Slopes
When comparing average commute times by car vs public transportation within one city, what method ensures independence between samples?
Randomly selecting commuters using cars separately from those using public transportation avoids overlap between groups.
Averaging commute times from a sample of car commuters and comparing it to the average commute time of a sample of public transportation commuters.
Comparing the fastest commute time by car to the fastest commute time by public transportation.
Asking car commuters and public transportation commuters to report their average commute times.
If a linear regression model has a residual plot with increasing variability as the predicted values increase, which transformation of the response variable could potentially correct this heteroscedasticity?
A logarithmic transformation of the response variable.
A square root transformation of the predictor variable.
Adding a constant to each value of the response variable.
A reciprocal transformation of both variables.
If researchers want to compare median survival times across more than two groups, what non-parametric statistical test should they use given censored data is present?
Wilcoxon signed-rank test
Kruskal-Wallis H test
Log-rank test
Mann-Whitney U test
What statistical measure describes how far away each data point tends to be from the mean?
Median
Mode
Range
Standard deviation
In a blind taste-test experiment comparing four brands of cola, how can experimenters reduce variability unrelated to cola preference?
Conducting all tastings at room temperature rather than serving some cold and others warm increases consistency in testing conditions.
Allowing participants unlimited sips until they feel confident identifying their preferred cola introduces inconsistent sampling sizes across trials.
Providing information about each brand's sales statistics prior to tasting allows participants' preconceived notions affect their choice.
Assigning identical cups with no brand labels ensures that visual cues do not influence preferences.
In assessing the relationship between hours studied per week (continuous) and final exam score (continuous), what would be the most appropriate method to determine if there exists a significant predictive relationship?
Simple linear regression analysis
Pearson's correlation coefficient
One-way ANOVA
Chi-square goodness-of-fit test
In a set of data examining test scores from multiple classrooms, what does a small standard deviation signify about student performance?
There was a larger range of scores suggesting greater differences in student understanding.
The highest and lowest test scores were more extreme than in other datasets.
Students had widely varied test scores far from the classroom mean score.
Student scores were closer to the mean, indicating more uniform performance across individuals.

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Why would using matched pairs be advantageous in an experiment comparing two treatments for plant growth over completely randomized designs?
For every pair, one unit receives both treatments simultaneously allowing immediate comparison of effects.
By matching pairs based on specific characteristics, it eliminates all forms of bias from creeping into experiments.
Matched pairs require fewer subjects overall, reducing costs dramatically compared to other methods.
It controls better for variation between subjects by pairing similar units before applying treatments.
Which type of non-random sampling method relies on collecting information from respondents who are readily available to participate?
Convenience sampling
Simple random sample
Stratified random sample
Snowball sample
In considering patterns within time series plots, what feature might flag an unusual observation?
Inconsistent variation throughout different periods.
A sudden departure from an established trend over time.
An overall increasing trend across all time periods observed.
A slight fluctuation around a stable mean level over time.