Stats - Section 2.1 Quiz

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A set of practice questions (Question and Answer style) covering descriptive statistics for one and two categorical variables, as well as related visualizations and examples from the lecture notes.

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21 Terms

1
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What is Descriptive Statistics (also known as exploratory data analysis)?

Methods to summarize and visualize data; the choice of summaries/visualizations depends on whether variables are categorical or quantitative.

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What are the two broad variable types considered in descriptive statistics?

Categorical and quantitative (numerical) variables.

3
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For one categorical variable, what are the main summary statistics?

Proportion, frequency table, and relative frequency table.

4
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For one categorical variable, what visualizations are typically used?

Bar chart and pie chart.

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What is a frequency table?

A table that shows the number of cases in each category.

6
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What is a proportion in a category?

The proportion is the count in that category divided by the total; for samples use p-hat, for populations use p.

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What is a relative frequency table?

A table showing the proportion of cases in each category; the numbers sum to 1.

8
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In the Water Preferences data, what is the total number of observations used to compute the relative frequencies?

100 (the counts 10, 25, 41, and 24 sum to 100).

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What is a bar chart as used in one categorical variable analysis?

A chart where the height of each bar represents the number (or proportion) of cases in that category.

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What is a pie chart as used in one categorical variable analysis?

A chart where each slice’s relative area represents the category’s proportion.

11
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What is a two-way table?

A table that displays counts for combinations of two categorical variables; it doesn’t matter which variable is in rows or columns.

12
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What is a difference in proportions?

The difference between two proportions calculated for different levels of the other categorical variable (e.g., proportion of females in a relationship minus proportion of males in a relationship).

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How is the difference in proportions computed in the example with relationship status?

Difference = (proportion of females in a relationship) − (proportion of males in a relationship); numerically, 32/42 − 63/108 = 0.762 − 0.583 = 0.179.

14
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What is a side-by-side bar chart?

A visualization where bars for the two categories are displayed side by side for comparison.

15
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What is a segmented (stacked) bar chart?

A bar chart where each bar is segmented (stacked) to show the distribution within the categories.

16
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What are the two categorical variables used in the university students example?

Relationship status and gender.

17
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In the Vitamin D injections study, what are the two categorical variables?

Type of vitamin D injection (Calcitriol vs Paricalcitol) and survival outcome (Survived vs Died).

18
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What do p-hat and p represent in proportions?

p-hat is the proportion estimated from a sample; p is the population proportion.

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What is the difference between Descriptive Statistics and Inferential Statistics?

Descriptive Statistics summarize and visualize data; Inferential Statistics draw conclusions about a population from a sample.

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Does it matter which variable is displayed in the rows or columns of a two-way table?

No; it does not matter which variable is in rows or columns.

21
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What is a two-way table’s total in the provided example (the sex and relationship status data)?

169.