A class dataset contains students’ study hours and exam scores. If the question is whether study time is related to exam performance, which identification of the main variables is appropriate?
6 Exploratory Data Analysis Online Quiz Questions
Use this free practice quiz with 20 questions to review 6 Exploratory Data Analysis, test your knowledge, and prepare for your next test or exam.
A scatterplot shows that students who report more study hours tend to have higher exam scores. Does this pattern alone establish that studying more caused the higher scores?
- A
True
- B
False
For a categorical variable, first summarize the in each category. When comparing groups, can also be useful.
A dataset contains one value far outside the range of the other observations. What is the most appropriate first response during data-quality checks?
- A
Delete any observation that lies outside the usual range before making plots.
- B
Replace every unusual value with the variable’s median.
- C
Check whether the unusual value is an error or a genuine case before deciding what to do.
- D
Keep the observation without checking because unusual values are always informative.
You want to examine whether two numerical measurements are associated and check for clusters or unusual points. Enter the name of a suitable display.
You are inspecting a newly loaded dataset before interpreting its summaries. Which checks are appropriate? Select all that apply.
- A
Check for missing values and repeated records.
- B
Assume every column stored as a number measures a numerical quantity.
- C
Check whether category labels are inconsistent.
- D
Check for values that are impossible in context.
If the same data are repeatedly inspected and then used to select a hypothesis, the apparent pattern may be exaggerated.
- A
True
- B
False
A researcher wants to inspect measurements collected over time for trends, seasonality, abrupt changes, or gaps. A suitable display is a .
A team wants to check a single numerical variable for skew and gaps before choosing a summary. Which display is suitable?
- A
Use a histogram to inspect the shape of the numerical distribution.
- B
Use a bar chart because it is the recommended display for every numerical measurement.
- C
Use a contingency table to display the distribution of a single numerical variable.
- D
Use a time plot even when the observations have no meaningful time order.
Which spread measure summarizes the range of the middle half of a numerical dataset?
You are preparing an EDA report for readers who need to understand both the findings and their limitations. Which practices should you use? Select all that apply.
- A
State the question the analysis addresses.
- B
Describe important data limitations.
- C
Present every summary and plot available, whether or not it helps answer the question.
- D
Label axes and units, identify groups, and explain relevant patterns in plain language.
An exploratory scatterplot suggests that students reporting more study hours tend to have higher exam scores. Explain how you would describe this finding and identify checks or further evidence needed before making a stronger claim.
Exam scores are strongly skewed, with a few unusually high scores. Which measure is often more representative of a typical score, and why?
- A
Prefer the mean because it is unaffected by unusually large or small observations.
- B
Consider the median because the mean can be pulled toward unusually large or small values.
- C
Use the range as the only measure of location.
- D
Replace the skewed distribution with category proportions.
When comparing numerical distributions across categorical groups, which display compactly shows the median, quartiles, and potential extreme observations for each group?
A dataset stores course sections as the numbers 1, 2, and 3. Before calculating numerical summaries for this column, what should an analyst do?
- A
Treat it as a numerical measurement because it contains digits.
- B
Check what the code represents before choosing how to summarize it.
- C
Convert every code to a date before analysis.
An analyst wants to explore whether students’ study hours are associated with exam scores. Both variables are numerical. Which display is the best starting point?
- A
Use a scatterplot to inspect the relationship and look for unusual points.
- B
Use a bar chart to compare counts in categories.
- C
Use a time plot, even though neither variable represents time.
A numerical variable has a strongly right-skewed distribution with a few very large observations. Which measure of location is often more representative, and why?
- A
Use the mean because it is unaffected by extreme values.
- B
Use the range because it identifies the typical value.
- C
Use the median because it is often more representative for a skewed distribution.
True or false: If an exploratory plot shows that exam scores tend to rise with study hours, that pattern alone proves that studying more causes higher scores.
- A
True
- B
False
A column uses the values 1, 2, and 3 solely as labels for three course sections. What type of variable does this column represent?
A team wants to examine a numerical measurement collected each week for a year. Which display is most suitable for investigating trends or seasonal patterns over time?
- A
A time plot
- B
A contingency table
- C
A histogram