Business Statistics Abridged Study Guide
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 self-paced, flexible lessons cover fundamental statistics principles, including measures of central tendency, population variance, relative frequency, discrete and continuous probability, sampling methods and regression. Check out our materials! We've got to teach you the material, comprehensive to help you study, to test your knowledge, and informational to get you up to speed on testing logistics.
Business Statistics Abridged Study Guides
Business Statistics Abridged: Australia New Zealand, Saroja Selvanathan Business Statistics. Subject, Science & Mathematics: Textbooks & Study Guides. Download and Read Business Statistics Abridged Study Guide Business Statistics Abridged Study Guide Preparing the books to read every day is enjoyable for many people.
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 two-way 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 real-world 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.
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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 t-distribution 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 5-10 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 lower-level 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 self-paced 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. 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 DSST is a registered trademark of Prometric, which is not affiliated with Study.com.
Description. Statistical data analysis is the backbone of sound business decision making. Finding the right tool to analyse a particular business problem is the key to such problem solving.
Learning the fundamentals of statistical reasoning and data analysis - you will be on the way to becoming a better manager, analyst or ecomist. By providing a framework for solving statistical problems, this sixth edition of Australian Business Statistics teaches skills that you can use throughout your career. The book shows you how to analyse data effectively by focusing on the relationship between the kind of problem you face, the type of data involved and the appropriate statistical technique for solving the problem. Business Statistics 6e, emphasizes applications over theory.
It illustrates how vital statistical methods and tools are for today's managers and analysts and how to apply them to business problems using real-world data. Using a proven three-step Identify-Compute-Interpret (ICI) approach to problem solving, the text teaches you how to (1) IDENTIFY the correct statistical technique by focusing on the problem objective and data type; (2) COMPUTE the statistics doing them by hand and using Excel; and (3) INTERPRET results in the context of the problem. This unique approach enhances your comprehension and practical skills. The text's vast assortment of data-driven examples, exercises, and cases covers the various functional areas of business, demonstrating the statistical applications that marketing managers, financial analysts, accountants, ecomists, and others use. Learning resources such as CourseMate maximize study time to help you achieve the results you want. Completely up-to-date, the sixth edition offers comprehensive coverage, current examples, and an increased focus on applications in the real world.