In this Grade 6 lesson from Saxon Math, Course 1, students learn how to read and create frequency tables and histograms, including how to organize data into intervals and interpret bar heights. The lesson also introduces surveys, covering key concepts such as population, sample, and closed-option surveys, with real-world examples involving test scores and favorite sports. Students practice representing and analyzing data across all three formats to draw conclusions about larger groups.
Section 1
📘 Data Analysis: Frequency Tables & Histograms
A frequency table organizes data by counting how often values appear within specific intervals. A histogram is a special bar graph that visually displays this data.
This is just the foundation. Next, you'll walk through examples of building and interpreting these tools, and then see how they apply to surveys.
Section 2
Frequency table
A frequency table is a way of pairing selected data, in this case specified test scores, with the number of times the selected data occur.
Think of a frequency table as a super-organized scorecard for data. Instead of a messy pile of numbers, you create groups (like test score ranges) and use tally marks to track how many fall into each group. It's like being a detective, sorting clues into neat piles to see which pile is biggest! It quickly shows you what's common.
Section 3
Histogram
A histogram is a special type of bar graph. This histogram displays the data (test scores) in equal-size intervals (ranges of scores). There are no spaces between the bars.
A histogram is like a city skyline for your data! Each building represents a group of numbers (an interval), and its height shows how many data points are in that group. Unlike regular bar graphs, the buildings in a histogram are always touching, showing that the data flows from one group to the next without any gaps in between.
Section 4
Survey
A survey is a way of collecting data about a population. Rather than collecting data from every member of a population, a survey might focus on only a small part of the population called a sample.
A survey is like tasting a tiny spoonful of soup to know if the whole pot is delicious. You can't ask everyone in the country their favorite ice cream, so you ask a smaller group (a sample) instead. By studying the sample's answers, you can make a pretty good guess about what the entire population thinks without doing all that work!
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Section 1
📘 Data Analysis: Frequency Tables & Histograms
A frequency table organizes data by counting how often values appear within specific intervals. A histogram is a special bar graph that visually displays this data.
This is just the foundation. Next, you'll walk through examples of building and interpreting these tools, and then see how they apply to surveys.
Section 2
Frequency table
A frequency table is a way of pairing selected data, in this case specified test scores, with the number of times the selected data occur.
Think of a frequency table as a super-organized scorecard for data. Instead of a messy pile of numbers, you create groups (like test score ranges) and use tally marks to track how many fall into each group. It's like being a detective, sorting clues into neat piles to see which pile is biggest! It quickly shows you what's common.
Section 3
Histogram
A histogram is a special type of bar graph. This histogram displays the data (test scores) in equal-size intervals (ranges of scores). There are no spaces between the bars.
A histogram is like a city skyline for your data! Each building represents a group of numbers (an interval), and its height shows how many data points are in that group. Unlike regular bar graphs, the buildings in a histogram are always touching, showing that the data flows from one group to the next without any gaps in between.
Section 4
Survey
A survey is a way of collecting data about a population. Rather than collecting data from every member of a population, a survey might focus on only a small part of the population called a sample.
A survey is like tasting a tiny spoonful of soup to know if the whole pot is delicious. You can't ask everyone in the country their favorite ice cream, so you ask a smaller group (a sample) instead. By studying the sample's answers, you can make a pretty good guess about what the entire population thinks without doing all that work!
Book overview
Jump across lessons in the current chapter without opening the full course modal.
Continue this chapter