Statistical Sciences 2244A/B Study Guide - Final Guide: Frequency Distribution, Standard Deviation, Histogram

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Stats 2244
Summarizing Qualitative and Quantitative Data
Descriptive Statistics
- Summarizing qualitative and quantitative data
o Frequency distributions
o Bar graphs
o Histogram
- Describing distributions of quantitative data
o Center (calculating mean and median)
o Shape
o Spread (calculating range, variance, standard deviation)
Dataset 1: Qualitative Data
- Students were asked to rank their perceived level of engagement via responses to: ) regularly
participate in class discussions N=60
- These values are non-numeric so its qualitative data
Summarizing Qualitative Data
- The easiest way to summarize qualitative data is with a frequency distribution table that lists
all the possible values that the variable participation could take on (strongly disagree, disagree,
neither agree nor disagree etc)
- The frequency distribution tells us the frequency at which each of those values appeared in the
dataset
- We could if we want to calculate those frequencies as percentages
- We could also turn those percentages into relative frequencies proportions out of 1
o So 15% would be a relative frequency of 0.15
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Document Summary

Summarizing qualitative and quantitative data: frequency distributions, bar graphs, histogram. Describing distributions of quantitative data: center (calculating mean and median, shape, spread (calculating range, variance, standard deviation) Students were asked to rank their perceived level of engagement via responses to: (cid:494)) regularly participate in class discussions(cid:495) (cid:523)n=60(cid:524) These values are non-numeric so its qualitative data. Summarizing qualitative data dataset all the possible values that the variable participation could take on (strongly disagree, disagree, neither agree nor disagree etc) The easiest way to summarize qualitative data is with a frequency distribution table that lists. We could also turn those percentages into relative frequencies proportions out of 1. The frequency distribution tells us the frequency at which each of those values appeared in the. We could if we want to calculate those frequencies as percentages: so 15% would be a relative frequency of 0. 15. That information is created into a graph.