Part a) We are asked to find P( -1.53 < z< 1.89 )
We can use TI-84 calculator to find this probability.
Press 2NDkey - - > VARS key -- > select normalcdf() and hit enter .
Then plug the given values accordingly .
Scroll to paste and hit enter two times.
Answer : 0.9076
b) We are asked to find P( z <-1.53 or z >1.89 )
= 1 - P( -1.53 < z< 1.89 )
= 1- 0.9076
= 0.0924
c) We are asked to find z such that area to the right of that z is 5.5% or 0.055
Therefore area to the left of z is 1-0.055 = 0.945
We can use TI-84 calculator to find this z
Press 2NDkey - - > VARS key -- > select invNorm() and hit enter .Then plug the values accordingly.
For area : plug area to the left of z
Scroll to paste and hit enter two times.
Answer : 1.60
d) We are asked to find find two z scores such that area between then is 76.98% or 0.7698
The total area under the curve is 1, the middle area between z1 and z2 is 0.7689
Therefore area outside the z1 and z2 is 1 - 0.7689 = 0.2302
This area 0.2302 is equally distributed to both tail of the curve.
So area to the left of z1 = 0.2302/2 = 0.1151 or area to the right of z2 = 0.1151
We have to use function invNorm to find z1 and z2
For z1 , area to the left is 0.1151
Scroll to paste and hit enter two times
Therefore z1 = -1.20
Normal distribution is symmetric therefore z2 = 1.20
The two values of z such that 76.98% area is between them is -1.20 and 1.20
MAT305-02 UG Spring 2019 Session 1 Homework: Week 4 Homework Score: 0.4 of 1 pt Save...
What is the probability that Z is between negative 1.53 −1.53 and 1.84 1.84? The probability that Z is between negative 1.53 −1.53 and 1.84 1.84 is nothing . (Round to four decimal places as needed.) b. What is the probability that Z is less than negative 1.53 −1.53 or greater than 1.84 1.84? The probability that Z is less than negative 1.53 −1.53 or greater than 1.84 1.84 is nothing . (Round to four decimal places as needed.) c....
Homework 2 UG Spring 2019 Session 1 Hi, Zachary Sign Ou Homework MAT305-02 UG Spring 2019 Session 1 Homework: Week 4 Homework Score: 0 of 1 pt 6.2.5 2 of 10 (1 complete) HW Score: 8% Questi Given a normal distribution with μ = 100 and σ = 10, complete parts (a) through (d). EEB Click here to view page 1 of the cumulative standardized normal distribution table. EEB Click here to view page 2 of the cumulative standardized normal...
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