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- PROMPT 1: Ch 14: There are three measures of central tendency, which are the mean, the median, and the mode. Measures of dispersion include the range, the standard deviation, and the variance, and the interquartile range. DESCRIBE (define) each of these measures and EXPLAIN which of these measures you would use to provide an overview of (a) nominal, (b), ordinal, and (c) interval data. To help with this prompt, review these two articles.
- What is the difference between ordinal, interval and ratio variables? Why should I care? – FAQ 1089 – GraphPad (Links to an external site.)
- Nominal, Ordinal, Interval & Ratio: Explained Simply – Grad Coach (Links to an external site.)
- This will help you understand the measurements.
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- PROMPT 2: Ch 14: Data editing deals with detecting and correcting illogical, inconsistent, or illegal data in the information returned by the participants of the study. DESCRIBE (define) and distinguish between each of these and provide examples as related to your current survey project.
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- What I am asking here, is if you have a set of answers from a particular respondent that you feel are not accurate, then how do you handle that? For example, a person you gave the survey in person, answered that they were in the 60 year old age bracket, but you know they are in their 20’s, what do you do with their responses? Another example, one of your questions on your survey ask how is your overall view of the company and it is scored one to five, with one being poor. The person answers “poor” on this question, but on another question, you asked “have you experienced any problems with any products or services offered” and they response “everything is great,” then you can see their are inconsistent answers. What do you do is this situation.
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