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WGU C955 Final Exam Study Guide: Descriptive Statistics & Probability | Actual Study with complete Solutions | 2026 Updates | 100% correct

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WGU C955 Final Exam Study Guide: Descriptive Statistics & Probability | Actual Study with complete Solutions | 2026 Updates | 100% correct

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lOMoAR cPSD| 61371432




WGU C955 Final Exam Study Guide: Descriptive Statistics
& Probability | Actual Study with complete Solutions |
2026 Updates | 100% correct




📈
Applied Probability and
Statistics
Created May 14, 2025 329 PM


Class C955 Applied Probability and Statistics

Descriptive Statistics for a Single Variable
🎯 Learning Objectives
By the end of this module, you should be able to:

Apply the standard deviation (empirical) rule

Choose appropriate statistical measures

Calculate and interpret mean, median, mode, quartiles, range, IQR, and standard
deviation

Describe data distributions in context

Use and interpret various graphs for categorical and quantitative data

, lOMoAR cPSD| 61371432




📊 Types of Data
Quantitative Numeric values (e.g., salaries, height)

Categorical Group labels (e.g., job titles, zip codes)


📈 Graphical Displays For

Categorical Data:

Bar Charts Compare category frequencies Pie

Charts Show proportions of a whole For

Quantitative Data:

Dot Plots Display individual data points

Stem-and-Leaf Plots Show distribution by place value, shows both the shape of the
data and individual data points

Histograms Show frequency over intervals, used for continuous data

Box Plots Summarize spread using quartiles, good for including outliers


🧮 Measures of Center
Mean Average (use when data is symmetric)

Median Middle value (use when data is skewed) (middle value of graph) Mode Most

frequent value (can have multiple) (peak of the graph)


📏 Measures of Spread
Range Max  Min

Interquartile Range IQR Q3  Q1 (shows middle 50%

Standard Deviation Average distance from the mean (for symmetric data)




Applied Probability and Statistics 2

, lOMoAR cPSD| 61371432




📐 Describing Distributions
Symmetric Bell-shaped or uniform

Skewed Left Negatively Skewed)  Tail on left, Mean  Median  Mode

Skewed Right Positively Skewed) Tail on right, Mode  Median  Mean Bimodal or

Multimodal Multiple peaks


📉 Empirical (Standard Deviation) Rule
For normal distributions:




68% of data within 1 SD of the mean 95%

within 2 SDs

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