# 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.