A16-6 Stem&Leaf, Average Notes
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This document discusses stem-and-leaf plots and different measures of central tendency including mean, median, and mode. A stem-and-leaf plot arranges data by grouping numbers with the same stem. The mean is found by adding all the numbers and dividing by the total numbers. The median is the middle number when the data is ordered. The mode is the number that occurs most frequently and data can have no mode or more than one mode. Examples are provided to calculate and interpret the mean, median, and mode of sample data sets.
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3. The key steps in a paired t-test are calculating the differences between pairs, finding the mean and standard deviation of the differences, determining the t-statistic, computing the
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· Define and categorize variables.
· Calculate measures of center and variation using formulas and excel.
Module 01 - Part 1
In statistics, we want to study populations to understand how they function and work. To do this, we need to use variables to identify what we would like to study.
· A _________________________ is a characteristic or property of an individual experimental (or observational) unit in the population.
· This term comes from the idea that a characteristic will vary among the units in a population.
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Depending on the response to your variables, they can be classified as either quantitative or qualitative variables.
· _________________________________ variables have a response that requires a numerical answer.
· Which variables that we found would be quantitative?
· _________________________________ variables have a response that requires a non-numerical answer.
· Which variables that we found would be qualitative?
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b) What types of pets do you own?
c) How friendly are your pets on a scale from 1-4 (4 being very friendly and 1 being mean)?
d) How much does your pet weigh?
Looking specifically at quantitative variables, we can label them as discrete or continuous.
*Note: this categorization does NOT apply to qualitative variables!
· A __________________________________ variable is a quantitative variable that can take on any value between two specific values. (infinite possibilities)
· Examples:
· A ___________________________ variable is a quantitative variable that can only take on a certain number of values (limited possibilities).
· Examples:
Examples. Define the following variables as discrete or continuous.
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b) Students’ heights
c) Color of students’ hair
d) Dog’s weight
e) Sum of rolling two dice
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· ________________________ scales are used for labeling variables without any quantitative value.
· All qualitative variables will fall into this category along with any quantitative variables that don’t hold any numerical significance.
· Hint: “nominal” sounds like “name”.
· Examples:
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· Hint: “Ordinal” sounds like “order”
· Examples:
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· Note: They don’ ...
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