Statistics Ch 4 Practice Test

Statistics Ch 4 Practice Test

Assessment

Flashcard

Mathematics

11th - 12th Grade

Practice Problem

Hard

CCSS
HSS.MD.A.2, HSS.MD.A.3, 7.SP.C.6

+3

Standards-aligned

Created by

Wayground Content

FREE Resource

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15 questions

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1.

FLASHCARD QUESTION

Front

What is the expected value in probability and statistics?

Back

The expected value is the long-term average or mean of a random variable, calculated as the sum of all possible values, each multiplied by its probability of occurrence.

Tags

CCSS.HSS.MD.A.2

2.

FLASHCARD QUESTION

Front

How do you calculate the expected number of trials until the first success in a geometric distribution?

Back

The expected number of trials until the first success is given by E(X) = 1/p, where p is the probability of success.

3.

FLASHCARD QUESTION

Front

What is the formula for calculating the probability of a specific outcome in a binomial distribution?

Back

P(X = k) = (n choose k) * p^k * (1-p)^(n-k), where n is the number of trials, k is the number of successes, and p is the probability of success.

Tags

CCSS.HSS.MD.A.3

CCSS.HSS.MD.A.4

4.

FLASHCARD QUESTION

Front

What is the significance of the mean and standard deviation in a normal distribution?

Back

The mean indicates the center of the distribution, while the standard deviation measures the spread or dispersion of the data around the mean.

5.

FLASHCARD QUESTION

Front

What is the probability of not picking the correct number in a game of roulette until the fifth try?

Back

The probability can be calculated using the formula (1 - p)^(k-1) * p, where p is the probability of success on each trial.

Tags

CCSS.7.SP.C.6

6.

FLASHCARD QUESTION

Front

How do you find the mean of a binomial distribution?

Back

The mean of a binomial distribution is calculated as μ = n * p, where n is the number of trials and p is the probability of success.

7.

FLASHCARD QUESTION

Front

What is the relationship between odds and probability?

Back

Odds represent the ratio of the probability of an event occurring to the probability of it not occurring, expressed as odds = p / (1 - p).

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