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Please visit the Google Classroom for HW Assignments
Graded Quick Check on Histograms Friday, 9/6
Chapter 1 - Exploring Data
Topics in Chapter 1 - Exploring Data
Classify variables as categorical or quantitative.
Display categorical data with a bar graph. Decide if it would be appropriate to make a pie chart.
Identify what makes some graphs of categorical data deceptive. Calculate and display the marginal distribution of a categorical variable from a two-way table.
Calculate and display the conditional distribution of a categorical variable for a particular value of the other categorical variable in a two-way table.
Describe the association between two categorical variables by comparing appropriate conditional distributions.
Make and interpret dotplots and stemplots of quantitative data. Describe the overall pattern (shape, center, and spread) of a distribution and identify any major departures from the pattern (outliers).
Identify the shape of a distribution from a graph as roughly symmetric or skewed.
Make and interpret histograms of quantitative data.
Compare distributions of quantitative data using dotplots, stemplots, or histograms. Calculate measures of center (mean, median).
Calculate and interpret measures of spread (range, IQR, standard deviation).
Choose the most appropriate measure of center and spread in a given setting.
Identify outliers using the 1.5 x IQR rule.
Make and interpret boxplots of quantitative data.
Use appropriate graphs and numerical summaries to compare distributions of quantitative variables.
**All bold concepts have already been covered in class.
**You are expected to be able to answer ALL problems in the textbook (not just those assigned). Use the unassigned problems as practice for the test.
Reread the textbook Ch1 (if it's in the textbook, you are responsible for it)
Make a reference sheet for Ch1 (one sheet of paper with all facts covered in Ch1)
Do lots of practice problems (do ALL of the problems and examples in Ch1... see Ms. Tecce for correct answers to evens)
Watch videos and try exercises on Khan Academy that are relevant to our topics