North DakotaNorth Dakota High School Statistics Curriculum
Video lessons and practice for every high school Statistics topic. Aligned to North Dakota Mathematics Content Standards. Get help with homework anytime.
North Dakota 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). |
North Dakota High School Statistics: What Students Learn
High school Statistics in North Dakota covers a wide range of skills, from representing data with plots to making inferences about populations. Students aligned to North Dakota Mathematics Content Standards explore dot plots, histograms, box plots, and scatter plots, then move into comparing data sets using mean, median, standard deviation, and interquartile range.
Data Analysis and Distributions
Students learn to interpret differences in shape, center, and spread across data sets, including the effects of outliers. They fit data to normal distributions using mean and standard deviation, and use calculators and tables to estimate areas under the normal curve. Two-way frequency tables introduce categorical data analysis, including joint, marginal, and conditional relative frequencies.
Probability Concepts
The probability unit covers independence, conditional probability, the Addition Rule, and the general Multiplication Rule. Students use permutations and combinations to compute probabilities of compound events. Real-world applications — such as medical testing and product testing — help students connect abstract probability concepts to everyday decisions.
Statistical Inference and Random Variables
Students understand statistics as a process for making inferences from random samples. Topics include sample surveys, experiments, observational studies, margin of error, and simulation. The random variables unit covers probability distributions, expected value, and decision-making using probability — all key skills for 11th grade NDSA preparation and beyond.
- Represent and interpret data using dot plots, histograms, and box plots
- Compare data sets using center and spread statistics
- Fit data to normal distributions and estimate population percentages
- Apply probability rules including Addition and Multiplication Rules
- Use random variables and expected value to analyze decisions
StudyPug's video lessons walk North Dakota students through every one of these topics step by step. Get started today and tackle Statistics with confidence.