonably accurate estimations about a population using sample statistics.

29
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Which probability distribution is considered the most theoretically useful for statistical estimation?

The normal distribution.

30
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List two alternative names for the normal distribution.

The Gauss distribution or the bell curve.

31
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How is the symmetry of the normal curve described?

It is perfectly symmetrical.

32
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What is the modality of a normal curve?

Unimodal.

33
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Where do the mean, median, and mode lie in a normal distribution?

They coincide at the exact center of the distribution.

34
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What happens to the tails of the normal curve as they move away from the mean?

They continue infinitely closer to the baseline without ever touching it.

35
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According to the normal curve, what percentage of cases fall within one standard deviation of the mean ([μ - σ, μ + σ])?

68.26%

36
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What percentage of cases in a normal distribution fall within two standard deviations of the mean?

95.44%

37
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What percentage of cases in a normal distribution fall within three standard deviations of the mean?

99.74%

38
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What is the specific area under the normal curve between the mean (μ) and +1σ?

34.13%

39
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What is the term for a random variable that follows a normal distribution with a mean of 0 and a standard deviation of 1?

Z-score (or standard score).

40
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What is the name of a normal distribution consisting of z-scores?

Standard normal distribution.

41
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Formula: z = (X - μ) / σ

Definition: The formula for calculating a z-score by subtracting the mean from a raw score and dividing by the standard deviation.

42
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In the z-score formula, what does the symbol X represent?

A raw score.

43
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What two things does a z-score indicate about a raw score's relation to the mean?

Direction and degree of deviation in sigma units.

44
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What is the first step in finding the probability under the normal curve for a specific variable value?

Convert the value of the variable into a z-score.

45
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After converting a value to a z-score, what resource is used to decide the final probability?

The Appendix table of probabilities provided by statisticians.

46
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Why is the z-score process referred to as a 'standardization process'?

It allows the use of universal statistical tables to determine areas regardless of the original scale's mean or standard deviation.

47
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Concept: Expected Value of X (denoted E(X))

Definition: The long-run average value of a random variable, calculated as the sum of each possible value multiplied by its probability.

48
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The standard deviation of a z-score distribution is always equal to __.

1

49
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The mean of a standard normal distribution is always equal to __.

0

50
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What portion of cases in a normal distribution fall above the mean?

50%

51
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In Image [SOURCE_IMAGE_4], what percentage of the area lies between +1σ and +2σ?

13.6%

52
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In Image [SOURCE_IMAGE_4], what percentage of the area lies beyond 3σ from the mean in a single tail?

0.1%

53
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What is the point on the normal curve where the 'reversed S-shaped portion' shifts direction?

Exactly one standard deviation from the mean (1σ).