Course Content

  • Z-Table, T-Table , Chi-Square Table

Course Content

FAQs

Find the likelihood that Z is bigger than your test statistic if your test statistic is affirmative (look up your test statistic on the Z-table, find its corresponding probability, and subtract it from one). The p-value is then calculated by multiplying this result by two.

The p-value is determined using the null hypothesis's sampling distribution of the test statistic, the sample data, and the type of test being performed (lower-tailed test, upper-tailed test, or two-sided test). For a lower-tailed test, the p-value is defined as: p-value = P(TS ts | H 0 is true) = cdf(ts)

A z-score is calculated using the formula  z = (x-μ)/σ, where x is the raw score, population mean, and population standard deviation. The z-score is just the raw score minus the population mean, divided by the population standard deviation, as shown in the formula.

The Z-Test is a statistical test that helps you determine whether the difference between two groups is statistically significant. It is used in many fields, including psychology, economics, and education.

As previously stated, the p-value can aid in determining support for or against a claim by quantifying the evidence when testing a hypothesis in statistics. The p-value will be calculated using the following Excel formula:=tdist(x,deg_freedom,tails)

Recommended Courses

Share With Friend

Have a friend to whom you would want to share this course?

Download LearnVern App

App Preview Image
App QR Code Image
Code Scan or Download the app
Google Play Store
Apple App Store
598K+ Downloads
App Download Section Circle 1
4.57 Avg. Ratings
App Download Section Circle 2
15K+ Reviews
App Download Section Circle 3
  • Learn anywhere on the go
  • Get regular updates about your enrolled or new courses
  • Share content with your friends
  • Evaluate your progress through practice tests
  • No internet connection needed
  • Enroll for the webinar and join at the time of the webinar from anywhere