- Delivery Method Online
- Professional Certificate
- 24hrs Suggested Study Time
- 3 Months Access
- Tutor Support
- Study On Any Device
- 1110 Students
Statistics Fundamentals
Now Only
$389
AUD
35% off
$599 AUD
Quick Facts
Improve your understanding of data and learn how to develop graphs and charts so you can use this information to make better decisions.
Do you need an introduction to statistics or maybe just a refresher? Do you want to improve your understanding of data and use it to make decisions? This is the course for you!
With easy-to-understand examples combined with real-world applications, this course provides you with the skills and knowledge you need to start analysing data. You'll explore how to use data and apply statistics to real-life problems and situations.
We'll discuss data and data collection practices. You'll learn to summarise and describe data with charts, numbers, and graphs. You'll even calculate and interpret probabilities and then see how they apply to decision making when you're faced with uncertainty.
You'll learn ways to visualise and measure relationships in data, and we'll also use data to make forecasts and predictions. You'll grasp the basics of statistical inference and discover what it means for a result to be statistically significant. Throughout the course, we'll use real data and a variety of examples drawn from business and industry, health care and medicine, sports, education, politics, news events, and the social sciences.
Don't worry if detailed calculations are not your thing! We'll use a variety of free online resources to aid with calculations. By the end, you'll be able to successfully apply and interpret basic statistical procedures.
Courses are delivered to you through expertly executed lessons, online instruction and interaction with like-minded students. Our courses are designed to deliver all of the benefits of studying in a classroom whilst giving you the flexibility to study at a time and place to suit your needs. You can access your classroom 24/7 from any device with an internet connection.
This course has a 3 month duration. You'll complete comprehensive lessons, quizzes and assignments before submitting your final exam at the end of the course to achieve your certificate. Courses must be completed within the 3 month access period.
What's statistics really about? How do you collect reliable data and use it to make informed decisions? In Lesson 1, you'll learn some of the concepts and terms we'll use throughout the course. You'll also find out how statistics affects events in the news and in your everyday life.
Once you have a set of data, how can you summarize and interpret it to figure out what it really means? In Lesson 2, you'll learn to summarize data and describe its center along with its variability. As you learn to calculate mean, median, range, and standard deviation, I'll provide examples from different workplaces. You'll see how statistics plays a part in medicine, human resources, education, politics, finance, and marketing.
Is there an easier way of understanding data than peering at column after column of numbers? Yes! In Lesson 3, you'll see quantitative data displayed in dot plots, histograms, and many other forms. Knowing how to read and construct these graphs will help you see patterns and spot unusual values in data. Our examples in this lesson come from medicine, mortgage lending, classrooms, biologists' field notes, and the aisles of your local grocery store.
"How much satisfaction do you get from your friendships?" "Would you vote for a qualified woman for president?" "Which mountain in the Himalayas is most dangerous to climb?" In Lesson 4, you'll learn to summarize and display qualitative data from questions like these. We'll focus on charts and tables, and along the way you'll see examples from business, government, and medicine.
Is there a link between the poverty rate and the crime rate? Is your score on a math exam related to your anxiety level? In Lesson 5, we'll look at relationships between two quantitative variables. You'll learn to make scatterplots and describe what you see. You'll also use correlation to measure the strength of a particular link.
<p>Can we predict the next world-record time in the mile run? How can we forecast CO<sub>2</sub> levels in the atmosphere? In Lesson 6, we'll go beyond describing and measuring association between variables. You'll use <i>linear regression</i> to find an equation that models the data. Then you'll use the equation to make predictions. </p>
What's the chance you'll have a coin come up "heads" five times in a row? What about drawing four aces from a deck of cards or picking the winning lottery numbers? In Lesson 7, we'll study the basics of probability. You'll learn the rules that govern probability and see how to apply them in a variety of situations.
What should you expect to happen in a game involving chance? How can you estimate the probability that a healthy baby will be born underweight? In Lesson 8, we'll talk about probability models and expected value. Our focus will be the most common probability model in statistics: the normal model. You'll see this bell-shaped distribution in a variety of settings, and you'll learn to use it to estimate probabilities.
How can we move beyond the sample at hand to make predictions and draw conclusions about the population? In Lesson 9, you'll discover the key that lets you make inferences about the population. You'll see the most important result in all of statistics—the central limit theorem—and you'll learn why the normal model plays such an important role in statistics. You'll also find out how to use data and probability to evaluate a claim.
"The margin of error for this poll is plus or minus 3%." What does that mean, anyway? In Lesson 10, we'll begin our journey into statistical inference by focusing on confidence intervals for proportions. You'll learn to calculate the margin of error and use it to build an interval for estimating a population proportion. You'll also see how to estimate the sample size you'd need for a survey.
Is there really a home team advantage in sports? Did that television ad your company bought result in increased awareness of your product? In Lesson 11, you'll learn to answer questions such as these by testing an appropriate hypothesis using proportions. You'll find out what steps make up a hypothesis test and how you can interpret the results, make inferences, and arrive at informed decisions.
How do you test hypotheses about means? For example, how can you use a confidence interval to estimate the average number of hours Americans use the Internet each week? In our last lesson together, you'll get an introduction to inference for means. You'll learn to calculate and interpret confidence intervals and hypothesis tests for a mean, and you'll see how to analyze data from a paired experiment. And while we're at it, you'll find out what the history of statistics has to do with the quality of beer in Ireland.
Ben Sellers
Ben Sellers has more than 17 years of experience in teaching at all levels from elementary classes to college mathematics and statistics courses. He has taught college students, working professionals, adult learners, high school students, and home... Read more
Read Ben Sellers's ProfileFrequently Asked Questions
Once you've made the payment, we'll send you a confirmation email with a link to start your course. Feel free to get started whenever you're ready!
You'll have 3 months access to your course. In that time you are free to study at your own pace. The course duration is 24 hours.
Online learning is a flexible way to study that fits around your schedule, giving you the freedom to learn at your own pace from anywhere in the world. You'll have 3 months to complete the course and can take the multiple-choice questions and final exam whenever it suits you.
If you need help, you can contact us anytime. You can also join the discussion area where you can interact with other students. The discussion area for each lesson is open for the entire duration of the course.
Of course! We offer a 7-day money back guarantee. As long as you haven't completed the course, you can get a full refund within 7 days of enrolling.
We do not offer extensions or transfers for this self-paced course. However, you will have 3 months to complete the course, and if you need to cancel within the first 10 days of enrolment, we offer a money back guarantee.
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