standard normal distribution table standardize normal distribution table

How to identify standard normal tabulation in z table

Standard Normal Distribution Table In Epidemiology and Environmental Health Application: Biostatistics (Part I/IV)

This article is going to discuss the ideas of the normal tabulation of data, their characteristics and the way to convert their normal tabulation into z – score. The normality of data is very important in epidemiology and data analysis as they are pre-requisite for the identification the suitability of the bivariate analysis (parametric and non – parametric test). Using the standard normal tabulation of data, researchers can further understand their tabulation in a SIMILAR manner by converting everything into the Z tabulation of data.  Summary of the lecture in this videos as follows:

  1. What is normal tabulation of data
  2. What are the characteristics of the normal tabulation of data
  3. What is one, two or three standard deviation tabulation of data in normal tabulation
  4. How to calculate or convert the variables that are normally tabulated into the z standard tabulation of data

Standard Normal Distribution Table Standardize Normal Distribution Table

Video explains the normal tabulation and standard normal tabulation data

 



Standard Normal Tabulation Table for Z Score

Standard Normal Distribution Table

 

This video explains the ideas of the normal tabulation of data, you can further understand these ideas by answering questions and get involve the discussion with us for the answers.

Question 1:

The factory workers salary A is normally distributed with a mean of RM1,000 and a standard deviation of RM100. What is the value of z for salaries:
i) X = RM1,100? and
ii) X = RM900?

 

Question 2:

You are studying the annual salaries salary of a clerk at a large company in Kuching. The annual salary of the clerk is RM14,000 and the standard deviation is RM1,500. Suppose the annual salary distribution of clerks is normal. What is the value of z for salaries:
a. X = 16,000?
b. X = 12,500?

 

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