# Statistics for the behavior science 9th edition , gravetter and

**Directions:**

In an essay of 250-500 words, thoroughly address the following items and respond to the related questions:

- Define the term standard deviation. Why is it important to know the standard deviation for a given sample? What do researchers learn about a normal distribution from knowledge of the standard deviation? A sample of
*n=*20 has a mean of*M =*40. If the standard deviation is*s=*5, would a score of X= 55 be considered an extreme value? Why or why not?

- Hypothesis testing allows researchers to use sample data, taken from a larger population, to draw inferences (i.e., conclusions) about the population from which the sample came. Hypothesis testing is one of the most commonly used inferential procedures. Define and thoroughly explain the terms
*null hypothesis*and*alternative hypothesis*. How are they used in hypothesis testing?

- Define the term standard error. Why is the standard error important in research using sample distributions? Consider the following scenario: A random sample obtained from a population has a mean of µ=100 and a standard deviation of σ = 20. The error between the sample mean and the population mean for a sample of
*n =*16 is 5 points and the error between a sample men and population mean for a sample of*n =*100 is 2 points. Explain the difference in the standard error for the two samples.

Requirements:

The assignment should be in APA format free from plagiarism. I need citations.

Reference has to be from scholarly research, no internet source accepted by my college.

The book we use in our class for is Gravetter and Wallnau 2013 statistics for the behavior science 9^{th} edition.