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WGU Applied-Probability-and-Statistics Exam Syllabus Topics:

SectionWeightObjectives
Probability Concepts20%- Discrete and continuous probability distributions
- Normal distribution and empirical rule
- Probability rules, independent and dependent events
- Conditional probability and Venn diagrams
Descriptive Statistics25%- Measures of center: mean, median, mode
- Graphical displays: histograms, boxplots, scatterplots
- Measures of spread: range, IQR, variance, standard deviation
- Types of data: categorical, discrete, continuous
Basic Numeracy & Algebra15%- Linear equations, inequalities, graphing functions
- Arithmetic operations, fractions, decimals, percentages
- Exponents, roots, and basic formulas
Inferential Statistics & Study Design20%- Observational studies vs experiments
- Hypothesis testing framework and interpretation
- Sampling methods and bias
- Confidence intervals for means/proportions
Correlation & Regression20%- Predictions and limitations of regression
- Simple linear regression models
- Interpreting slope, intercept, and R-squared
- Correlation coefficient and interpretation

WGU Applied Probability and Statistics (FZO1 C955) Sample Questions:

Poisson distribution mean = ?

  • A. Variance
  • B. 1
  • C. #
  • D. 0
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Explanation: Only visible for NewPassLeader members. You can sign-up / login (it's free).

A person has a .5 probability of taking a train to work, a .3 probability of carpooling, and a .2 probability of walking. The probability of being late is .2 when taking the train, .1 when carpooling, and .05 when walking.
What is the probability of taking the train and being on time, or walking and being on time?

  • A. .4
  • B. .59
  • C. .45
  • D. .3
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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A class of 25 students includes 10 who play soccer, 8 who play basketball, and 7 who play neither sport.
What is the probability of randomly selecting a student who does not play soccer?

  • A. .30
  • B. .60
  • C. .40
  • D. .50
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Two independent events: P(A and B) = ?

  • A. P(A) × P(B)
  • B. 1
  • C. 0
  • D. P(A) + P(B)
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Central limit theorem states:

  • A. Sample mean ~ normal for large n
  • B. SE = 0
  • C. Sample variance = population variance
  • D. Population must be normal
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Explanation: Only visible for NewPassLeader members. You can sign-up / login (it's free).

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