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WGU Applied-Probability-and-Statistics Exam Syllabus Topics:
| Section | Objectives |
| Statistical Inference | - Hypothesis Testing (Introductory Level)
- 1. Null vs alternative hypothesis
- 2. p-values interpretation
- Estimation and Confidence Intervals
- 1. Point estimates
- 2. Confidence interval interpretation
|
| Regression and Modeling | - Linear Relationships
- 1. Slope and intercept interpretation
- 2. Simple linear regression
|
| Probability Theory | - Probability Distributions
- 1. Normal distribution
- 2. Binomial distribution basics
- Fundamental Probability Concepts
- 1. Conditional probability
- 2. Independent vs dependent events
- 3. Basic probability rules
|
| Descriptive Statistics | - Two Variable Data Analysis
- 1. Outliers and relationships
- 2. Scatter plots interpretation
- 3. Correlation
- Single Variable Data Analysis
- 1. Measures of dispersion (variance, standard deviation, range)
- 2. Data visualization (histograms, box plots)
- 3. Measures of central tendency (mean, median, mode)
|
WGU Applied Probability and Statistics (FZO1 C955) Sample Questions:
1. Expected value = ?
A) Long-term average
B) Mode
C) Median
D) 0
2. Standard deviation increases #
A) Data closer
B) Data more spread out
C) Variance decreases
D) Mean increases
3. In a city's public transportation system, the distribution of commuters by mode of transport is as follows: 40% use buses, 25% use trains, 20% use bicycles, 10% walk, and 5% use other means of transportation.
What is the probability that a randomly selected commuter uses either a bus or a train?
A) 30%
B) 50%
C) 45%
D) 65%
4. Poisson used for:
A) Rare events per interval
B) Continuous data
C) Categorical data
D) Success/failure trials
5. Two independent events: P(A and B) = ?
A) 1
B) 0
C) P(A) × P(B)
D) P(A) + P(B)
Solutions:
Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: D | Question # 4 Answer: A | Question # 5 Answer: C |