Statistics for The Behavioral Sciences (MindTap Course List)
10th Edition
ISBN: 9781305504912
Author: Frederick J Gravetter, Larry B. Wallnau
Publisher: Cengage Learning
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Textbook Question
Chapter 17, Problem 1P
l. Parametric tests (such as t or ANOVA) differ from nonparametric tests (such as chi-square) primarily in terms of the assumption they require and the data they use. Explain the differences.
Expert Solution & Answer
To determine
The differences between parametric and non-parametric tests.
Answer to Problem 1P
Solution:
Non Parametric tests | Parametric tests |
No information about the population is available. | Information about the population is completely known. |
No assumptions are made regarding the population. | Specific assumptions are made regarding the population. |
The null hypothesis is free from parameters. | The null hypothesis is made on parameters of population distribution. |
Explanation of Solution
The basic difference between parametric and non-parametric tests are the assumptions associated with non-parametric tests. They are:
- The sample observations are independent.
- The variable under study is continuous.
- The probability density function is continuous.
- Lower order moments exist.
- The non-parametric tests do not require the population to have a normal distribution.
Conclusion:
These are the assumptions for non-parametric tests which are fewer and much weaker than those associated with parametric tests.
Justification:
This is why the non-parametric tests can be performed on data measured on any scale.
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Students have asked these similar questions
What parametric test is used when you want to compare more than two independent samples?
a.
Chi-square
b.
Independent t-test
c.
z-test
d.
one-way ANOVA
Find the area and normal curve
Less than z = -2.11
A researcher was interested in whether head worn displays were better than tablet displays for assisting rst responders with their tasks. He had 17 paramedics use either a head worn display (n = 9) or a tablet display (n = 8) during a simulated medical emergency. Each paramedic’s subjective workload score was measured out of 20 (where 20 indicated the highest workload). The data did not conform to the assumptions of a parametric test.
a. What is the rank sum for the Head worn display group?
a. 80
b. 73
c. 71
d. 82
b. What is the WS?
a. 71
b. 80
c. 73
d. 82
c. What critical value of WS do you compare your obtained value to?
a. 53
b. 54
c. 49
d. 51
Chapter 17 Solutions
Statistics for The Behavioral Sciences (MindTap Course List)
Ch. 17 - l. Parametric tests (such as t or ANOVA) differ...Ch. 17 - The student population at the state college...Ch. 17 - 3.A developmental psychologist would like to deter...Ch. 17 - Data from the Motor Vehicle Department indicate...Ch. 17 - Research has demonstrated that people tend to be...Ch. 17 - Suppose that the researcher fromthe previous...Ch. 17 - A professor in the psychology department would...Ch. 17 - Automobile insurance is much more expensive for...Ch. 17 - The color red is often associated with anger and...Ch. 17 - Prob. 10P
Ch. 17 - Prob. 11PCh. 17 - 12. Many businesses use some type of customer...Ch. 17 - In a classic study, Loftus and Palmer (1974)...Ch. 17 - In a study investigating freshman weight gain, the...Ch. 17 - Research results suggest that IQ scores for boys...Ch. 17 - 16. Gender difference in dream content are wen...Ch. 17 - 17. In a study similar to one conducted by Fallon...Ch. 17 - 18. A recent study indicate that people tend to...Ch. 17 - 19. Research indicates that people who volunteer...Ch. 17 - Cialdini, Reno, andKallgre,n (11990) examined how...Ch. 17 - Although the phenomenon is not well understood, it...Ch. 17 - In the Preview for this chapter we presented a...Ch. 17 - Research has demonstrated strong gender...
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- If Elliot collects data from a single sample and her dependent variable is assessed on a nominal scale, which of these difference tests would Elliot need to use to analyze her data? a. single sample t test b. between-subjects, one-way ANOVA. c. chi square goodness of fit test d. single-sample z testarrow_forwardFind the area and normal curve between z = -2.19 and z = -1.76arrow_forward
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