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Summarizing Quantitative Data

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Page 1: Summarizing Quantitative Data. We have discussed how to display data in a histogram. Today learn to describe how data is distributed

Summarizing Quantitative Data

Page 2: Summarizing Quantitative Data. We have discussed how to display data in a histogram. Today learn to describe how data is distributed

Summarizing Quantitative Data

• We have discussed how to display data in a histogram.

• Today learn to describe how data is distributed.

Page 3: Summarizing Quantitative Data. We have discussed how to display data in a histogram. Today learn to describe how data is distributed

Symmetric Distributions

• U –Shaped Distributions or Bimodal Distribution

Peaks at either end of the range.

Page 4: Summarizing Quantitative Data. We have discussed how to display data in a histogram. Today learn to describe how data is distributed

Bimodal Distributions

Page 5: Summarizing Quantitative Data. We have discussed how to display data in a histogram. Today learn to describe how data is distributed

Bimodal Distributions

Page 6: Summarizing Quantitative Data. We have discussed how to display data in a histogram. Today learn to describe how data is distributed

Bimodal Distribution

Page 7: Summarizing Quantitative Data. We have discussed how to display data in a histogram. Today learn to describe how data is distributed

Uniform Distribution

• When each outcome has a similar frequency it is called a uniform distribution.

• Most common occurrence is in situations with total randomness.

Page 8: Summarizing Quantitative Data. We have discussed how to display data in a histogram. Today learn to describe how data is distributed

Uniform Distribution

Page 9: Summarizing Quantitative Data. We have discussed how to display data in a histogram. Today learn to describe how data is distributed

Normal Distribution

• Mound shape or “Bell Curve”• Distribution found in MANY applications in Science, commerce,

industry, etc.• Blood Pressure, heart rates, height of adult males, weights of 2 year

old girls, test scores, etc.

Page 10: Summarizing Quantitative Data. We have discussed how to display data in a histogram. Today learn to describe how data is distributed

Normal Distribution

Page 11: Summarizing Quantitative Data. We have discussed how to display data in a histogram. Today learn to describe how data is distributed
Page 12: Summarizing Quantitative Data. We have discussed how to display data in a histogram. Today learn to describe how data is distributed

Skewed Distributions

• In a skewed distribution, the interval or group of intervals that contains the greatest frequencies is near one end of the histogram • The thinner ends of the distribution are called the tails • If one tail stretches out farther than the other, the histogram is said

to be skewed to the side of the longer tail

Page 13: Summarizing Quantitative Data. We have discussed how to display data in a histogram. Today learn to describe how data is distributed
Page 14: Summarizing Quantitative Data. We have discussed how to display data in a histogram. Today learn to describe how data is distributed
Page 15: Summarizing Quantitative Data. We have discussed how to display data in a histogram. Today learn to describe how data is distributed
Page 16: Summarizing Quantitative Data. We have discussed how to display data in a histogram. Today learn to describe how data is distributed

Summarizing Data

• Step 1: Identify the variable you are summarizing and give any pertinent information • Step 2: Make a histogram and a box-and-whisker plot • Step 3: Based on the distribution of the data, choose appropriate

numerical summaries • Step 4: Summarize and interpret your findings. Discuss the shape of

the distribution, center, spread and any unusual features (eg. Outliers)

Page 17: Summarizing Quantitative Data. We have discussed how to display data in a histogram. Today learn to describe how data is distributed

Example

• Summarize the distribution of the following data on the salary structure of Statsville Plush Toys Inc.

Page 18: Summarizing Quantitative Data. We have discussed how to display data in a histogram. Today learn to describe how data is distributed

Step 1 Identify Variable

• Step 1: Identify the variable you are summarizing and give any pertinent information

The Data Describes the salaries of all 100

employees at Statsville toy companies

Page 19: Summarizing Quantitative Data. We have discussed how to display data in a histogram. Today learn to describe how data is distributed

Step 2 Make Histogram; Box and Whisker

Median: 50th and 51 entry are here3rd Quartile: 75th and

76th entry are here

1st Quartile: 25th and 26th entry are here

Page 20: Summarizing Quantitative Data. We have discussed how to display data in a histogram. Today learn to describe how data is distributed

Step 2 Make Histogram; Box and Whisker

Page 21: Summarizing Quantitative Data. We have discussed how to display data in a histogram. Today learn to describe how data is distributed

Step 3 Pick Appropriate Numerical Summaries• Centre and Spread• Always pair the median with the IQR and the mean with the standard

deviation • If the distribution is skewed, report the median and the IQR. You may wish to

point out the mean and standard deviation as well, but point out why the mean and median differ • If the distribution is symmetric, report the mean and standard deviation

Page 22: Summarizing Quantitative Data. We have discussed how to display data in a histogram. Today learn to describe how data is distributed

Step 3 Pick Appropriate Numerical Summaries• Unusual Features• If there are multiple modes, try to identify why • If there are clear outliers, point them out. If you are reporting mean and

standard deviation, report them with outliers present and with outliers removed (median and IQR not affected much by outliers)

Page 23: Summarizing Quantitative Data. We have discussed how to display data in a histogram. Today learn to describe how data is distributed
Page 24: Summarizing Quantitative Data. We have discussed how to display data in a histogram. Today learn to describe how data is distributed
Page 25: Summarizing Quantitative Data. We have discussed how to display data in a histogram. Today learn to describe how data is distributed

Step 4 Summarize and interpret

• The data is unimodal and somewhat right-skewed with a median of $ 45 000 and IQR of $ 20 000 indicating that the spread of employee salaries at Statsville Plush Toys Inc. is fairly high • There was a high outlier of $ 95 000. In this case the outlier did not

have a significant effect on the mean of $ 45 300 • From the standard deviation it can be concluded that on average,

employee salaries differ from the mean by $ 13 380

Page 26: Summarizing Quantitative Data. We have discussed how to display data in a histogram. Today learn to describe how data is distributed

Assignment

• Handout