Solve for P(Z<#) and P(|Z|<#) in Simple Statistics Problem

  • Thread starter Thread starter yopy
  • Start date Start date
  • Tags Tags
    Statistics
Click For Summary
SUMMARY

The discussion focuses on calculating probabilities using Z-values from the normal distribution. Specifically, it addresses two problems: finding the value of '#' such that P(Z<#)=0.9 and P(|Z|<#)=0.9. The participants confirm that these calculations rely on the properties of the normal distribution and the use of a Z-table. To find P(Z<#), one must look up the Z-value and add 0.5, while for P(|Z|<#), the Z-value is multiplied by 2.

PREREQUISITES
  • Understanding of normal distribution and Z-scores
  • Familiarity with Z-tables and their usage
  • Basic knowledge of probability concepts
  • Experience with statistical functions in tools like R or Python
NEXT STEPS
  • Learn how to use Z-tables for normal distribution calculations
  • Explore the properties of the normal distribution in depth
  • Study the application of cumulative distribution functions (CDF) in statistics
  • Practice solving problems involving Z-scores in statistical software like R or Python
USEFUL FOR

Students and professionals in statistics, data analysts, and anyone looking to deepen their understanding of probability distributions and Z-score calculations.

yopy
Messages
43
Reaction score
0
The question reads exactly as follows,

Find the appropriate values for #'s.

a) P(Z<#)=.9
b) P(|Z|<#)=.9


We are currently going over distributions, poissons, density functions and binomial stuff, someone referenced to Z-values from a ztable but i don't know if this is what the topic at hand is. Does anyone know what they are asking?
 
Physics news on Phys.org
I assume Z is some random variable. What is its probability distribution?
 
It looks to me like they are asking "for what value of "#" is the probability that z is less than # equal to .9?" and "for what value of "#" is the probability that |z| is less than # equal to .9?" The answer, of course, will depend on the probability distribution. Since you refer to "z values" and a "z table" I suspect you are talking about a "normal distribution". Here is a table for the normal distribution:
http://people.hofstra.edu/Stefan_Waner/realworld/normaltable.html

Notice that this gives the probability that z is between 0 and the given number. To find the probability that z is less than a number, look up the value and add 0.5. To find the probability that |z| is than than the number, look up the value and multiply by 2.
 
Last edited by a moderator:

Similar threads

Replies
4
Views
2K
Replies
31
Views
4K
  • · Replies 5 ·
Replies
5
Views
5K
  • · Replies 13 ·
Replies
13
Views
3K
Replies
39
Views
6K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 3 ·
Replies
3
Views
951
  • · Replies 1 ·
Replies
1
Views
2K