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

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In summary, The question is asking for the appropriate values of # for two different scenarios involving a random variable Z. One scenario involves the probability that Z is less than # being equal to 0.9, while the other involves the probability that the absolute value of Z is less than # being equal to 0.9. The answer will depend on the probability distribution, with a possible reference to a normal distribution and a corresponding table to find the desired probabilities.
  • #1
yopy
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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?
 
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  • #2
I assume Z is some random variable. What is its probability distribution?
 
  • #3
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 probabilty that z is between 0 and the given number. To find the probabilty 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.
 
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Related to Solve for P(Z<#) and P(|Z|<#) in Simple Statistics Problem

What is a simple statistics problem?

A simple statistics problem involves analyzing data and making conclusions based on that data. It usually involves basic calculations such as mean, median, and mode, and can be solved using simple statistical formulas.

What are the steps to solving a simple statistics problem?

The steps to solving a simple statistics problem include identifying the question or problem, gathering and organizing the data, calculating the appropriate measures of central tendency and variation, analyzing the results, and drawing conclusions based on the data and calculations.

What are some common types of simple statistics problems?

Some common types of simple statistics problems include finding the mean, median, and mode of a set of data, calculating the standard deviation, and conducting hypothesis tests such as t-tests or ANOVA.

What tools can be used to solve a simple statistics problem?

There are many tools that can be used to solve a simple statistics problem, including basic calculators, statistical software such as SPSS or Excel, and online calculators or statistical tools.

Why is understanding basic statistics important?

Understanding basic statistics is important because it allows us to make informed decisions based on data. It helps us to interpret and analyze information, identify patterns and trends, and make predictions. In many fields, such as healthcare, finance, and marketing, a basic understanding of statistics is essential for making evidence-based decisions.

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