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Answer:
The area under the standard normal curve to the left of z=−2.94 and to the right of z=−2.28 is 0.9903 square units.
Step-by-step explanation:
We need to find the area under the standard normal curve to the left of z=−2.94 and to the right of z=−2.28.
The standard normal table represents the area under the curve.
[tex]P(z<-2.94)\cup P(z>-2.28)=P(z<-2.94)+P(z>-2.28)[/tex] .....(1)
According to the standard normal table, we get
[tex]P(z<-2.94)=0.0016[/tex]
[tex]P(z>-2.28)=1-P(z<-2.28)=1-0.0113=0.9887[/tex]
Substitute these values in equation (1).
[tex]P(z<-2.94)\cup P(z>-2.28)=0.0016+0.98807=0.9903[/tex]
Therefore the area under the standard normal curve to the left of z=−2.94 and to the right of z=−2.28 is 0.9903 square units.
The area under the standard normal curve to the left of z = −2.94 and to the right of z = −2.28 is 0.9903 square units.
What is normal a distribution?
It is also called the Gaussian Distribution. It is the most important continuous probability distribution. The curve looks like a bell, so it is also called a bell curve.
The z-score is a numerical measurement used in statistics of the value's relationship to the mean of a group of values, measured in terms of standards from the mean.
The area under the standard normal curve to the left of z = −2.94 and to the right of z = −2.28 will be
The standard normal table represents the area under the curve.
[tex]\rm P(z < -2.94) \cap P(z > -2.28) = P(z < -2.94) + P(z > -2.28)[/tex] ...1
According to the standard normal table, we have
[tex]\rm P(z < -2.94) = 0.0016\\\\P(z > -2.94) = 1- P(z < -2.94) = 1-0.0113 = 0.9887[/tex]
Substitute these values in equation 1, we have
[tex]\rm P(z < -2.94) \cap P(z > -2.28) = 0.0016 + 0.9887 = 0.9903[/tex]
More about the normal distribution link is given below.
https://brainly.com/question/12421652