Bad Vs. Good Graphs

Histogram:

Identify some characteristics of a histogram. Use a data to make a histogram. Identify the distribution as symmetric or skewed. Identify the number of modes. Give a brief interpretation of the data based on the histogram. Can you tell the difference between histogram and bar graph?

(sample of histogram)

Bad vs. Good Graphs:

Create your own examples of bad vs. good graph representations of data.

Measuring Center – Mean & Median:

Calculate and interpret the measures of the center of a data (ask for one!)—namely the mean and median.

Identify the outlier using 1.5 x IQR rule.

(column 4)

Five-Number Summary & Boxplot:

Use a data to calculate the five-number summary. Then construct a boxplot based on the calculations.

(sample of five-number summary calculations)

(what boxplot summarize)

(sample of boxplot)

(column 5)

A Mini Reference

for

AP Statistics

Mrs. Mullen

Knightdale High School

(cover page)

INSTRUCTIONS

1.This sample brochure will detail the contents required for summarizing chapter 1.

2. It may take longer than two sheets of paper to completely contain all of these materials.

3. A template of this brochure is posted on wiki. You may download the template and use it to guide you.

Deadline: Tuesday, February 3, 2015

Sample Key Vocabulary:

Define the following vocabulary words. You may add additional definitions if you wish.

individuals modes

variable mean

categorical (variable) median

quantitative (variable) quartiles

five-number summary distribution

frequency table boxplot

relative frequency table variance

standard deviation pie chart

bar graph resistance

dotplot time plot

stemplot skewed

histogram symmetric

variability (spread) outliers

shape center

(column 1)

Bar & Pie graphs of Data:

Use a data (ask me for some data samples) to make the following visual representation of the data: bar and pie. Make sure to explain when & how to best use each type of graphs.

(sample of bar graph)

(sample of pie graph)

(column 2)

Dotplot & Stemplot of Data:

Use a data to make the following visual representation of the data: dotplot and stemplot. Describe the overall pattern (shape, center, spread, outliers, etc.)

(sample of stemplot)

(sample of a dotplot)

Standard Deviation:

Use a data to calculate and interpret the measure of spread called standard deviation.

(column 3)