The values are choosen from standard normal distribution.
Standard normal distribution has mean =
= 0 and standard
deviation =
= 1
a )
we have to find P( z <= 2.15 )
Using Excel function, { =NORMSDIST( z ) This function returns area less than z }
P( z <= 2.15 ) = NORMSDIST(2.15 ) = 0.9842
Proportion of the values at most 2.15 is the same as the proportion of values less than 2.15 = 0.9842
b )
i ) We have to find P( Z > 1.50 )
P( Z > 1.50 ) = 1 - P( Z <= 1.50 )
Using Excel, P( z <= 1.50) = NORMSDIST(1.50) = 0.9332
P( Z > 1.50 ) = 1 - 0.9332 = 0.0668
Proportion of the values will be exceeds 1.50 is 0.0668
ii)
Proportion of the values that will be exceeds -2.0
P( Z > -2 ) = 1 - P( Z <= -2 )
Using Excel, P( z <= -2) = NORMSDIST(-2) = 0.02275
P( Z > -2 ) = 1 - 0.02275 = 0.9773
Proportion of the values that will be exceeds -2.0 is 0.9773 .
c)
We have to find P( -1.23 < Z < 2.85 )
P( -1.23 < Z < 2.85 ) = P( Z < 2.85 ) - P( Z < -1.23 )
Using Excel,
P( -1.23 < Z < 2.85 ) = NORMSDIST(2.85) - NORMSDIST(-1.23) = 0.8885
Proportion of the values that will between -1.23 and 2.85 is 0.8885
d )
i ) Proportion of values that will be exceeds 5
P( Z > 5 ) = 1 - P( Z < 5 )
Using Excel, P( z <= 5) = NORMSDIST(5) = 0.999999713
1
P( Z > 5 ) = 1 - 1 = 0
Proportion of values that will be exceeds 5 is zero.
ii) Proportion of values that will be exceeds -5
P( Z > -5 ) = 1 - P( Z < -5 )
Using Excel, P( z <= -5) = NORMSDIST-(5) =0.0000002
0
P( Z > -5 ) = 1 - 0 =1
Proportion of values that will be exceeds -5 is 1.
e )
We have to find P( |Z| < 2.50 )
P( |Z| < 2.50 ) = P( -2.50 < Z < 2.50 )
P( -2.50 < Z < 2.50 ) = P( Z < 2.50 ) - P( Z < - 2.50 )
Using Excel,
P( -2.50 < Z < 2.50) = NORMSDIST(2.50) - NORMSDIST(-2.50) = 0.9876
Proportion of selected values z will be satisfy |z| < 2.50 is 0.9876
30. Suppose that values are repeatedly chosen from a standard nomal distribution a. In the long...
1. Suppose that values are repeatedly chosen from the standard normal distribution, N( (1) (2) (3) What is the 24th percentile of the standard normal distribution? 0,0-1). In the long run, what proportion of values will be at most 2.15 and at least -0.51? What is the long-run proportion of selected values that will exceed -1.23?
Use Table A to find the proportion of observations from a standard Normal distribution that satisfies each of the following statements. In each case, sketch a standard Normal curve and shade the area under the curve that is the answer to the question. 6. What proportion of observations satisfy z < 2.85? Answer to 4 decimal places. Answer 7. What proportion of observations satisfy z > 2.85? Answer to 4 decimal places. Answer 8. What proportion of observations satisfy -1.66...
9 (3.22) The proportion of observations from a standard Normal distribution that take values greater than 1.58 is about 0.001) eBook 10 (3.22) The proportion of observations from a standard Normal distribution that take values less than-1.23 is about 0.0001) eBook
1. Assuming the Standard Normal Distribution, USING EXCEL find: a. What is the probability of Z < than -1.75? b. What is the probability of Z > than 1.00? c. What is the probability of Z between 1.00 and 2.00? d. 15% of the cumulative probability is above what value for Z? e. 95% of the cumulative probability is below what value for Z? f. What is the probability of Z<-2.00 OR X> 2.00? ...
Suppose x has a distribution with a mean of 30 and a standard deviation of 12. Random samples of size n = 64 are drawn. (a) Describe the x distribution and compute the mean and standard deviation of the distribution. x has ---Select--- an approximately normal a normal a Poisson a geometric a binomial an unknown distribution with mean μx = and standard deviation σx = . (b) Find the z value corresponding to x = 33. z = (c) Find P(x...
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this three questions
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question 4
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