Parametric tests (such as t or ANOVA) differ from nonparametric tests (such as chi-square) primarily in terms of the assumptions they require and the data they use. Explain these differences.
Read more
Table of Contents
1
Introduction to Statistics
2
Frequency Distributions
3
Central Tendency
4
Variability
5
z-Scores: Location of Scores and Standardized Distributions
6
Probability
7
Probability and Samples: The Distribution of Sample Means
8
Introduction to Hypothesis Testing
9
Introduction to the t Statistic
10
The t Test for Two Independent Samples
11
The t Test for Two Related Samples
12
Introduction to Analysis of Variance
13
Two-Factor Analysis of Variance
14
Correlation and Regression
15
The Chi-Square Statistic: Tests for Goodness of Fit and Independence
Textbook Solutions for Essentials of Statistics for the Behavioral Sciences
Chapter 15 Problem 6
Question
A professor in the psychology department would like to determine whether there has been a significant change in grading practices over the years. It is known that the overall grade distribution for the department in 1985 had 14% As, 26% Bs, 31% Cs, 19% Ds, and 10% Fs. A sample of n = 200 psychology students from last semester produced the following grade distribution:
Do the data indicate a significant change in the grade distribution? Test at the .05 level of significance.
Solution
Step 1 of 3
Given that
,
,
,
,
Subscribe to view the
full solution
full solution
Title
Essentials of Statistics for the Behavioral Sciences 10
Author
Frederick J Gravetter, Larry B. Wallnau, Lori-Ann B. Forzano, James E. Witnauer
ISBN
9780357365298