Geometric Distribution Concepts

Geometric Distribution Concepts

Assessment

Interactive Video

Mathematics

11th - 12th Grade

Hard

Created by

Thomas White

FREE Resource

The video tutorial explores the geometric distribution in R, highlighting its two formulations: the number of trials needed for a success and the number of failures before a success. It explains how R specifically handles the latter. The tutorial also guides viewers on using R's help files and provides a practical example of calculating probabilities using R's geometric distribution functions.

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28 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the geometric distribution primarily concerned with?

The total number of trials conducted

The probability of failure in a single trial

The average number of successes in a trial

The number of trials needed to achieve a success

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How many types of geometric distributions are there?

Four

Two

One

Three

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the first type of geometric distribution, what does the variable X represent?

Probability of success

Number of trials needed for one success

Number of successes

Number of failures

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the second type of geometric distribution focus on?

Probability of multiple successes

Number of failures before the first success

Average number of failures

Number of trials needed for one success

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In R, which type of geometric distribution is primarily used?

Average number of successes

Probability of success in each trial

Number of failures before the first success

Number of trials needed for one success

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What command in R is used to access the help file for geometric distribution?

help(DGom)

help(geoDist)

help(geom)

help(geomDist)

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the probability of success in the given R example?

0.7

0.1

0.3

0.5

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