DSST Principles of Statistics: Study Guide & Test Prep
 Course type: Selfpaced
 Available Lessons: 135
 Average Lesson Length: 8 min

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chapter 1 / lesson 1Descriptive & Inferential Statistics: Definition, Differences & Examples 
This course can be found in: DSST Test Prep
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Course Summary
Prepare yourself for the DSST Principles of Statistics exam with this comprehensive and mobilefriendly study guide course. This selfpaced course offers lessons on all the statistics topics you need to know, as well as quizzes to help you evaluate your readiness to pass the exam and earn college credit.to start this course today
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12 chapters in DSST Principles of Statistics: Study Guide & Test Prep
Course Practice Test
Check your knowledge of this course with a 50question practice test. Comprehensive test covering all topics
 Detailed video explanations for wrong answers
About This Course
Earn college credit quickly by taking a couple of weeks to watch video lessons and take quizzes in preparation for the DSST Principles of Statistics exam. Our study guide features fun and short lessons that provide all the info you need to pass the exam and earn three college credits. These selfpaced, flexible lessons cover fundamental statistics principles, including measures of central tendency, population variance, relative frequency, discrete and continuous probability, sampling methods and regression.
This course was last updated in 2019.
Check out our DSST test prep materials! We've got DSST courses to teach you the material, comprehensive DSST study guides to help you study, DSST practice tests to test your knowledge, and informational DSST resources to get you up to speed on testing logistics.
Syllabus & Course Information
Your comprehension of essential statistics concepts is tested on the DSST Principles of Statistics exam. Use the lessons in this course to refresh your knowledge of those principles and prepare for the exam. Our lessons can help you:
 Learn to identify the differences between inferential and descriptive statistics and populations and parameters.
 Explore various data types and levels of measurement alongside methods for selecting experiment models. Get tips for recognizing biased or misleading uses of statistics.
 Find out how to calculate mean, median and mode, and describe the shape of a data set. Study procedures for finding maximums, minimums, outliers and percentiles.
 Identify standard deviations and shifts in the mean as well as methods for ordering and ranking data.
 Discover joint, marginal and conditional frequencies and identify the differences between bivariate and univariate data.
 Determine how to interpret stem and leaf displays, histograms and frequency polygons as well as dot and box plots, bar graphs, pie charts and twoway tables. Use data to make predictions and calculate percent increase.
 Understand basic set theory and classical approaches to probability. Learn how to find the probability of simple, compound and complementary events as well as independent and dependent events.
 Observe how simple conditional probabilities can be applied to realworld scenarios.
 Practice graphing and interpreting discrete probability distributions used to find expected values. Examine binomial probabilities and learn to recognize properties of normal and binomial distributions.
 Learn to graph continuous probability distributions and find their expected values. Explore the uses of these distributions to estimate area and population percentages.
 Explore simple, stratified, cluster and systematic random samples. Study the law of large numbers and discuss the central limit theorem, sampling distributions and sample means.
 Identify the relationships between confidence intervals, sample size and sample means. Examine properties of the tdistribution and learn the differences between biased and unbiased estimators and point and interval estimation.
 Follow steps in hypothesis testing for small and large independent samples, matched pairs and proportions. Understand the differences between type I and type II errors.
 Learn how to create and interpret scatterplots, solve problems using linear regression and analyze residuals.
 Practice finding the correlation coefficient and the coefficient of determination. Distinguish between correlation and causation and find out how to transform nonlinear data.
Prerequisites
This is an introductory course, so no prerequisites are required. Begin learning about statistics today!
Course Format
In this prep course, you'll find 100 video lessons categorized into 10 chapters. These quick videos can be watched in about 510 minutes, and a quiz is available after each one for self assessment. Lessons feature engaging animations and graphics as well as lesson transcripts if you prefer to read along. A progress tracking tool helps you monitor how many lessons you've watched and quizzes you've taken. You'll also find chapter quizzes and a final exam to round out your preparation for the DSST Principles of Statistics exam.
DSST Principles of Statistics Exam Information
Quickly earn three college credits by passing the DSST exam. This flexible exam replaces the time you would spend in a typical lowerlevel college course in statistics. A principles of statistics course is typically completed in one semester and might be required in several different majors. Students trying to complete their general education requirements might also take this course.
 Number of Questions: Approximately 100
 Question Type: Multiple choice
 Time Limit: 2 hours
 Number of Credits: 3
 Exam Cost: $80
Earn DSST Credit
By using our study guide to prepare for the DSST exam, you don't have to wait for a new semester to start earning college credit. Begin your lessons at any time throughout the year, then sign up for the exam when you're prepared. The three college credits you can earn by passing the exam can be applied at more than 1,900 colleges and universities in the U.S. This course is the most efficient and effective way to prepare for the exam.
Study Schedule for the DSST Principles of Statistics Exam
You'll find about 13 hours of video lessons and quizzes in this selfpaced course. Pick the study schedule that works best for you using the handy timetable below. Schedule your exam in advance to ensure you get the time slot you want. Find out more about earning credit by taking a DSST exam.
Study Frequency  When You'll Be Ready for the Exam 

3 hours a day; 3 days a week  About 1.5 weeks 
2 hours a day; 3 days a week  Just over 2 weeks 
1 hour a day; 3 days a week  Just over 4 weeks 
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