Part of the expanding PassProfessor catalog: This program is built — 1,512 original practice questions covering the full introductory statistics sequence, chapter by chapter — and it opens for enrollment soon. Join the notify list and we will email you the day it launches.
This program is part of the expanding PassProfessor catalog — join the notify list and we’ll email you when enrollment opens.
PassProfessor’s Intro Statistics program is a chapter-simulation practice program for the college introductory statistics course — not a licensing exam and not a textbook. You pick the course, then the textbook and edition your class uses so the simulation is optimized for your chapter order, then you practice chapter-based simulation exams drawn from a bank of 1,512 original questions. Every question was written from scratch from published course structure and verified disciplinary facts in statistics — no textbook content is reproduced, and no publisher or author endorses this program. A notify list is open now; enrollment details follow at launch.
What’s included
Chapter simulations, not one giant question pile. Introductory statistics is taught and tested chapter by chapter — sampling and data, then descriptive statistics, then probability, then distributions, then inference. The bank mirrors that structure exactly: 14 chapter groups, from Chapter 1: Sampling and Data through an Integrative Capstone that mixes procedures the way a comprehensive final does. You drill the chapter your class is in this week, not the whole course at once.
Textbook-optimized ordering. College statistics courses cover the same discipline in different chapter orders depending on the book. When the program opens, you will select the textbook and edition your simulation is optimized for, so chapter labels, sequencing, and topic groupings line up with how your instructor is teaching the course. The program itself is a PassProfessor program — it is never sold or branded under a textbook’s name.
Full-length simulation exams. Beyond single-chapter drills, you can sit mixed-chapter simulations that combine topics in the proportions the bank covers them — heavier on the core of the course (probability, descriptive statistics, and one-sample hypothesis testing) and lighter on the closing units, the way most course finals are weighted.
Results broken down by chapter. Your practice results break down chapter by chapter, so a weak unit — confidence intervals, say, or chi-square tests — shows up in your practice data while there is still time to fix it, instead of showing up for the first time on a graded exam.
Fresh draws, unseen questions first. Each simulation is generated fresh for that attempt, with questions you have not seen served first, so you are measuring what you know rather than what you remember from the last attempt. You never sit the same simulation twice.
The course at a glance
Introductory statistics is a one-semester (sometimes two-semester) college course taken by students in the social sciences, health fields, business, and the natural sciences. There is no single national exam and no licensing body behind it — your instructor sets your midterms and final. What is consistent across schools is the disciplinary scope: how data are collected, how they are summarized, how probability models work, and how statisticians draw conclusions from samples. Our Intro Statistics study guide walks through that scope topic by topic and shows how to study it.
| Intro Statistics at PassProfessor | |
|---|---|
| Program type | Chapter-simulation practice program for a college course |
| Practice questions | 1,512 |
| Chapter groups | 14 (13 numbered chapters + Integrative Capstone) |
| Largest chapters | Chapter 3: Probability (160), Chapter 2: Descriptive Statistics (155), Chapter 8: Hypothesis Testing with One Sample (145) |
| How you start | Pick the course, then the textbook/edition the simulation is optimized for |
| Status | In the works — join the notify list below |
How the practice maps to the course
Every question in the bank is tagged to a chapter of the introductory statistics sequence. Counts below are the bank itself, counted question by question from the delivered bank file — they sum to the full 1,512.
| Chapter | Practice questions |
|---|---|
| Chapter 1: Sampling and Data | 110 |
| Chapter 2: Descriptive Statistics | 155 |
| Chapter 3: Probability | 160 |
| Chapter 4: Discrete Random Variables | 118 |
| Chapter 5: Continuous Random Variables and the Normal Distribution | 125 |
| Chapter 6: The Central Limit Theorem | 88 |
| Chapter 7: Confidence Intervals | 130 |
| Chapter 8: Hypothesis Testing with One Sample | 145 |
| Chapter 9: Hypothesis Testing with Two Samples | 105 |
| Chapter 10: Chi-Square Tests | 88 |
| Chapter 11: Linear Regression and Correlation | 135 |
| Chapter 12: One-Way ANOVA | 59 |
| Chapter 13: Experimental Design and Data Collection | 59 |
| Integrative Capstone | 35 |
| Total | 1,512 |
Read the table the way your syllabus reads: the first three chapters (465 questions) build the language of the course — data, summaries, and probability. The middle chapters (561 questions across Chapters 4–8) build the machinery of inference, from random variables through the Central Limit Theorem to confidence intervals and one-sample tests. The final chapters (486 questions) apply that machinery — two-sample tests, chi-square, regression, ANOVA, and study design — and the Capstone mixes all of it, which is exactly the skill a comprehensive final tests: choosing the right procedure, not just running one.
How to use it
- Join the notify list today. When enrollment opens, set up your program by picking Intro Statistics, then the textbook and edition your class uses, so your chapter order matches your syllabus.
- Drill the current chapter before each quiz. Work the chapter your class is covering until the misses stop repeating — statistics builds, and a shaky probability chapter becomes a shaky inference chapter.
- Revisit earlier chapters on a schedule. Sampling distributions and the Central Limit Theorem sit underneath every inference procedure that follows. Short mixed reviews keep them current.
- Sit a mixed simulation before each midterm. Use the multi-chapter draws to practice procedure selection under time pressure — deciding which test a scenario calls for is the most-tested skill in the second half of the course.
- Use the Capstone set before your final. The 35 Integrative Capstone questions are built around choosing methods and spotting flawed reasoning across the whole course — the closest match to a cumulative final’s hardest questions.
Frequently asked questions
What is the PassProfessor Intro Statistics program? It is a chapter-simulation practice program for the college introductory statistics course. It holds 1,512 original practice questions organized into 14 chapter groups that follow the standard statistics sequence, and it lets you drill single chapters or sit mixed-chapter simulation exams. It is a study program, not a licensing exam and not a textbook.
How many practice questions are in the Intro Statistics bank? 1,512 questions. The largest chapters are Probability with 160 questions, Descriptive Statistics with 155, and Hypothesis Testing with One Sample with 145. The smallest are the closing units — One-Way ANOVA and Experimental Design and Data Collection, with 59 each — plus a 35-question Integrative Capstone.
Is this program tied to a specific textbook? No textbook publishes, endorses, or is reproduced in this program, and the program is never sold or branded under any textbook’s name. When you start, you select the textbook and edition your class uses so the simulation’s chapter order and grouping are optimized for your course. The questions themselves are original, written from published course structure and verified facts in the discipline of statistics.
What topics does Intro Statistics cover? The standard introductory scope: sampling and data collection, descriptive statistics, probability, discrete and continuous random variables, the normal distribution, the Central Limit Theorem, confidence intervals, hypothesis testing with one and two samples, chi-square tests, linear regression and correlation, one-way ANOVA, and experimental design — plus a capstone set on choosing among those procedures.
How is this different from the homework in my course? Homework teaches one section at a time, usually right after you see it, and often with the method named in the instructions. These simulations mix questions within and across chapters without naming the method, so they practice the skill graded exams actually test: reading a scenario, choosing the right procedure, and then carrying it out.
Can I practice just one chapter? Yes. Every chapter in the table above can be drilled on its own — Chapter 7: Confidence Intervals (130 questions), Chapter 10: Chi-Square Tests (88 questions), and the rest — so your practice can follow your syllabus week by week, and you can return to earlier chapters before a cumulative exam.
Does this program replace my course or textbook? No. It is a practice program that sits alongside your course. It does not award credit, does not substitute for any course requirement, and reproduces no textbook content. Your instructor’s syllabus and your course materials remain the authority for what your class covers and how it is graded.
When can I enroll in the Intro Statistics program? Soon — the 1,512-question bank is complete, delivered, and QC-verified, and the program is in final preparation. Join the notify list on this page and we will email you the day enrollment opens.
Disclaimer
PassProfessor is an independent study-preparation provider. This program is practice only: it awards no course credit, is not a substitute for any college course, and is not affiliated with or endorsed by any textbook publisher, author, college, or university. All practice questions are original, written from published course structure and verified disciplinary facts; no textbook content is reproduced.
More college programs: Browse the full list on the College Exam Prep hub and read the companion Intro Statistics study guide.