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Master Statistics

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Probability was killing my grade. The video lessons on conditional probability made it click. Went from D+ to B in six weeks.

Alex Johnson

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Why Statistics Students Choose StudyPug

The complete learning system to master Statistics

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Search with Photo

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Expert Video Teaching

Certified teachers break down probability, distributions, and inference step-by-step

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Unlimited Practice

5,000+ teacher-created practice questions prepare you for Statistics exams

How Michigan Students Use StudyPug

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2

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Get Unstuck

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3

Practice & Master
Practice & Master

Work through similar problems until concepts stick.

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Michigan Statistics Help: Master Concepts FastHelp

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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).
Complete Michigan Statistics Coverage

Statistics Lessons

44

Video Explanations

335

Practice Problems

416

Michigan Standards

100% Aligned

Why Michigan Statistics Students Love StudyPug

SAT Math Preparation

SAT Math Preparation

Practice with real SAT-style statistics questions—be ready for exam day

Certified Teachers

Certified Teachers

Learn from expert Michigan teachers who know exactly what you need for Statistics

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Learn Anywhere

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Success Stories

Two-way tables confused me for weeks. The step-by-step videos made conditional probability easy. Aced my chapter test.

Jordan Lee

Normal distributions made zero sense. Used StudyPug for three weeks and everything clicked. Got an A on my final project.

Taylor Martinez

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Frequently Asked Questions

Everything you need to know about Statistics on StudyPug

What does Statistics coverage include?

Complete Statistics curriculum with video lessons on data analysis, probability, inference, and distributions. Includes practice problems, step-by-step solutions, and progress tracking for every topic.

How does the AI photo search work?

Take a photo of any statistics problem, and our AI finds the exact lesson teaching that concept. It's like having a personal tutor who knows exactly what you need for the exam.

Are the teachers certified Michigan educators?

Yes! Our teachers are certified Michigan educators who understand Statistics curriculum and create lessons specifically for Michigan standards and SAT preparation.

Can I use StudyPug on my phone or tablet?

Absolutely! StudyPug works on desktop, tablet, and mobile. Your progress syncs automatically so you can study for Statistics anywhere, anytime.

How will StudyPug help me prepare for the SAT Math test?

We include SAT-style statistics practice questions and teach the exact concepts tested on the exam. Students report significantly improved scores and confidence on test day.

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