BESC 3010 Final Exam Questions and Answers | Latest Update | 2024/2025 | Already Passed
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Module
BESC 3010
Institution
BESC 3010
BESC 3010 Final Exam Questions and
Answers | Latest Update | 2024/2025 |
Already Passed
What is a potential pitfall of relying solely on statistical significance?
Relying solely on statistical significance can be misleading; it does not convey the practical
significance of results or the s...
BESC 3010 Final Exam Questions and
Answers | Latest Update | 2024/2025 |
Already Passed
What is a potential pitfall of relying solely on statistical significance?
✔✔Relying solely on statistical significance can be misleading; it does not convey the practical
significance of results or the size of the effect, which are equally important for interpretation.
How does bootstrapping enhance statistical inference?
✔✔Bootstrapping involves resampling with replacement from a dataset to create a distribution of
a statistic, allowing for estimation of confidence intervals and assessing the variability of
estimates without normality assumptions.
What is the purpose of a paired t-test, and when should it be used?
✔✔A paired t-test compares the means of two related groups, such as measurements before and
after a treatment, to determine if there is a statistically significant difference between them.
How can stratified sampling improve research outcomes?
✔✔Stratified sampling ensures that subgroups within a population are adequately represented in
the sample, increasing the precision of estimates and enhancing the generalizability of results.
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,What does it mean if a distribution is leptokurtic?
✔✔A leptokurtic distribution has a higher peak and fatter tails than a normal distribution,
indicating a higher likelihood of extreme values and a concentration of data around the mean.
What is the purpose of a control chart in quality control?
✔✔A control chart monitors a process over time, helping to detect variations and maintain
consistent quality by distinguishing between normal variations and signals of potential issues.
What is the importance of understanding variability in a dataset?
✔✔Understanding variability helps researchers assess the spread of data points and the degree to
which they differ from the mean, which is essential for drawing accurate conclusions.
How do you define a sampling distribution?
✔✔A sampling distribution is the probability distribution of a statistic (like the sample mean)
that is formed when taking many samples from a population, helping to understand the behavior
of sample statistics.
What does the term "margin of error" refer to in survey results?
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, ✔✔The margin of error indicates the range within which the true population parameter is
expected to fall, providing a measure of the uncertainty associated with survey estimates.
How does one interpret a chi-square test result?
✔✔A chi-square test result indicates whether there is a significant association between
categorical variables; a higher chi-square value suggests a stronger relationship.
What is the role of the F-test in comparing variances?
✔✔The F-test assesses whether two populations have different variances, helping to determine if
data from different sources can be pooled for analysis.
What is a key characteristic of non-parametric tests?
✔✔Non-parametric tests do not assume a specific distribution for the data, making them useful
for analyzing data that do not meet the assumptions of parametric tests.
What is the purpose of using a post-hoc test after ANOVA?
✔✔Post-hoc tests are conducted after ANOVA to determine which specific group means are
significantly different from each other, providing more detailed insights into the data.
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