If you're seeing this message, it means we're having trouble loading external resources on our website.

If you're behind a web filter, please make sure that the domains *.kastatic.org and *.kasandbox.org are unblocked.

To log in and use all the features of Khan Academy, please enable JavaScript in your browser.

Common Core MathK - 8
High School

Statistics & Probability: Interpreting Categorical and Quantitative Data
1196 questions12 skills

HSS-ID.A.1

30 questions1 skill

Represent data with plots on the real number line (dot plots, histograms, and box plots).

Interpreting and comparing data distributions

HSS-ID.A.2

30 questions1 skill

Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets.

Interpreting and comparing data distributions

HSS-ID.A.3

30 questions1 skill

Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).

Interpreting and comparing data distributions

HSS-ID.A.4

800 questions4 skills

Use the mean and standard deviation of a data set to fit it to a normal distribution and to estimate population percentages. Recognize that there are data sets for which such a procedure is not appropriate. Use calculators, spreadsheets, and tables to estimate areas under the normal curve.

HSS-ID.B.5

30 questions1 skill

Summarize categorical data for two categories in two-way frequency tables. Interpret relative frequencies in the context of the data (including joint, marginal, and conditional relative frequencies). Recognize possible associations and trends in the data.

Trends in categorical data

HSS-ID.B.6

286 questions4 skills

Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.

Analyzing residuals

Estimating the line of best fit

Fitting quadratic and exponential functions to scatter plots

Linear models of bivariate data

HSS-ID.B.6a

56 questions2 skills

Fit a function to the data; use functions fitted to data to solve problems in the context of the data. Use given functions or choose a function suggested by the context. Emphasize linear, quadratic, and exponential models.

Fitting quadratic and exponential functions to scatter plots

Linear models of bivariate data

HSS-ID.B.6b

30 questions1 skill

Informally assess the fit of a function by plotting and analyzing residuals.

Analyzing residuals

HSS-ID.B.6c

256 questions3 skills

Fit a linear function for a scatter plot that suggests a linear association.

Estimating the line of best fit

Fitting quadratic and exponential functions to scatter plots

Linear models of bivariate data

HSS-ID.C.7

46 questions2 skills

Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data.

Correlation coefficients for linear fits

Linear models of bivariate data

HSS-ID.C.8

20 questions1 skill

Compute (using technology) and interpret the correlation coefficient of a linear fit.

Correlation coefficients for linear fits

HSS-ID.C.9

30 questions1 skill

Distinguish between correlation and causation.

Types of statistical studies