Inequalities in Normal Distributions

In summary: From the curve, you can see that P(Z > 1) is the area under the curve to the right of z = 1. So, to find the area between -1 and 1, you can find the area to the right of 1 and subtract it from 1 (since the total area is 1). This is the same as finding 1 - 2P(Z>1). In summary, P(-1<Z<1) is equal to 1-2P(Z>1) because of the symmetry of the standard normal curve and the fact that the total area under the curve is 1. This relationship can be used to find the values on the Normal Distribution Table.
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Cpt Qwark
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Homework Statement



How does P(-1<Z<1) equal to 1-2P(Z>1)?
(So you can find the values on the Normal Distribution Table)

Homework Equations

The Attempt at a Solution


I tried P(-1+1<Z+1<1+1) but ended up with P(1<Z+1<2).
 
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The normal distribution function is symmetric, f(z)=f(-z). The table shows the values of Cumulated Distribution Function F(Z) =P(-∞<z <Z). The probability P(Z<z<∞)=1-F(Z). Because of the symmetry, P(Z<z<∞)=P(-∞<z<-Z), F(-Z)=1-F(Z). The probability that the variable z is between -Z and Z is [tex]P(-Z<z<Z)=F(Z)-F(-Z) = F(Z)-(1-F(Z))[/tex].
 
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  • #3
Cpt Qwark said:

Homework Statement



How does P(-1<Z<1) equal to 1-2P(Z>1)?
(So you can find the values on the Normal Distribution Table)

Homework Equations

The Attempt at a Solution


I tried P(-1+1<Z+1<1+1) but ended up with P(1<Z+1<2).
The standard normal curve is symmetrical about a mean value μ = 0 like this:

http://www.spiritsd.ca/curr_content/mathb30/data/les6/images/norm_percent.gif​

The normal curve is scaled such that the total area under the curve is 1.

Since you are trying to find P(-1 < Z < 1), don't you see how that's the same probability as 1 - 2P(Z>1)?
 
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What is a normal distribution?

A normal distribution is a statistical concept that describes the distribution of a set of data in a bell-shaped curve. It is a symmetrical distribution with a mean, median, and mode all being equal. Many real-world phenomena, such as height and IQ, follow a normal distribution.

What are inequalities in normal distributions?

Inequalities in normal distributions refer to the differences in the spread or shape of the distribution. This can occur when comparing two or more groups within the same distribution, or when comparing different distributions. Inequalities can be seen in the standard deviation, skewness, or kurtosis of the data.

How do inequalities in normal distributions affect data analysis?

Inequalities in normal distributions can greatly impact data analysis. For example, if there is a large difference in standard deviation between two groups within a distribution, it may indicate that the groups are significantly different. This can also affect the validity of statistical tests and the interpretation of results.

What causes inequalities in normal distributions?

Inequalities in normal distributions can be caused by a variety of factors, such as sampling bias, outliers, or natural variation in the data. It is important to thoroughly examine the data and consider these factors when analyzing inequalities in a normal distribution.

How can inequalities in normal distributions be addressed?

Inequalities in normal distributions can be addressed by using appropriate statistical tests and techniques, such as non-parametric tests, when the data does not meet the assumptions of a normal distribution. Additionally, addressing any outliers or biases in the data can help reduce the impact of inequalities on the results.

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