Stat Review

Stat Review

11th Grade

•

35 Qs

quiz-placeholder

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Stat Review

Stat Review

Assessment

Quiz

•

Mathematics

•

11th Grade

•

Practice Problem

•

Medium

•
CCSS
HSS.MD.A.2, 6.SP.B.5D, HSS.ID.A.4

+7

Standards-aligned

Created by

MARCO RAY RUANTO

Used 1+ times

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35 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a random variable?

A random variable is a fixed value that never changes.

A random variable is a variable whose possible values are outcomes of a random phenomenon.

A random variable is a variable that is always predictable.

A random variable is a variable that only takes on one value.

Tags

CCSS.HSS.MD.A.2

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Define probability distribution.

A probability distribution is a mathematical function that provides the probabilities of occurrence of different possible outcomes in an experiment or random process.

A probability distribution is a type of car engine

A probability distribution is a weather forecast model

A probability distribution is a cooking recipe

Tags

CCSS.HSS.MD.A.3

CCSS.HSS.MD.A.4

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Explain the concept of mathematical expectations.

Mathematical expectations are calculated by adding all outcomes without considering their probabilities.

The concept of mathematical expectations involves calculating the average value of a random variable by multiplying each outcome by its probability and summing them up.

Mathematical expectations involve dividing each outcome by its probability to find the average value of a random variable.

The concept of mathematical expectations is only applicable to discrete random variables.

Tags

CCSS.HSS.MD.A.2

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How is variance calculated in probability theory?

Variance = Σ((x - μ)²) / n, where x is the range, μ is the mean, and n is the total number of data points.

Variance = Σ((x - μ)²) / n, where x is the median, μ is the mean, and n is the total number of data points.

Variance = Σ((x - μ)²) / n, where x is the mode, μ is the mean, and n is the total number of data points.

Variance = Σ((x - μ)²) / n, where x is each data point, μ is the mean, and n is the total number of data points.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the expected value of a random variable?

The expected value of a random variable is the sum of each possible value multiplied by its probability of occurring.

The expected value of a random variable is the maximum of the possible values.

The expected value of a random variable is the mode of the possible values.

The expected value of a random variable is the median of the possible values.

Tags

CCSS.HSS.MD.A.2

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Describe the characteristics of a normal distribution.

A normal distribution is always bimodal, with two distinct peaks in the data distribution.

A normal distribution follows the 50-75-100 rule, where approximately 50% of the data falls within one standard deviation.

A normal distribution is symmetric around its mean, with the majority of the data falling within one standard deviation of the mean. It follows the 68-95-99.7 rule, where approximately 68% of the data falls within one standard deviation, 95% within two standard deviations, and 99.7% within three standard deviations.

A normal distribution is skewed to the left, with the majority of the data falling within one standard deviation of the mean.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the mean of a normal distribution?

The mean of a normal distribution is equal to the standard deviation.

The mean of a normal distribution is always zero.

The mean of a normal distribution is always negative.

The mean of a normal distribution is equal to the center of the distribution, which is represented by the peak of the bell curve.

Tags

CCSS.6.SP.B.5D

CCSS.HSS.ID.A.2

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