Exst 2201 Final Exam (Revised) Questions & Complete Detailed Solutions (New 2026/2027 Update)

EXST 2201 FINAL EXAM (REVISED)
QUESTIONS & COMPLETE
DETAILED SOLUTIONS (NEW
2026/2027 UPDATE)

This EXST 2201 Final Exam is a newest comprehensive introductory
statistics test covering data distributions, probability, and inference. This
"385 Questions & Answers" set act as foundational study guide,
specifically targeting foundational concepts like the Empirical Rule,
hypothesis testing, linear correlation, and normal curves.
Core Topics Covered in the 385 Questions:
Data Summarization & Shape: Why to check distribution shape
before applying statistics, using the interquartile range (IQR), identifying
median/mode/mean, and evaluating histograms vs. boxplots.
Probability & Normal Curves: Using z-scores, calculating
probabilities under a normal curve, and applying the Empirical Rule.
Hypothesis Testing: Steps to formulate null and alternative
hypotheses, tail tests, and determining statistical significance (alpha).
Linear Regression & Correlation: Interpreting correlation
coefficients, understanding the slope/intercept of a regression line, and
analyzing residuals.
Study Tips for this 385 Q&A Format:
Positional Statistics: Pay close attention to definitions surrounding
resistant statistics (e.g., median) versus efficient statistics (e.g., standard
deviation) and how they handle extreme outliers.
Binomial Events: Review the formulas and characteristics for binomial
experiments, such as defining \(n\) (events) and \(p\) (probability of
success).

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, Quiz_________________?
Why should you always look at a graph to get shape information instead of just
looking at summary numbers for shape? -
Answer
Graphs contain a lot more detail about shape than summary numbers.




Quiz_________________?
How do you find frequency in a column of data values? -
Answer
The number of times a value occurs in a column of data values.




Quiz_________________?
Match the columns in a frequency table with their meaning below. -
Answer
Frequency : The number of times a value occurs.
Relative Frequency : The proportion of times a value occurs.
Cumulative Frequency : A partial sum of the Frequency column.
Cumulative Relative Frequency : A partial sum of the Relative Frequency column.




Quiz_________________?
In the frequency table of 160 data values shown below, what is the relative
frequency for the category Mar (March)? -

2

, Answer
0.1563.




Quiz_________________?
In the frequency table shown below, what are the cumulative frequency and the
cumulative relative frequency for the category Jun? -
Answer
160 and 1.0.




Quiz_________________?
What two characteristics do you look at to analyze the shape of a column of data
values? -
Answer
Overall shape and exceptions.




Quiz_________________?
What type of graph is most appropriate to display the shape of qualitative data? -
Answer
A bar chart, where the bars do not touch each other.




Quiz_________________?


3

, Can any, and all, bar charts be changed into a Pareto chart? -
Answer
Yes, because the categories are not over a real-number-line and can be
rearranged.




Quiz_________________?
What type of graph is most appropriate to display the shape of discrete data? -
Answer
A histogram where the bars do touch each other.




Quiz_________________?
In a histogram for discrete data, what characteristic is plotted on the x-axis and
on the y-axis? -
Answer
The value of the data values, and the frequency of each data value.




Quiz_________________?
What is the major difference between a histogram for continuous data, and a
histogram for discrete data? -
Answer
The data values are grouped into bins.




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