- Course type: Self-paced
- Available Lessons: 134
- Average Lesson Length: 8 min
Eligible for Credit: Yes
Earn transferable credit by taking this course for credit.
Watch a preview:chapter 1 / lesson 1Descriptive & Inferential Statistics: Definition, Differences & Examples
Course SummaryTake Statistics 101: Principles of Statistics to jump start your degree program and quickly earn transferable college credit. This affordable and self-paced course is taught by expert math instructors who break down complex statistic concepts through a series of short and engaging video lessons.
To Start This Course Today
Try it free for 5 days
Statistics 101 consists of short video lessons that are organized into topical chapters. Each video is approximately 5-10 minutes in length and comes with a quick quiz to help you measure your learning. At the end of each chapter, you can complete a chapter test to see if you're ready to move on or have some material to review. Once you've completed the entire course, take the practice test to see if you're ready to earn credit. Use the study tools in the course to prepare for your final exam.
The course is completely self-paced. Watch lessons on your schedule whenever and wherever you want.
Upon completion of the course, you will be able to:
- Identify the differences between various types of data and statistics
- Calculate values including mean, median, mode, and standard deviation
- Interpret data displays such as stem and leaf plots, histograms, box plots, bar graphs, two-way tables, and others
- Use basic set theory to answer questions about the probability of events
- Understand, interpret, and graph discrete and continuous probability distributions
- Recognize properties of binomial probabilities and normal distributions
- Identify relationships between confidence intervals, sample size, and sample means
- Follow steps in hypothesis testing for small and large independent samples, matched pairs, and proportions
- Create and interpret scatter plots and solve problems using linear regression and the correlation coefficient
Your grade for this course will be calculated out of 150 points. The minimum score required to pass and earn real ACE college credit for this course is 105 points, or an overall course grade of 70%. The table below shows the assignments you must complete and how they'll be incorporated into the overall grade.
|Proctored Final Exam||100|
- Quizzes are meant to test your comprehension of each lesson as you progress through the course. You have 3 attempts on every quiz to get the highest score possible. You may continue to take each quiz as many times as you'd like, but only the highest of your first 3 attempts counts toward your final grade. When you've completed the course, we'll calculate this portion of your final grade by averaging your highest scores on the quizzes. You must complete all the required quizzes with a score of 80% or higher on each one to complete the course and access the proctored final exam. Chapter exams are for self-assessment and do not count toward your final grade.
- The proctored final exam is a cumulative test designed to ensure that you've mastered the material in the course. You'll earn points equivalent to the percentage grade you receive on your proctored final. (So if you receive an 85% on the final, that's 85 points toward your final grade.) You'll be eligible to retake the exam after a 3-day waiting period. You can only retake the exam twice, so be sure to use your study guide and fully prepare yourself before you take the exam again.
Items Allowed on Study.com Proctored Exam for Statistics 101:
- A non-graphing, scientific calculator
- One sheet of blank scratch paper
- Pen or pencil
- Print-out copies of the following statistics tables
Items NOT Allowed on Study.com Proctored Exam for Statistics 101:
- Graphing calculators
- Office programs, web browsers, or any programs other than Software Secure (including Study.com lessons)
- Textbooks (digital or physical)
- Mobile phones, headphones, speakers, TVs, radios
- Notebooks or notes
How It Works:
The American Council on Education (ACE) has evaluated this statistics course and recommended it for 3 lower division college credits. To earn credit, follow these steps:
- Identify if you need an introductory statistics course for your degree.
- Check with your registrar to see if your school is one of the 2,000 colleges and universities that accept credit from ACE-recommended courses.
- Complete Statistics 101 by watching videos, taking short quizzes and completing practice exams.
- Contact our expert instructors if you ever have questions.
- Take the credit-granting Statistics 101 exam on our site.
- Transfer credit to your school!
There are no prerequisites for this course, but many students choose to complete Math 101: College Algebra prior to Principles of Statistics.
|Overview of Statistics||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.|
|Summarizing Data||Find out how to calculate the center, mean, median, and mode, and describe the shape of a data set. Study procedures for finding maximums, minimums, outliers and percentiles within data sets. Identify standard deviations and methods for ordering and ranking data.|
|Tables and Plots||Explain both relative and cumulative frequency. Interpret stem and leaf displays, histograms and frequency polygons as well as dot and box plots, bar graphs, pie charts and two-way tables. Use data to make predictions and calculate percent increase. Discover joint, marginal and conditional frequencies and identify the differences between bivariate and univariate data.|
|Probability||Define unions, intersections and elements as well as events as subsets. 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. Show connections between independent and conditional probabilities. Observe how simple conditional probabilities can be applied to real-world scenarios. Learn the addition and multiplication rules, practice applying math combination formulas, and work on calculating permutations and the probability of permutations. Look back at classical approaches to probability and relative frequency.|
|Discrete Probability Distributions||Define random variables. Practice graphing and interpreting discrete probability distributions used to find expected values in games of chance. Examine discrete probability concepts, binomial probabilities and formulas, standard deviation and mean of a binomial random variable, and problem-solving steps for binomial experiments.|
|Continuous Probability Distributions||Learn to graph continuous probability distributions and find their expected values. Explore the uses of these distributions to estimate area and population percentages, and go over related theories and terminology.|
|Sampling||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.|
|Statistical Estimation||Identify the relationships between confidence intervals, sample size and sample means. Examine properties of the t-distribution and learn about biased and unbiased estimators as well as point and interval estimation. Explore confidence intervals for matched pairs, independent samples, proportions, and independent samples with equal variances.|
|Hypothesis Testing||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. Explore the relationship between hypothesis tests and confidence intervals.|
|Regression and Correlation||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.|
Learn more about the College Accelerator Plan
What to Expect For the Exam
The American Council on Education (ACE) has evaluated this Study.com course and recommended it for college credit. Once you've completed this course, you can take the proctored final exam and potentially earn credit. Follow the steps below to take the exam.
Before taking the exam, all of the following requirements must be met:
|A College Accelerator Study.com membership.|
|Completed the entire Statistics 101: Principles of Statistics course and achieved 100% Course Progress.|
|Not attempted to take this exam within the last three days.|
|Have available proctored exams in this month of membership.|
|Complete the exam readiness quiz.|
Please complete all of the pre-requirements in the Pre-Exam Checklist in order to take the exam.
Exam Process Details
1. Register For Exam
Registering for the exam is simple. First, be sure you meet the system requirements. Next, you'll need to agree to the academic integrity policy. Then just confirm your name and the exam name, and you're ready to go!
2. Download Software Secure
You'll receive an unique access code. Please write this down — you'll need it to take the exam. Then download Software Secure and follow the installation instructions.
3. Take Exam
The exam contains 50 - 100 multiple choice questions. You will have two hours to complete the exam, so don't start until you're sure you can complete the entire thing. And remember to pace yourself!
4. Get Exam Results
We will send you an email with your official exam results within 1 to 2 weeks.
Confirm College Accelerator Upgrade?
- Unlimited access to all video lessons
- Lesson Transcripts
- Tech support
- Practice quizzes & tests
- Tools for tracking progress
- Personalized coaching
- Access to instructors
- Certificates of Completion
- Create Custom Courses
- Earn college credit
- Take two exams per month
- Finish official exams remotely
- Learn more
By upgrading now, you will immediately have access to all features associated with your new plan. Because the change is in the middle of your billing cycle, your next charge will include the prorated amount for the rest of this month. For more info check our FAQ's.
Earning College Credit
Did you know… We have over 79 college courses that prepare you to earn credit by exam that is accepted by over 2,000 colleges and universities. You can test out of the first two years of college and save thousands off your degree. Anyone can earn credit-by-exam regardless of age or education level.
To learn more, visit our Earning Credit Page
Transferring credit to the school of your choice
Not sure what college you want to attend yet? Study.com has thousands of articles about every imaginable degree, area of study and career path that can help you find the school that's right for you.
Research Schools, Degrees & Careers
Get the unbiased info you need to find the right school.
Browse Articles By Category
Browse an area of study or degree level.
- Biological and Biomedical Sciences
- Communications and Journalism
- Computer Sciences
- Culinary Arts and Personal Services
- Liberal Arts and Humanities
- Mechanic and Repair Technologies
- Medical and Health Professions
- Physical Sciences
- Transportation and Distribution
- Visual and Performing Arts
- Do I Have to Take College Entrance Exams to Earn Transfer Credit?
- Math and Statistics Degrees by Degree Program Level
- How to Earn Credits Towards Your Degree Before You Even Start School
- Surprising Community College Transfer Statistics
- Statistics Degrees by Degree Program Level
- Top Schools for Math and Statistics
- Online Degrees in Statistics by Program Level
- What Does Course Level Mean for Transferring College Credit?
- Student Earns Three College Credits and Saves $700 Over Winter Break
- Get $1000 for Earning College Credit!
Explore our library of over 30,000 lessons
- College Courses
- High School Courses
- Other Courses