Jim Frost

I’ll help you intuitively understand statistics by focusing on concepts and using plain English so you can concentrate on understanding your results.

[Jim Frost @statisticsbyjim]

I'm proud to announce the launch of my fourth book: Thinking Analytically: A Guide for Making Data Driven Decisions! It's currently Amazon's #1 New Release in Business Decision Making! Link in comments. https://t.co/I267KO79Tl

[Jim Frost @statisticsbyjim]

@MathTechCoach A bit more complicated! The holiday falls on the Sunday after the Paschal Full Moon date of that year. The Paschal Full Moon is the Ecclesiastical Full Moon that falls after March 20. Clear as mud!

[Jim Frost @statisticsbyjim]

When is Easter this year? I ask this question every year! This year, Easter occurs on March 31. Next year, Easter falls on April 20, 2025.
How rare are Easter dates in March? Are there patterns in the dates? Most common and least common dates?

https://t.co/QCOxSstDPL

[Jim Frost @statisticsbyjim]

@drkurashiki I'm so glad to hear that my blog posts have been helpful. It makes my day hearing that! Best wishes to you always. :)

[Jim Frost @statisticsbyjim]

A longitudinal study is an experimental design that takes repeated measurements of the same subjects over time. Learn about the different ways to perform these studies, their pros and cons, and see examples.

https://t.co/doWRq6MpSQ

[Jim Frost @statisticsbyjim]

In the U.S., our Thanksgiving holiday is fast approaching. We give thanks for the good things in our lives. By statistically examining income distributions, learn why you have much to be thankful for, and so does most of the world!

https://t.co/zqfwDyJwWU

[Jim Frost @statisticsbyjim]

The binomial distribution is a vital probability function in statistics for binary outcomes. Do you know how to calculate the probability an event will occur a specific number of times in a set number of opportunities?

Learn how to use the formula!

https://t.co/3X3vvQmH5x

[Jim Frost @statisticsbyjim]

The expected value is the long-run average outcome of a random variable based on its possible outcomes and their respective probabilities.

Learn how to find an expected value. Work through example calculations for expected values in several contexts.

https://t.co/OUwRjKBf29

[Jim Frost @statisticsbyjim]

Use a one-sample t-test to evaluate a population mean using a single sample. It can determine whether a population mean differs from a hypothesized value you specify.

Learn about the one-sample t-test, its assumptions, and interpret the results.

https://t.co/oMX0eKRlXs

[Jim Frost @statisticsbyjim]

A QQ plot shows whether your sample follows a probability distribution (e.g., normal). Do you know how QQ plots are better than histograms and distribution tests when evaluating distributions?

https://t.co/JNUNpxZnA0

[Jim Frost @statisticsbyjim]

A parsimonious model in statistics is one that uses relatively few independent variables to obtain a good fit to the data.

Do you understand the benefits that a simpler model provides? Or the problems associated with complex models?

https://t.co/5ZZcS3u3RG

[Jim Frost @statisticsbyjim]

The Bernoulli distribution is a discrete probability distribution modeling a binary outcome for a trial. It's a foundational distribution you build on with more complex distributions for a series of Bernoulli trials. Do you know the fundamentals?

https://t.co/ZA92VJ93Wp

[Jim Frost @statisticsbyjim]

The placebo effect occurs when a fake medical treatment produces real medical benefits psychosomatically.

Do you know how it works, what magnifies its impact, and why scientists need to control for it when conducting clinical trials?

https://t.co/hzaD0WeHRs

[Jim Frost @statisticsbyjim]

A randomized controlled trial (RCT) is an experimental design that randomly assigns participants to an experimental or control group. RCTs are the gold standard for establishing causal relationships.

Do you understand their strengths and weaknesses?

https://t.co/ff2zXDXkhA

[Jim Frost @statisticsbyjim]

A prospective study is an experimental design that looks forward in time and observes events as they happen. Do you know the pros and cons of prospective studies and why you might use one?

https://t.co/ua5jABujZB

[Jim Frost @statisticsbyjim]

Use a T Test when you need to compare group means. Learn about the different types of t tests, when you should use each one, and their assumptions. Additionally, I show you how to interpret an example of each type.

https://t.co/LGtjDTHu5B

[Jim Frost @statisticsbyjim]

The Wilcoxon signed rank test is a nonparametric alternative for both the 1-sample t-test and paired t-test. Learn the benefits this test provides and when you should use it.

https://t.co/xbD9w6GnhW

[Jim Frost @statisticsbyjim]

The Likert scale is a well-loved tool in survey research. They measure attitudes or feelings and provide quantitative data about qualitative aspects, such as attitudes, satisfaction, or agreement. Do you know how to use and analyze them effectively?

https://t.co/LbJdA9x2rl

[Jim Frost @statisticsbyjim]

Correlation is a fundamental measurement of the relationship between two variables. Do you really understand how it works?

Learn about the correlation coefficient formula, gain insights, and work through an example calculation.

https://t.co/IhI2uQ5adr

[Jim Frost @statisticsbyjim]

A two-way table displays frequencies for combinations of two categorical variables. Learn how to use them to understand the relationship between categorical variables.

https://t.co/pFcCYt8OuC