Summarizing Quantitative Variables
About the Lecture
The lecture Summarizing Quantitative Variables by David Spade, PhD is from the course Statistics Part 1. It contains the following chapters:
- Summarizing Quantitative Variables
- Stem and Leaf Plots
- Shape of a Distribution
- Interquartile Range
- Example: Making a Boxplot
- How we describe Quantitative Variables
Included Quiz Questions
Which of the following graphical displays can be used to summarize the distribution of a quantitative variable?
- A histogram can be used to summarize the distribution of a quantitative variable.
- A bar chart can be used to summarize the distribution of a quantitative variable.
- A contingency table can be used to summarize the distribution of a quantitative variable.
- A pie chart can be used to summarize the distribution of a quantitative variable.
- A Venn diagram can be used to summarize the distribution of a quantitive variable.
What is a characteristic to evaluate when assessing a distribution?
- The spread of the distribution
- The weight of the distribution
- The beta of the distribution
- The kappa agreement of the distribution
- The age of the distribution
Which of the following is not true about a box plot?
- The upper whisker of a box plot always ends at the maximum, and the lower whisker of a box plot always ends at the minimum.
- The width of the box gives the interquartile range.
- The line in the middle of the box gives the value of the median.
- A box plot hides the number of modes in the distribution.
- A box plot shows the skew of data through their quintiles.
How do we typically describe a symmetric distribution?
- We typically use the mean and the standard deviation to describe the center and spread of a symmetric distribution.
- We typically use the five-number summary to describe a symmetric distribution.
- We typically use the median and the interquartile range to describe the center and spread of a symmetric distribution.
- We typically use the median and the range to describe the center and spread of a symmetric distribution.
- We typically use the mode and the range to describe the center and spread of a symmetric distribution.
What is the term used for a histogram with 3 modes?
- Multimodal
- Unimodal
- Bimodal
- Nomodal
- Infinitymodal
What is the median for the following data set: 12, 16, 17, 19, 23?
- 17
- 12
- 16
- 19
- 23
What is the median for the following data set: 12, 16, 17, 19?
- 16.5
- 12
- 16
- 17
- 19
What is the median for the following data set: 15, 17, 17, 12, 8, 18, 2?
- 15
- 17
- 12
- 8
- 18
What is the range of the following data set: 12, 16, 17, 19, 23?
- 11
- 10
- 12
- 13
- 14
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Author of lecture Summarizing Quantitative Variables
David Spade, PhD
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The explanation is smooth and clear. However, I think it would have been better if the common sense behind the formulas (especially the standard deviation) was explained in more detail so we can understand how the formulas work a little more deeply.
Its Pretty confusing. Ofc I am a person I ve never had any experience with statitics but during the lecture is so easy to lose pace. Lecture number 1 was easier to get because of the Age-Education as paradigm instead of soulless numbers.! In addition its really confusing when the examples are made with data from the previous slide, witch you dont see any more but you require it to proceed.
He is explaining great ! Little bit fast sometimes, but it is first time that i understand statistics.
Dr. Spade has a very practical way of explaining these concepts, without confusion. Much detail is provided and the process is smooth. Thanks Doc.
