7th grade · Statistics & Probability
Use measures of center and measures of variability for numerical data from random samples to draw informal comparative inferences about two populations. *For example, decide whether the words in a chapter of a seventh-grade science book are generally longer than the words in a chapter of a fourth-grade science book*.
6 interactive, auto-graded activities for 7th grade students practising 7.SP.B.4. Mini Labs put the standard to work in a real scenario; Skill Practice builds fluency on the standard alone. Every one is randomized per student, so each learner gets their own numbers.
Students will analyze five different data sets, each representing a real-life scenario such as weekly attendance or pages read by students. Their task is to calculate the mean, median, mode, range, and interquartile range for each data set, helping them develop essential skills in statistical analysis.
Practice calculating the Mean Absolute Deviation (MAD) of a data set step-by-step—starting from the mean, to absolute deviations, and finally to the MAD value.
Students will analyze four types of graphs: a scatter plot, a histogram, a bar chart, and a line chart. Their task is to interpret the data presented in each graph and answer specific questions related to the information.
In this engaging worksheet, students analyze 8 sports players using real-world data. They calculate mean, median, mode, and range of game stats, then select the best 3 players for their dream team. A fun way to apply statistics in decision-making!
Students analyze test score data from two schools — one using tablets, the other using textbooks — to calculate mean, median, range, and IQR. They compare the distributions using numerical measures and histograms to draw conclusions about student performance.
Students compare the sleep patterns of 7th and 8th graders using real-world data. They calculate mean, median, range, and IQR, then interpret histograms and make informal inferences about group differences. This worksheet supports randomization, so each student may receive different sleep data.
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