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Practice Quiz: Chart and List Completion

Ace exam challenges with targeted completion questions.

Difficulty: Moderate
Grade: Grade 6
Study OutcomesCheat Sheet
Paper art promoting the Chart Completion Challenge trivia for high school math students.

A table lists values that increase by 3. The first value is 3, the second is 6, the third is missing, and the fourth is 12. Which value best completes the sequence?
7
9
12
10
The sequence increases by 3 each time. After 6, adding 3 gives 9, which naturally fits before 12.
In a bar chart, Day 1 shows 4 books sold, Day 2 shows 6 books sold, Day 4 shows 10 books sold, and Day 3 is missing. Assuming a constant increase of 2 books per day, what is the value for Day 3?
7
9
8
10
The books sold increase by 2 each day. Since Day 2 has 6 books, Day 3 should have 6 + 2 = 8 books.
A chart lists test scores: 80, 85, ?, 95. If the increase between consecutive scores is consistent, what is the missing score?
95
92
90
88
The scores increase by 5 points each time. Adding 5 to 85 yields 90, which fits the sequence evenly.
In a pie chart, three sections are labeled 25%, 35%, and 20%. What percentage best completes the chart?
15%
25%
20%
30%
The percentages of the three sections add up to 80%. To complete the full pie of 100%, the missing section must be 20%.
A table of temperature readings shows: 50°F, 55°F, ?, 65°F. If the readings increase consistently, which temperature fits in the missing spot?
58°F
60°F
62°F
65°F
Each temperature reading increases by 5°F, so the sequence is 50°F, 55°F, 60°F, 65°F. The missing temperature is therefore 60°F.
A chart shows distances traveled over four hours: Hour 1: 30 miles, Hour 2: 45 miles, Hour 3: ?, Hour 4: 75 miles. If the distance increases by a constant 15 miles each hour, what is the distance traveled in Hour 3?
65 miles
55 miles
60 miles
70 miles
Since the increase is 15 miles per hour, Hour 2 is 45 miles so Hour 3 becomes 45 + 15 = 60 miles. This fits the steady progression leading to Hour 4 of 75 miles.
A table displays numbers following a doubling pattern: 2, 4, ?, 16. Which number correctly fits in the blank?
6
10
8
7
Each number in the sequence doubles the previous one. After 4, doubling gives 8, and doubling 8 produces 16.
A chart lists five test scores with one missing: 70, 82, 78, ?, 90. If the average of all scores is 80, what is the missing score?
80
75
88
85
The total sum of five scores should equal 5 × 80 = 400. Adding the known scores (70 + 82 + 78 + 90 = 320) leaves 400 - 320 = 80 for the missing score.
A chart shows the weekly production of a factory: Week 1: 100 units, Week 2: ?, Week 3: 140 units. If production increases by 20 units each week, what is the production in Week 2?
140 units
110 units
120 units
130 units
A consistent weekly increase of 20 units means Week 2 is 100 + 20 = 120 units, which then leads to Week 3 being 120 + 20 = 140 units.
A chart records monthly rainfall: January: 3 inches, February: 4 inches, March: ?, April: 6 inches. Assuming a linear increase, what is the rainfall in March?
4 inches
7 inches
6 inches
5 inches
From January to April the rainfall increases from 3 to 6 inches over three months, an increase of 1 inch per month. Thus, March should record 4 + 1 = 5 inches.
A chart shows the population of a town over decades: 1950: 5,000, 1960: 6,000, 1970: ?, 1980: 8,000. Assuming consistent linear growth, what is the population in 1970?
7,000
6,500
7,500
8,000
The town's population increases by 1,000 every decade: 5,000 to 6,000, then to 7,000, and finally to 8,000. Therefore, the 1970 population is 7,000.
A chart displays weights of packages: 10 kg, ?, 18 kg, 22 kg. If the weights increase uniformly, what is the missing weight?
12 kg
14 kg
18 kg
16 kg
The difference from 10 kg to 22 kg is 12 kg over three intervals, meaning each interval increases by 4 kg. Adding 4 kg to 10 kg gives a missing weight of 14 kg.
A chart displays quarterly profits for a company: Q1: $20,000, Q2: $25,000, Q3: ?, Q4: $35,000. With uniform profit increases each quarter, what is the missing profit for Q3?
$30,000
$34,000
$32,000
$28,000
Given a steady increase of $5,000 per quarter, Q3 is determined by adding $5,000 to Q2's $25,000, resulting in $30,000.
A chart shows distances covered by runners: Day 1: 2 miles, Day 2: ?, Day 3: 6 miles, Day 4: 8 miles. Assuming an arithmetic progression, what is the distance for Day 2?
4 miles
5 miles
6 miles
3 miles
The difference from 2 miles to 6 miles over two intervals is 4 miles, so each interval increases by 2 miles. Thus, Day 2 is 2 + 2 = 4 miles.
A table shows the number of pages in a series of books: 10, 15, 20, ?, 30. Which page count best fits the missing value in the arithmetic sequence?
23
27
25
22
Each book's page count increases by 5, so after 20 pages, the next should be 20 + 5 = 25 pages, fitting the pattern.
In a chart of weekly earnings, the amounts are: $50, $60, $70, ?, $90. What is the missing weekly earning?
$85
$90
$75
$80
Earnings increase by $10 each week. Therefore, following $70, the next earning must be $80 to maintain the regular pattern.
A chart lists puzzle completion times in minutes: 32, 30, ?, 26. Assuming a constant decrease, what is the missing time?
30 minutes
27 minutes
29 minutes
28 minutes
The times decrease by 2 minutes between each measurement. This pattern indicates that after 30 minutes, the time decreases to 28 minutes before reaching 26 minutes.
A line chart shows daily temperatures: 68°F, 70°F, ?, 74°F, 76°F. What is the missing temperature reading?
70°F
76°F
72°F
74°F
With a uniform increase of 2°F between readings, the missing temperature after 70°F should be 70°F + 2°F = 72°F.
A line plot displays the number of customers visiting a store: 50, 55, ?, 65, 70. Which number best completes the data set?
62
60
58
57
The number of customers increases by 5 with each data point. Starting from 50, the series is 50, 55, 60, 65, 70, so the missing number is 60.
A two”column chart shows the ages of participants in a program: Column A lists ages as 12, 14, ?, 18. What age best fits the missing slot assuming an arithmetic progression?
15
17
16
18
The ages increase by 2 years each time. Therefore, after 14 the next age is 14 + 2 = 16, which fits the given progression.
0
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Study Outcomes

  1. Analyze data charts to identify patterns and missing elements.
  2. Apply critical reasoning to select the most appropriate item to complete a chart.
  3. Interpret numerical and categorical data to make informed decisions.
  4. Evaluate multiple-choice options based on chart context and structure.

Quiz: Best Item Completes Chart/List Cheat Sheet

  1. Visualize data distributions - Master the art of representing data with dot plots, histograms, and box plots to see patterns, clusters, and gaps instantly. These visuals make it easy to compare groups and detect skewness or symmetry. Core Standards: Interpreting Categorical and Quantitative Data
  2. Summarize center and spread - Calculate mean and median to find your data's "typical" value, then use interquartile range and standard deviation to gauge variability. Together, these measures give you a snapshot of where data cluster and how much they differ. Core Standards: Interpreting Categorical and Quantitative Data
  3. Spot and handle outliers - Learn how extreme values can skew averages and stretch spreads, then apply rules (like 1.5×IQR) to decide when to investigate or remove them. Managing outliers keeps your analysis honest and meaningful. Core Standards: Interpreting Categorical and Quantitative Data
  4. Analyze categorical data - Build two-way frequency tables to cross‑tabulate variables and compute relative frequencies for each combination. This helps reveal relationships or independence between categories in a clear, organized way. Core Standards: Interpreting Categorical and Quantitative Data
  5. Explore scatter plots - Plot paired data points to visualize how two quantitative variables interact, then look for clusters, trends, and possible outliers. Scatter plots are your go‑to tool for spotting linear and non‑linear relationships. Core Standards: Interpreting Categorical and Quantitative Data
  6. Fit functions to data - Dive into linear, quadratic, and exponential models to see which best describes your scatter plot. Use residuals to measure how well each model captures the pattern and fine-tune your predictions. Core Standards: Interpreting Categorical and Quantitative Data
  7. Interpret slope and intercept - Translate the slope of a linear model into a real‑world rate of change and the intercept into a starting value. This context makes your equations come alive and gives meaning to the math. Core Standards: Interpreting Categorical and Quantitative Data
  8. Compute correlation - Calculate the correlation coefficient to quantify the strength and direction of a linear relationship, and interpret values close to - 1, 0, or +1. This single number speaks volumes about how your variables move together. Core Standards: Interpreting Categorical and Quantitative Data
  9. Distinguish correlation vs. causation - Recognize that a high correlation does not imply one variable causes changes in another, and learn to look for lurking variables and proper experimental design. Avoid the classic "post hoc, ergo propter hoc" trap! Core Standards: Interpreting Categorical and Quantitative Data
  10. Choose the right method - Understand the differences between observational studies, experiments, surveys, and simulations to select appropriate statistical tools. Knowing each method's strengths and limitations ensures your conclusions are valid. NCTM: Data Analysis and Probability
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