Practice Data (Abstract) in Math

Use these practice problems to test your method after reviewing the concept explanation and worked examples.

Quick Recap

Data is a collection of recorded observations or measurements used to describe, analyze, or make inferences about a phenomenon or population.

Data is raw material for understanding—numbers, words, or categories we collect to answer questions.

Showing a random 20 of 50 problems.

Example 1

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A spreadsheet lists temperatures but some cells are blank. What should an analyst do before computing the mean?

Example 2

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Two datasets answer 'How tall are students?': one lists exact heights, the other lists 'short/medium/tall'. Which supports computing a mean height?

Example 3

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Population vs sample: a researcher measures all 30 students in one class to learn about the class. Is this a population or a sample?

Example 4

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A dataset has 30% of 'income' entries blank. Should you report the mean income?

Example 5

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A survey asks: (1) What is your ZIP code? (2) How many hours do you sleep per night? (3) Rate your satisfaction 1–5. Classify each and identify potential misclassification pitfalls.

Example 6

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A dataset combines heights measured in inches (US branch) and centimeters (EU branch) in one column without labels. Why is this dataset unusable as-is, and what fixes it?

Example 7

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A researcher records survey responses only from people who answered an online ad. What sampling problem is this?

Example 8

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A researcher wants to study average commute time. They survey only people leaving a train station at 8 a.m. Name the data problem and its effect.

Example 9

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Yes/no answers to 'Do you own a pet?' are collected. What type of data is this?

Example 10

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What is the difference between an observation and a variable?

Example 11

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A study finds higher cell-phone use correlates with lower test scores in 7th graders. Does the data show that phones cause lower scores?

Example 12

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A column lists ice cream sales (numeric) per day. Another lists 'season' (winter/spring/summer/fall). Which can you compute an average of?

Example 13

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Sort these into numerical or categorical: (a) ZIP code, (b) number of pets, (c) brand of phone, (d) heart rate (bpm).

Example 14

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A survey asks 'Are you a vegetarian?' and records yes/no. What type of data is this?

Example 15

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A class records each student's favorite fruit (apple, banana, orange). Is this numerical or categorical data?

Example 16

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A dataset of customer reviews contains both star ratings (1-5) and written comments. Which part is numerical and which is text/categorical?

Example 17

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In a data table, each row usually represents one ___.

Example 18

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Zip codes are stored as numbers like 90210. Should they be treated as numerical data for averaging?

Example 19

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A class collects everyone's height in inches but writes some as feet+inches. Why is the dataset hard to analyze before cleaning?

Example 20

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A pollster surveys 20 students out of 600. The 20 are a ___ and the 600 are the ___ .