A) p(z < -1.26)
b) p(z > 1.48)
c) p(1.44 < z< 2.79)

Explanation:

You need to use a table with the cumulative normal standard distribution, which shows the areas for different values of Z-scores.

I attached part of the table for the cumulative probability that  gives the probability that a statistic is between 0 (the mean) and Z.

a) P (Z < - 1.26)

The table shows the probabilities for positive values of Z. Since the normal distribution is symmetric P (Z < - 1.26) = P (Z > 1.26).

Also, note that you will find the probability for Z ≤ 1.26, so the probability that you want is P (Z > 1.26) = 1 - P(Z ≤ 1.26)

b) P (Z > 1.48)

c) P (1.44 < Z < 2.79)

.632

step-by-step explanation:

6 * 1/10 = 3/5

3*0.01 = 0.03

3/5 + 0.03 = .63

2*0.002 = .002

.63 + 0.002 = .632

h/o/e/s mad

step-by-step explanation:

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