Applied-Probability-and-Statistics Passleader Review - Applied-Probability-and-Statistics Reliable Exam Sims

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

SectionWeightObjectives
Topic 1: Basic Numeracy & Algebra15%- Linear equations, inequalities, graphing functions
- Exponents, roots, and basic formulas
- Arithmetic operations, fractions, decimals, percentages
Topic 2: Descriptive Statistics25%- Graphical displays: histograms, boxplots, scatterplots
- Measures of center: mean, median, mode
- Types of data: categorical, discrete, continuous
- Measures of spread: range, IQR, variance, standard deviation
Topic 3: Probability Concepts20%- Normal distribution and empirical rule
- Conditional probability and Venn diagrams
- Discrete and continuous probability distributions
- Probability rules, independent and dependent events
Topic 4: Correlation & Regression20%- Predictions and limitations of regression
- Simple linear regression models
- Correlation coefficient and interpretation
- Interpreting slope, intercept, and R-squared
Topic 5: Inferential Statistics & Study Design20%- Hypothesis testing framework and interpretation
- Observational studies vs experiments
- Confidence intervals for means/proportions
- Sampling methods and bias

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WGU Applied Probability and Statistics (FZO1 C955) Sample Questions (Q63-Q68):

NEW QUESTION # 63
The table shows the results of a survey of favorite movie genres.

What is the probability of selecting an action and then a comedy respondent if the selection is replaced?

Answer: B

Explanation:
Because the first selection is replaced, the two selections are independent. Replacement means the probability structure returns to its original state after the first respondent is selected. The probability of selecting an action respondent is 30%, or 0.30. The probability of selecting a comedy respondent is 35%, or 0.35. For independent sequential events, multiply the probabilities: 0.30 × 0.35 = 0.105. Converting 0.105 to a percentage gives 10.5%. Therefore, the probability of first selecting an action respondent and then selecting a comedy respondent is 10.5%. Option B does not result from multiplying the two relevant genre percentages.
Options C and D are far too large because they resemble combined or unrelated percentages rather than the probability of a two-step ordered selection. The word "and" signals multiplication, while "replacement" confirms independence between draws. References/topics from the Study Guide: independent events, replacement, multiplication rule, probability with percentages.


NEW QUESTION # 64
A t-distribution is used when:

Answer: D

Explanation:
A t-distribution is used for inference about a population mean when the population standard deviation # is unknown, especially with a small sample. In that situation, the sample standard deviation s must estimate #, creating extra uncertainty. The t-distribution accounts for this added uncertainty with heavier tails than the standard normal distribution. As sample size increases, the t-distribution becomes closer to the normal distribution. Option B describes a z-procedure setting, where # is known and the normal distribution may be used. Option C is incorrect because categorical data are usually analyzed with proportions or chi-square procedures, not t-distributions for means. Option D is incomplete: t-procedures typically require quantitative continuous or approximately continuous data, but the decisive condition in the answer set is unknown # with a small sample. Study Guide references/topics: t-distribution, unknown standard deviation, small samples, inference for means.


NEW QUESTION # 65
Standard deviation measures:

Answer: D

Explanation:
Standard deviation measures how spread out data values are around the mean. A smaller standard deviation indicates that values are clustered closely near the mean, while a larger standard deviation indicates greater variability. Standard deviation is based on deviations from the mean, squared deviations, variance, and then the square root of variance. It is expressed in the original units of measurement, making it easier to interpret than variance. Option B is incorrect because central tendency is measured by statistics such as the mean, median, and mode. Option C is incorrect because probability measures likelihood, not data dispersion. Option D refers to frequency or the number of observations, not their variability. For example, two classes could have the same mean test score but different standard deviations; the class with the larger standard deviation has more varied scores. Study Guide references/topics: standard deviation, variance, spread, descriptive statistics.


NEW QUESTION # 66
The dot plot illustrates the frequency of outdoor games played by students per week.

Which statement is true?

Answer: C

Explanation:
The dot plot shows a distribution centered near 3 days, with substantial frequencies at 2, 3, and 4 days and smaller frequencies at the extremes of 1 and 5 days. This shape is reasonably balanced around the center.
When a distribution is approximately symmetric, the mean and median tend to be close because the lower and higher values balance each other. The median identifies the middle observation after the data are ordered, and the mean represents the balance point of the distribution. Since the tallest stack is near 3 days and the surrounding stacks on 2 and 4 days are comparable, the center of the data is approximately 3 days by both measures. There is no strong skew to pull the mean far above or below the median. Therefore, the best statement is that the mean is almost the same as the median. Options B and C would require clear skew or extreme imbalance, which the dot plot does not show. References/topics from the Study Guide: dot plots, mean, median, distribution shape, symmetry.


NEW QUESTION # 67
Probability of exactly 1 head in 2 coin flips = ?

Answer: D

Explanation:
Two coin flips produce four equally likely ordered outcomes: HH, HT, TH, and TT. Exactly one head occurs in two of these outcomes: HT and TH. Therefore, the probability is 2 favorable outcomes out of 4 total outcomes, or 2/4 = 1/2. This can also be computed using the binomial model. There are n = 2 independent trials, success probability p = 1/2, and exactly one success is required. The binomial calculation is C(2,1)(1/2)