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| Section | Objectives |
|---|---|
| Topic 1: Decision Making Models | - Risk and uncertainty in decision-making - Decision trees and expected value analysis |
| Topic 2: Data Fundamentals and Business Analytics | - Data types and data collection methods - Descriptive statistics (mean, median, variance, standard deviation) |
| Topic 3: Hypothesis Testing | - Null and alternative hypotheses - t-tests, chi-square tests, and significance testing |
| Topic 4: Regression and Correlation Analysis | - Linear regression modeling - Interpreting correlation and causation |
| Topic 5: Probability and Statistical Inference | - Probability concepts and distributions - Sampling methods and sampling error |
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NEW QUESTION # 98
What does prevalence measure when studying disease frequency?
Answer: D
Explanation:
Prevalence measures all existing cases of a disease within a population at a given point in time or over a specified period. It includes both newly diagnosed cases and pre-existing cases that are still present. This makes prevalence a measure of the total disease burden in the population rather than a measure of the rate at which new cases arise. In public health and epidemiology, prevalence is especially useful for understanding how widespread a condition is and for planning healthcare services, allocating resources, and evaluating community health needs. It differs from incidence, which focuses only on new cases occurring during a specified time period. Because the question asks what prevalence measures, the correct answer is the one that captures all current cases, not just past or new ones. It also does not refer to potential future cases, since prevalence is based on observed disease status. Therefore, the best answer is all existing cases of a disease.
NEW QUESTION # 99
In an experimental study, researchers are testing a new flea preventive medication on dogs using a blind study. Dogs are treated with the new medication or with a placebo.
Who should know which dogs are given the medication or the placebo for this blind study?
Answer: C
Explanation:
In ablind study, the purpose is to reduce bias that may influence responses or outcomes. In data-driven decision making, a blind study is designed so thatsubjects and response gatherers do not knowwhich treatment is administered, while the researchers do retain this information to correctly manage and analyze the experiment.
In this scenario, dog owners and response gatherers should not know whether the dogs received the medication or a placebo, as this knowledge could influence reporting of outcomes or observations. However, researchers must know which treatment each dog receives to ensure proper administration, monitoring, and statistical analysis.
If neither researchers nor participants knew the assignments, the study would be classified as adouble-blind study, which is not stated here. Allowing owners or response gatherers to know treatment assignments would introduce bias and undermine experimental validity.
Therefore, in a blind study,only the researchersshould know which dogs received the medication or placebo, making optionCthe correct answer.
NEW QUESTION # 100
Which distribution would have a mean and median that are approximately equal after an analysis of each employee's number of customer service calls over the last month?
Answer: C
Explanation:
In anormal distribution, data is symmetrically distributed around the center, causing the mean and median to be approximately equal. This is a fundamental property emphasized in data-driven decision making.
Skewed distributions, such as Pareto, cause the mean and median to differ significantly. Therefore, the correct answer isA.
NEW QUESTION # 101
How is a cause-and-effect diagram used?
Answer: C
Explanation:
A cause-and-effect diagram, also known as an Ishikawa diagram or fishbone diagram, is used to brainstorm and organize possible root causes of a problem. It helps teams think systematically about why a problem may be occurring by grouping causes into logical categories such as methods, materials, people, equipment, and environment. In the scenario given, an intermittency problem suggests an issue that happens irregularly and may be difficult to isolate, which makes a cause-and-effect diagram especially useful. Its purpose is not to assign blame but to support structured problem-solving and root cause analysis. It is also not a financial risk tool or an automated software diagram generator. In quality management and data-driven improvement, this diagram encourages teams to explore multiple contributing factors before deciding on corrective action.
Therefore, the correct answer is that it is used to brainstorm possible root causes for an intermittency problem.
NEW QUESTION # 102
A political ballot gives voters the option to vote for one of three candidates. Eight voters cast their ballots.
Which statistical rule should be used to determine the possible voting outcomes?
Answer: C
Explanation:
Themultiplication principleis used to determine the number of possible outcomes when multiple independent choices occur in sequence. In data-driven decision making and probability theory, this rule applies when each event has a fixed number of outcomes and each outcome is independent of the others.
In this scenario, each of the eight voters can independently choose one of three candidates. The total number of possible voting outcomes is calculated by multiplying the number of choices available for each voter.
Because the voters act independently and order matters in counting outcomes, the multiplication principle is the correct method.
Conditional probability applies when outcomes depend on prior events, Bayes' theorem updates probabilities based on new information, and combinations are used when order does not matter. None of these fit the structure of this problem.
Therefore, the correct answer isA, multiplication principle.
NEW QUESTION # 103
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