MinnesotaMinnesota High School Statistics Curriculum
Video lessons and practice for every high school Statistics topic. Aligned to Minnesota Academic Standards Math for Minnesota students.
Minnesota High School Statistics Curriculum | StudyPugHelp
ID | Standard | StudyPug Topic |
|---|---|---|
CC.HSS.ID.A.1 | Represent data with plots on the real number line (dot plots, histograms, and box plots). |
CC.HSS.ID.A.2 | 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. |
CC.HSS.ID.A.3 | Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers). |
CC.HSS.ID.A.4 | 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. |
CC.HSS.ID.B.5 | 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. |
CC.HSS.ID.B.6 | Represent data on two quantitative variables on a scatter plot, and describe how the variables are related. |
CC.HSS.IC.A.1 | Understand statistics as a process for making inferences about population parameters based on a random sample from that population. |
CC.HSS.IC.A.2 | Decide if a specified model is consistent with results from a given data-generating process, e.g., using simulation. |
CC.HSS.IC.B.3 | Recognize the purposes of and differences among sample surveys, experiments, and observational studies; explain how randomization relates to each. |
CC.HSS.IC.B.4 | Use data from a sample survey to estimate a population mean or proportion; develop a margin of error through the use of simulation models for random sampling. |
CC.HSS.IC.B.5 | Use data from a randomized experiment to compare two treatments; use simulations to decide if differences between parameters are significant. |
CC.HSS.IC.B.6 | Evaluate reports based on data. |
CC.HSS.CP.A.2 | Understand that two events A and B are independent if the probability of A and B occurring together is the product of their probabilities, and use this characterization to determine if they are independent. |
CC.HSS.CP.A.3 | Understand the conditional probability of A given B as P(A and B)/P(B), and interpret independence of A and B as saying that the conditional probability of A given B is the same as the probability of A, and the conditional probability of B given A is the same as the probability of B. |
CC.HSS.CP.A.5 | Recognize and explain the concepts of conditional probability and independence in everyday language and everyday situations. |
CC.HSS.CP.B.7 | Apply the Addition Rule, P(A or B) = P(A) + P(B) - P(A and B), and interpret the answer in terms of the model. |
CC.HSS.CP.B.9 | Use permutations and combinations to compute probabilities of compound events and solve problems. |
CC.HSS.MD.A.1 | Define a random variable for a quantity of interest by assigning a numerical value to each event in a sample space; graph the corresponding probability distribution using the same graphical displays as for data distributions. |
CC.HSS.MD.A.2 | Calculate the expected value of a random variable; interpret it as the mean of the probability distribution. |
CC.HSS.MD.A.3 | Develop a probability distribution for a random variable defined for a sample space in which theoretical probabilities can be calculated; find the expected value. |
CC.HSS.MD.B.7 | Analyze decisions and strategies using probability concepts (e.g., product testing, medical testing, pulling a hockey goalie at the end of a game). |
High School Statistics in Minnesota
Minnesota high school Statistics covers a wide range of topics that prepare students for college-level math and real-world data analysis. The course follows Minnesota Academic Standards Math, giving students the skills to work with data, interpret results, and apply probability in everyday situations.
Data Analysis and Distributions
Students learn to represent data using dot plots, histograms, and box plots. They compare data sets by analyzing center (mean and median) and spread (interquartile range and standard deviation), and interpret the effects of outliers. The normal distribution is introduced as a tool for estimating population percentages.
- Dot plots, histograms, and box plots
- Mean, median, interquartile range, and standard deviation
- Normal distribution and area under the curve
- Two-way frequency tables and relative frequencies
Correlation, Regression, and Causation
Students explore relationships between two quantitative variables using scatter plots, compute correlation coefficients, and learn to distinguish between correlation and causation — a critical skill for evaluating real-world data claims.
Statistical Inference and Sampling
The course introduces statistics as a process for making inferences about populations from random samples. Students study sample surveys, experiments, and observational studies, and use simulation models to estimate margins of error and evaluate the significance of results.
- Random sampling and population estimates
- Margin of error through simulation
- Comparing two treatments from randomized experiments
- Evaluating data reports critically
Probability
Students work with independent and conditional probability, two-way frequency tables, the Addition Rule, and the general Multiplication Rule. Permutations and combinations are used to calculate probabilities of compound events.
Random Variables and Expected Value
The final major topic covers random variables, probability distributions, and expected value. Students apply these concepts to real decisions — from product testing to analyzing strategies — using probability to make fair and informed choices.
StudyPug has video lessons and practice problems for every one of these topics, so Minnesota students can get help the moment they need it.