Unit 5- Activity 1: Comprehensive Study Notes on Categorical Variables
Relationship Between Categorical Variables Overview
Conceptual Framework: This unit focuses on analyzing the connection between two categorical variables using contingency tables. These tables allow for the calculation of probabilities to determine how categories within one variable relate to categories within another.
Mathematical Definitions: * Marginal Probability: The probability of a single categorical outcome based on the total row or column count relative to the grand total. It focuses on one variable at a time (e.g., the total percentage of males in a group regardless of other factors). * Conditional Probability: The probability of an outcome given that another specific condition is already met. This narrows the denominator to a specific row total or column total (e.g., the percentage of females, specifically within the group of highly motivated individuals).
Case Study: Motivation Level and Gender (Slide 8)
Raw Data Table:
Gender | Low Motivation | Medium Motivation | High Motivation | Total |
|---|---|---|---|---|
Female | ||||
Male | ||||
Total |
Analysis and Multiple Choice Questions: * Q1: Percentage of Males (Marginal Probability): * Formula: * Calculation: * Answer: d) * Q2: Percentage of Males reporting High (Conditional Probability): * Formula: * Calculation: , which rounds to * Answer: a) * Q3: Percentage of High Motivated who are Female (Conditional Probability): * Formula: * Calculation: * Answer: b) * Q4: Least common motivation level for both genders: * Comparison of totals: Low (), Medium (), High (). * Answer: c) High
Short Answer Analysis: * Q5: Total Reporting High Motivation: * Q6: Percentage of Overall Medium Motivation (Marginal Probability): * Formula: * Calculation: * Q7: Comparison of Low Motivation Rates: * Female Low Rate: * Male Low Rate: * Comparison: Females have the higher rate of low motivation by approximately .
Case Study: Teachers’ Quality Based on School Type (Slide 13)
Raw Data Table:
School Type | Low Quality | Medium Quality | High Quality | Total |
|---|---|---|---|---|
Private | ||||
Public | ||||
Total |
Calculated Proportions: * a) Percentage of Medium Quality Teachers in Private Schools: * Calculation: * b) Percentage of High Quality Teachers in Public Schools: * Calculation:
Case Study: Laptop Sales per Gender (Slide 15)
Raw Data Table:
Group | PC Sale | Mac Sale | Total |
|---|---|---|---|
Males | |||
Females | |||
Total |
Short Answer Analysis: * a) Percentage of All Sales that are MAC: * Calculation: * c) Percentage of PC Customers who are Male: * Calculation: * d) Percentage of Sales from Female Customers (Marginal Probability): * Calculation: * e) Percentage of MAC Customers who are Female: * Calculation:
Activity: Instagram Users by Age Group (Slide 15/Slide 19)
Raw Data Table:
Age Group | Use Instagram: Yes | Use Instagram: No | Total |
|---|---|---|---|
18—29 | |||
30—49 | |||
50—64 | |||
65+ | |||
Total |
Multiple Choice Questions Analysis: * Q1: Percentage of all respondents who DO NOT use Instagram: * Formula: * Calculation: * Answer: d) * Q2: Percentage of all respondents in the 18–29 age group: * Formula: * Calculation: * Answer: b) * Q3: Percentage of those aged 30–49 who use Instagram: * Formula: * Calculation: * Answer: a) * Q4: Percentage of those aged 65+ who do not use Instagram: * Formula: * Calculation: * Answer: d)
Activity: Commuting and Parking Tickets Case Study
Survey Narrative: In a statistics project, students were surveyed about commuting by car and receiving parking tickets. * Total who commute by car = . From this group, received a ticket. * Total who do not commute by car = . From this group, received a ticket.
Variable Identification: * Explanatory Variable: Commute to school by car (Yes or No). This is the variable that predicts or influences the other. * Response Variable: Whether the student had ever received a parking ticket (Yes or No). This is the outcome variable being measured.
Completed Contingency Table:
Group | Received Ticket: Yes | Received Ticket: No | Total |
|---|---|---|---|
Commute by Car: Yes | (Calculated: ) | ||
Commute by Car: No | (Calculated: ) | ||
Total |