- Course type: Self-paced
- Available Lessons: 117
- Average Lesson Length: 8 min
Eligible for Certificate: Yes
Certificates show that you have completed the course. They do not provide credit.
Watch a preview:chapter 1 / lesson 1Descriptive & Inferential Statistics: Definition, Differences & Examples
Course SummaryThis UExcel Statistics study guide provides an in-depth examination of concepts covered on the UExcel Statistics exam. Deepen your statistics knowledge, simplify your test preparations, and improve your ability to earn college credit by exploring engaging lessons, short quizzes and practice exams.
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Course Practice TestCheck your knowledge of this course with a 50-question practice test.
- Comprehensive test covering all topics
- Detailed video explanations for wrong answers
About This Course
Earn three hours of credit in just 2-3 weeks when you use our course to prepare for the UExcel Statistics exam. This course is available in a self-paced format, offering you the quickest way to study for the exam and earn college credit that you can transfer to numerous colleges and universities throughout the U.S.
In this course, you'll find lessons covering all the topics commonly taught in a one-semester statistics course, including methods for summarizing data, probability distributions, statistical estimation and regression. Our lessons are fun and engaging, bringing statistical concepts to life and making it easy for you to remember them for the exam.
Syllabus & Course Information
When you've completed this statistics course, you'll have knowledge of the objectives below. These objectives are in line with the questions you'll see on the UExcel Statistics exam. You can further prepare for the UExcel Statistics exam by taking the final exam that completes our course.
- Differentiate between inferential and descriptive statistics and populations and parameters.
- Identify data types, levels of measurement and methods for selecting experiment models.
- Recognize common sources of bias or misleading uses of statistics.
- Calculate mean, median, mode and range and identify the center in a data set.
- Examine maximums, minimums, outliers and percentiles in datasets.
- Find standard deviations and shifts in the mean.
- Order and rank data using different methods
- Distinguish between joint, marginal and conditional frequencies.
- Compare and contrast bivariate and univariate data.
- Read and interpret stem and leaf displays, histograms and frequency polygons.
- Create dot and box plots, bar graphs, pie charts and two-way tables.
- Make predictions using univariate data.
- Calculate percent increase using frequency tables.
- Examine frequency and classical approaches to probability.
- Find the probability of simple, compound and complementary events.
- Apply simple conditional probabilities to real-world scenarios.
- Graph probability distributions and learn to interpret them.
- Recognize properties of normal and binomial distributions.
- Identify types of random samples, including simple, stratified, cluster and systematic.
- Learn the law of large numbers.
- Review the central limit theorem and sampling distributions.
- Link confidence intervals, sample size and sample means.
- Use the t distribution and find confidence intervals.
- Learn to conduct hypothesis tests for small and large independent samples, matched pairs and proportions. Differentiate between type I and type II errors.
- Create and interpret scatterplots, solve problems using linear regression and find violations of regression assumptions using residual analysis.
- Find the correlation coefficient and the coefficient of determination.
- Use data to interpret linear relationships. Find out how to transform nonlinear data.
No prerequisites are needed for this course.
This course has 10 chapters encompassing 132 video lessons, each of which takes about 5-10 minutes to watch. A short quiz follows each lesson, which also includes a written transcript in case you want to follow along. You'll be instructed by subject experts who can answer any questions you have. Chapter exams and a final exam help you gauge your understanding of the materials and prepare for the UExcel Statistics exam. Not sure what lessons you still need to watch? Our course has a tracking feature that lets you see how many lessons you've viewed and which quizzes you've passed.
UExcel Statistics Exam Information
The questions you'll be asked on the UExcel Statistics exam cover the same topics discussed in a one-semester, introductory course in statistics. You would likely take this lower-division course within your first two years of college. Some students use this course to meet general education requirements, but it can also be used to meet major requirements for math, science or engineering fields. Numerous other majors that utilize statistical analysis, such as sociology or psychology, may also require this course.
- Number of Questions: Approximately 72
- Question Type: Multiple choice
- Time Limit: 2 hours
- Number of Credits: 3
- Exam Cost: $95
UExcel Statistics Exam Breakdown
|Exam Concept||Percent of the Exam||Approximate Number of Questions||Chapter Lessons|
|Overview of Statistics||5%||4 questions||17 lessons|
|Summarizing, Organizing and Describing Data||20%||14 questions||15 lessons|
|Regression and Correlation||10%||7 questions||11 lessons|
|Basic Probability Theory||10%||7 questions||15 lessons|
|Probability Distributions||10%||7 questions||26 lessons|
|Sampling||10%||7 questions||9 lessons|
|Statistical Estimation||15%||11 questions||11 lessons|
|Hypothesis Testing||20%||14 questions||10 lessons|
Earn UExcel Credit
Earning a passing score on the UExcel Statistics exam can help you earn 3 college credits that can be transferred to hundreds of universities and colleges. Transferring credit from an exam into a college or university can help you graduate much more quickly and save you money at the same time. The most effective way to prepare for one of these exams is to complete this self-paced course.
Study Schedule for the UExcel Statistics Exam
This course offers around 13 hours of instruction. The lessons are self-paced, allowing you to watch lessons on your own time. We've provided a timetable to help you figure out how long you'll need to study based on what works with your schedule. You might consider calling for a test appointment early, so you'll have a test slot when you're ready to take the exam.
|Study Frequency||When You'll Be Ready for the Exam|
|3 hours a day; 3 days a week||Almost 1 1/2 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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