SAT College

You have 13 different video games. How many different ways can you arrange the games side by side on a​ shelf?

Answers

Answer 1
13 different ways because u can put 1 on each side
Answer 2

You can arrange 13 different video games side by side in : 6227020800 different ways

Analysis of the problem using factorials

Given that you have 13 different video games the number of ways in which you can arrange the games side by side is

13 ! = 13 * 12 * 11 * 10 * 9 * 8 * 7 * 6 * 5 * 4 * 3 * 2 * 1

    = 6227020800 ways

Hence we can conclude that You can arrange 13 different video games side by side in : 6227020800 different ways.

Learn more about factorials : https://brainly.com/question/16036678

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Related Questions

According to Hebrews 11, what did Abraham believe God would do if Isaac was slain as a sacrifice?

Answers

Answer: He believed God would revive Isaac.

45,43,45,44,44,44,47

Using this data, create a dot plot where each dot represents a season.

Answers

this data, create a dot plot where each dot represents a season.

Can someone please help me with this question

Answers

The answer is C. (0,1). I believe.

Answer is c (0,1) it is ur answer

Which of the following statements is FALSE?

a.)
A larger sample size would increase the effectiveness of a hypothesis test.

b.)
Alpha (α) is equal to the probability of making a Type I error.

c.)
​Expanding the sample size can increase the power of a hypothesis test.

d.)
Reducing the significance level (α) can increase a test's effectiveness.

Answers

The statement that is FALSE among the given options on hypothesis testing is;

Option D; Reducing the significance level (α) can increase a test's effectiveness.

This is about hypothesis testing.

Let us look at each of the options.

A) When we increase the sample size, it means the testing becomes more sensitive and as such we are more likely to reject the null hypothesis. Thus, it increases the effectiveness.

B) Alpha (α) is defined as the probability of rejecting the null hypothesis. Thus it is the probability of making a Type I error.

C) Expanding the sample size makes the hypothesis test to be more sensitive. That is makes it more likely to reject the null hypothesis when it is  false and as such it increases the power of the test.

D) The lower the significance level, the lower the power of the test and as such the lesser the tests effectiveness.

Read more about hypothesis testing at; https://brainly.com/question/15980493

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