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Find the following probabilities for the standard normal distribution. a. \(P(z<-2.34)\) b. \(P(.67 \leq z \leq 2.59)\) c. \(P(-2.07 \leq z \leq-.93)\) d. \(P(z<1.78)\)

Short Answer

Expert verified
The probabilities for the given z-scores are as follows: a) P(z<-2.34) = 0.0094, b) P(.67 ≤ z ≤ 2.59) = 0.9951 - 0.7486 = 0.2465, c) P(-2.07 ≤ z ≤ -0.93) = 0.1753 - 0.0192 = 0.1561, d) P(z<1.78) = 0.9625

Step by step solution

01

Understand the notations and the Problem

In the standard normal distribution, 'z' is the number of standard deviations from the mean. P(z<a) represents the probability that the z-value is less than 'a', P(a≤z≤b) represents the probability that the z-value is between 'a' and 'b'. These probability values can be found using the standard normal distribution table.
02

Find the probability for P(z

Look up the z-score in the standard normal distribution table. For the z-score of -2.34, the corresponding probability is 0.0094
03

Calculate the probability for P(.67 ≤ z ≤ 2.59)

This requires calculating the probabilities for the range encompassed by z-scores of 0.67 and 2.59. On the standard normal distribution table, find the probabilities for these scores - P(z<0.67) is 0.7486, P(z<2.59) is 0.9951. Subtract P(z<0.67) from P(z<2.59) to get the cumulative probability within this range.
04

Calculate the probability for P(-2.07 ≤ z ≤ -0.93)

On the standard normal distribution table, find the probabilities for z-scores -2.07 and -0.93. P(z<-2.07) is 0.0192, P(z<-0.93) is 0.1753. Subtract P(z<-2.07) from P(z<-0.93) to get the cumulative probability within this range.
05

Find the probability for P(z

Look up the z-score of 1.78 in the standard normal distribution table. The corresponding probability is 0.9625

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