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Module 01 – Basics of Statistics Class Objectives: · 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. Example. Looking at this class as a population, what could be a variable that we may want to study? 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? Examples. Define the following variables as quantitative or qualitative. a) How many pets do you own? 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. a) Number of students who are blonde b) Students’ heights c) Color of students’ hair d) Dog’s weight e) Sum of rolling two dice For both qualitative and quantitative variables, we also have another level of classification: nominal, ordinal, interval, and ratio. · ________________________ 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: · ________________________ scales the order of the values is what’s important and significant, but the differences between each on its own is not really known. · They are typically scales of non-numeric concepts like satisfaction, happiness, discomfort, etc. · Hint: “Ordinal” sounds like “order” · Examples: · ___________________________ scales are numeric scales in which we know not only the order, but also the differences between the values. · Note: They don’ ...
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Unit analysis notes A1
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