7.2 the standard normal distribution. standard normal the standard normal curve is the one with mean...
TRANSCRIPT
Standard NormalThe standard normal curve is the one
with mean μ = 0 and standard deviation σ = 1
We have related the general normal random variable to the standard normal random variable through the Z-score
In this section, we discuss how to compute with the standard normal random variable
Standard NormalThere are several ways to
calculate the area under the standard normal curve◦What does not work – some kind of a
simple formula◦We can use a table (such as Table IV
on the inside back cover)◦We can use technology (a calculator
or software)Using technology is preferred
Area Calculations
●Three different area calculationsFind the area to the left ofFind the area to the right ofFind the area between
Table Method● "To the left of" – using a table● Calculate the area to the left of Z =
1.68 Break up 1.68 as 1.6 + .08 Find the row 1.6 Find the column .08
(Table is IV on back cover)
● The probability is 0.9535
Table Method● "To the right of" – using a table● The area to the left of Z = 1.68 is 0.9535
● The right of … that’s the remaining amount
● The two add up to 1, so the right of is1 – 0.9535 = 0.0465
Table● The area between -0.51 and 1.87
The area to the left of 1.87, or 0.9693 … minus
The area to the left of -0.51, or 0.3050 … which equals
The difference of 0.6643
● Thus the area under the standard normal curve between -0.51 and 1.87 is 0.6643
A different “Between”Between Z = – 0.51 and Z = 1.87
We want
We delete theextra on the left
We delete theextra on the right
Different “Between”● Again, we can use any of the three
methods to compute the normal probabilities to get
● The area between -0.51 and 1.87 The area to the left of -0.51, or 0.3050 …
plus The area to the right of 1.87, or .0307 …
which equals The total area to get rid of which equals
0.3357
● Thus the area under the standard normal curve between -0.51 and 1.87 is 1 – 0.3357 = 0.6643
Z-Score●We did the problem:
Z-Score Area●Now we will do the reverse of
thatArea Z-Score
● This is finding the Z-score (value) that corresponds to a specified area (percentile)
Z-Score● “To the left of” – using a table● Find the Z-score for which the area to
the left of it is 0.32 Look in the middle of the table … find 0.32
The nearest to 0.32 is 0.3192 … a Z-Score of -.47
Z-Score"To the right of" – using a tableFind the Z-score for which the
area to the right of it is 0.4332Right of it is .4332 … left of it
would be .5668A value of .17
Middle RangeWe will often want to find a
middle range, to find the middle 90% or the middle 95% or the middle 99%, of the standard normal
The middle 90% would be
Middle90% in the middle is 10% outside
the middle, i.e. 5% off each endThese problems can be solved in
either of two equivalent waysWe could find
◦The number for which 5% is to the left, or
◦The number for which 5% is to the right
MiddleThe two possible ways
◦The number for which 5% is to the left, or
◦The number for which 5% is to the right
5% is to the left 5% is to the right
Terminology● The area under a normal curve can be
interpreted as a probability● The standard normal curve can be
interpreted as a probability density function
● We will use Z to represent a standard normal random variable, so it has probabilities such as P(a < Z < b) P(Z < a) P(Z > a)
Calculator Method● "To the left of" – using a calculator
● Calculate the area to the left of Z = 1.68●P(Z < 1.68) Normalcdf(small number, z,0,1)
Menu, 5:Probability, 2:Normal Cdf Lower Bound: Upper Bound: µ : :Normalcdf(
Find a Z-Score if given a probability● “To the left of” – using a Calculator● Find the Z-score for which the area to
the left of it is 0.32
InvNorm(.32,0,1)
Z-Score"To the right of" – using a
calculatorFind the Z-score for which the
area to the right of it is 0.4332Important: Calculator can only do
“left of” for inverse normal functions
Therefore, we need to convert this to a “left of”