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Research Methods and Statistics: A Critical Thinking Approach 5th Edition By Sherri L. Jackson 9781305563834 Chapter 1-15 Complete Guide .

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Research Methods and Statistics: A Critical Thinking Approach 5th Edition By Sherri L. Jackson 9781305563834 Chapter 1-15 Complete Guide .

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Test Bank For Research Methods and Statistics: A Critical
Thinking Approach 5th Edition By Sherri L. Jackson
9781305563834 Chapter 1-15 Complete Guide .
what are the advantages of primary data? - ANSWER: researcher provided with exactly the
information needed

what are the disadvantages of using primary data? - ANSWER: time consuming and resource intensive

what are the disadvantages of using secondary data? - ANSWER: no direct control over research
quality may be compromised

what are the advantages of secondary data? - ANSWER: time and effort needed to gather info is
reduced
more cost effective

what are the disadvantages of the mean? - ANSWER: uses all the data but the outliers as it can be
badly distorted
can't be used with extreme values

what are the disadvantages of the median? - ANSWER: less sensitive to variations in data so not good
for using with a small data set

what are the disadvantages of the mode? - ANSWER: sometimes a data set may not have a most
frequent value

what are the advantages of the range? - ANSWER: takes extreme scores into account

what are the disadvantages of the range? - ANSWER: most data is ignored
may not reveal the full extent of the distribution

what are the advantages of standard deviation? - ANSWER: shows the range temperature compared
to the mean:
small = consistent
large = varied results

how do you calculate the standard deviation? - ANSWER: 1. table of data
2. calculate mean
3. subtract mean from each number in sample (X-x ̅)
4. square (X-x ̅)
5. add all the squared numbers together
6. divide the sum by n-1 to give variance
7. square root the variance

What is a parametric test? - ANSWER: A test that assumes the populations drawn from are normally
distributed

What is a non-parametric test? - ANSWER: Distribution free tests, used when assumptions are not
met:

Data does not come from a normal distribution
Variances are not assumed to be the same in different groups
Data is nominal or ordinal
Assumptions of ANOVA cannot be met

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Publisher: 2003 ISBN: 9780534554231 Edition: Unknown

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