- 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.
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The course objective is to equip you with the tools to apply statistical principles to answer questions and solve problems. You will also learn about various topics in statistics, including probability, sampling distributions and hypothesis testing.
Your grade for this course will be calculated out of 300 points. The minimum score required to pass and earn real college credit for this course is 210 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||200|
Quizzes are meant to test your comprehension of each lesson as you progress through the course. Here's a breakdown of how you will be graded on quizzes and how they'll factor into your final score:
- You will have 3 attempts to take each quiz for a score.
- The highest score of your first 3 attempts will be recorded as your score for each quiz.
- When you've completed the course, the highest scores from your first 3 attempts at each quiz will be averaged together and weighed against the total possible points for quizzes. For instance, if your average quiz score is 85%, you'll receive 85 out of 100 possible points for quizzes.
- After your initial 3 attempts, you can take a quiz for practice as many times as you'd like.
- You will need to pass each quiz with a score of at least 80% to earn course progress for the lesson. However, it is not necessary to earn 80% within the first three quiz attempts.
Proctored Final Exam
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 earn 90% on the final, that's 180 points toward your final grade.)
- If you're unsatisfied with your score on the exam, 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
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
There are no prerequisites for this course, but many students choose to complete Math 101: College Algebra prior to Principles of Statistics.
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.
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This course has been evaluated and transfer credit-recommended for 3 lower-division credits by ACE and 4 lower-devision credits by NCCRS. To earn credit, follow these steps:
- If you already have a school in mind, check with your registrar to see if your school is one of the 2,000 colleges and universities that accept credit for courses recommended by either ACE or NCCRS.
- Complete Statistics 101 by watching video lessons and taking short quizzes.
- Take the credit-granting Statistics 101 exam on our site.
- Transfer credit for Statistics 101 to the accredited school of your choice!
- Check out this page for more information on how you can transfer your credit.
|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 & 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.|
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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
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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.
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