Alg1.1 One-variable Statistics

Lesson 1

  • I can tell statistical questions from non-statistical questions and can explain the difference.
  • I can tell the difference between numerical and categorical data.

Lesson 2

  • I can find the five-number summary for data.
  • I can use a dot plot, histogram, or box plot to represent data.

Lesson 3

  • I can graphically represent the data I collected and critique the representations of others.

Lesson 4

  • I can describe the shape of a distribution using the terms "symmetric, skewed, uniform, bimodal, and bell-shaped."
  • I can use a graphical representation of data to suggest a situation that produced the data pictured.

Lesson 5

  • I can calculate mean absolute deviation, interquartile range, mean, and median for a set of data.

Lesson 6

  • I can determine basic relationships between cell values in a spreadsheet by changing the values and noticing what happens in another cell.

Lesson 7

  • I can use a spreadsheet as a calculator to find solutions to word problems.

Lesson 8

  • I can use shortcuts to fill in cells on a spreadsheet.

Lesson 9

  • I can create graphic representations of data and calculate statistics using technology.

Lesson 10

  • I can describe how an extreme value will affect the mean and median.
  • I can use the shape of a distribution to compare the mean and median.

Lesson 11

  • I can arrange data sets in order of variability given graphic representations.

Lesson 12

  • I can describe standard deviation as a measure of variability.
  • I can use technology to compute standard deviation.

Lesson 13

  • I can use standard deviation to say something about a situation.

Lesson 14

  • I can find values that are outliers, investigate their source, and figure out what to do with them.
  • I can tell how an outlier will impact mean, median, IQR, or standard deviation.

Lesson 15

  • I can compare and contrast situations using measures of center and measures of variability.

Lesson 16

  • I can collect data from an experiment and compare the results using measures of center and measures of variability.