In the formula for a binomial model, $$p$$ is

the probability of success for a single trial

the number of trials in the experiment

the expected value of the random variable

the standard deviation of the random variable

In the formula for a binomial model, $$n!$$ is

the factorial of a non-negative integer n

the product of a non-negative integer n

the sum of a non-negative integer n

the square of a non-negative integer n

In math, a factorial is

The product of all positive integers up to a given number.

The sum of all positive integers up to a given number.

The division of all positive integers up to a given number.

The difference of all positive integers up to a given number.

Interpret the inequality. $$x\le8$$

x is greater than or equal to 8.

Interpret the inequality. $$x\ge8$$

x is greater than or equal to 8.

If you're shading to the left on the normal model curve, how will you find your probability?

Use probability found in table.

Divide the area by the standard deviation

Use the median value as the probability

Subtract the area to the right from 1

If you're shading to the right on the normal model curve, how will you find your probability?

Subtract the area to the right from 1

Divide the area by the standard deviation

Use the median value as the probability

Use probability found in table.

If you're shading between two z-scores on the normal model curve, how will you find your probability?

Subtract the smaller probability from the larger probability

Divide the z-scores and take the square root

STAT Module 2 Part II.

Authored by Jay Guerrero

Mathematics

University

CCSS covered

Used 3+ times

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19 questions

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MULTIPLE CHOICE QUESTION

15 mins • 1 pt

Random variables are

Variables that are always constant

Values that cannot change

Variables that can take on different values with certain probabilities.

Numbers that are predetermined

MULTIPLE CHOICE QUESTION

15 mins • 1 pt

A probability model for a random variable consists of

Probabilities without associated values

Possible values and their associated probabilities

Possible values without probabilities

Only the highest probability value

Tags

CCSS.7.SP.C.7A

MULTIPLE CHOICE QUESTION

15 mins • 1 pt

A probability model has two characteristics

It must assign probabilities to outcomes and the probabilities must sum up to 100%.

It must assign probabilities to outcomes and the probabilities must sum up to 0.

It must assign probabilities to outcomes and the probabilities must sum up to 1.

It must assign probabilities to outcomes and the probabilities must sum up to 0.5.

Tags

CCSS.7.SP.C.7A

MULTIPLE CHOICE QUESTION

15 mins • 1 pt

Another term for our expected value (μ) is

mode

population mean

population median

range

Tags

CCSS.HSS.MD.A.2

MULTIPLE CHOICE QUESTION

15 mins • 1 pt

The binomial model is

A historical timeline of ancient civilizations

A cooking recipe for baking cakes

A mathematical formula for calculating prime numbers

A probability distribution that calculates the likelihood of a specific outcome in a series of trials.

Tags

CCSS.HSS.MD.A.3

CCSS.HSS.MD.A.4

MULTIPLE SELECT QUESTION

15 mins • 1 pt

Mark all choices that apply.
Assumptions for the binomial model is

There are two possible outcomes.

The probability of a success, p, is constant.

There are a fixed number of trials.

There are a fixed number of events.

The trials are independent.

MULTIPLE CHOICE QUESTION

15 mins • 1 pt

the number of successes in a fixed number of trials

the number of failures in a fixed number of trials

the total number of trials

the probability of success in each trial

Tags

CCSS.HSS.MD.A.3

CCSS.HSS.MD.A.4

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STAT Module 2 Part II.

Random variables are

A probability model for a random variable consists of

A probability model has two characteristics

Another term for our expected value (μ) is

The binomial model is

Mark all choices that apply.Assumptions for the binomial model is

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Mark all choices that apply.
Assumptions for the binomial model is