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BU.920.621 (Data Science - Statistics) Latest Exam Readiness Guide .

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BU.920.621 (Data Science - Statistics) Latest Exam Readiness Guide .BU.920.621 (Data Science - Statistics) Latest Exam Readiness Guide .BU.920.621 (Data Science - Statistics) Latest Exam Readiness Guide .BU.920.621 (Data Science - Statistics) Latest Exam Readiness Guide .

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Uploaded on
October 18, 2024
Number of pages
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Written in
2024/2025
Type
Exam (elaborations)
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BU.920.621



Data Science (Statistics)




LATEST EXAM READINESS
GUIDE
Q&S




©2024/2025

,1. Which statistical test is most appropriate to compare
mean sales before and after a new marketing campaign?
- A) Chi-square test
- B) Paired t-test
- C) ANOVA
- D) Wilcoxon signed-rank test
Answer: B) Paired t-test
Rationale: The paired t-test is used to compare the
means of two related groups, like the same group's sales
before and after a marketing campaign.

2. What is the primary purpose of using a bootstrap
method in statistical analysis?
- A) To parameterize a model
- B) To estimate the distribution of a statistic
- C) To visualize data
- D) To determine causality
Answer: B) To estimate the distribution of a statistic
Rationale: Bootstrapping is used for estimating the
sampling distribution of a statistic by resampling with
replacement.

3. If the p-value of a test is 0.04 after analyzing the
relationship between two variables, what conclusion can be
drawn at the 0.05 significance level?
- A) Fail to reject the null hypothesis
- B) Reject the null hypothesis
- C) Increase the sample size
- D) The test is inconclusive
Answer: B) Reject the null hypothesis
Rationale: Since the p-value is less than 0.05, it provides
©2024/2025

, enough statistical evidence to reject the null hypothesis.

4. Which measure is commonly used to determine the
effectiveness of a linear regression model?
- A) Mean
- B) Median
- C) R-squared
- D) Mode
Answer: C) R-squared
Rationale: R-squared indicates the proportion of the
variance in the dependent variable that is predictable from
the independent variable(s).

5. Which concept explains the risk of falsely identifying a
pattern in data visualization due to testing multiple
hypotheses?
- A) Overfitting
- B) Simpson's Paradox
- C) P-hacking
- D) Type II error
Answer: C) P-hacking
Rationale: P-hacking involves manipulating data and
analytical methods until non-significant results become
significant, thus identifying patterns that do not exist.

### Fill-in-the-Blank

6. The central limit theorem states that the distribution of
sample means approaches a __________ distribution as
the sample size increases, regardless of the shape of the
population distribution.
Answer: normal
Rationale: The central limit theorem states that the mean
©2024/2025

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Hi, I'm a former nursing student who loves to share my knowledge and help others succeed. On this account, you'll find my past study notes and papers for nursing and other programs that I've taken or reviewed. They are high-quality, well-organized and easy to understand. Whether you need a quick refresher, a detailed explanation or a sample essay, I've got you covered. Plus, they are all infused with my sense of humor and personality, so you won't get bored while studying. Trust me, you'll be glad you bought them!

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