Descriptive statistics Describing data with numbers: measures of location.

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Presentation transcript:

Descriptive statistics Describing data with numbers: measures of location

What to describe? What is the “location” or “center” of the data? (“measures of location”) How do the data vary? (“measures of variability”)

Measures of Location Mean Median Mode

Mean Another name for average. If describing a population, denoted as , the greek letter “mu”. If describing a sample, denoted as , called “x-bar”. Appropriate for describing measurement data. Seriously affected by unusual values called “outliers”.

Calculating Sample Mean Formula: That is, add up all of the data points and divide by the number of data points. Data (# of classes skipped): Sample Mean = ( )/5 = 3.6 Do not round! Mean need not be a whole number.

Median Another name for 50th percentile. Appropriate for describing measurement data. “Robust to outliers,” that is, not affected much by unusual values.

Calculating Sample Median Order data from smallest to largest. If odd number of data points, the median is the middle value. Data (# of classes skipped): Ordered Data: Median

Calculating Sample Median Order data from smallest to largest. If even number of data points, the median is the average of the two middle values. Data (# of classes skipped): Ordered Data: Median = (3+4)/2 = 3.5

Mode The value that occurs most frequently. One data set can have many modes. Appropriate for all types of data, but most useful for categorical data or discrete data with only a few number of possible values.

In Minitab: Variable N Mean Median TrMean StDev SE Mean Phone Variable Minimum Maximum Q1 Q3 Phone N = number of data points Sample mean Sample median

In Minitab: Select Stat. Select Basic Statistics. Select Display Descriptive Statistics. Select variable(s) of interest. Select OK.

The most appropriate measure of location depends on … the shape of the data’s distribution.

Most appropriate measure of location Depends on whether or not data are “symmetric” or “skewed”. Depends on whether or not data have one (“unimodal”) or more (“multimodal”) modes.

Symmetric and Unimodal

Descriptive Statistics Variable N Mean Median TrMean StDev SE Mean GPA Variable Minimum Maximum Q1 Q3 GPA

Symmetric and Bimodal

Variable N Mean Median TrMean StDev Males Females All Variable SE Mean Min Max Q1 Q3 Males Females All

Symmetric and Bimodal

Skewed Right

Descriptive Statistics Variable N Mean Median TrMean StDev SE Mean CDs Variable Minimum Maximum Q1 Q3 CDs

Skewed Left

Variable N Mean Median TrMean StDev SE Mean grades Variable Minimum Maximum Q1 Q3 grades

Choosing Appropriate Measure of Location If data are symmetric, the mean, median, and mode will be approximately the same. If data are multimodal, report the mean, median and/or mode for each subgroup. If data are skewed, report the median.