A sample of size 126 will be drawn from a population with mean 26 and standard deviation 3. Use the TI-84 calculator.
Part 1 Find the probability that x will be more than 25. Round the answer to at least four decimal places. The probability that x will be more than 25 is_______ .
Part 2 Find the 55th percentile of x. Round the answer to two decimal places. The 55th percentile is_________ .

Respuesta :

Answer:

1. The probability that x will be more than 25 is 0.6305.

2. The 55th percentile is 26.38.

Step-by-step explanation:

Normal Probability Distribution

Problems of normal distributions can be solved using the z-score formula.

In a set with mean [tex]\mu[/tex] and standard deviation [tex]\sigma[/tex], the z-score of a measure X is given by:

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Mean 26 and standard deviation 3.

This means that [tex]\mu = 26, \sigma = 3[/tex]

1 Find the probability that x will be more than 25.

This is 1 subtracted by the p-value of Z when X = 25. So

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

[tex]Z = \frac{25 - 26}{3}[/tex]

[tex]Z = -0.333[/tex]

[tex]Z = -0.333[/tex] has a p-value of 0.3695.

1 - 0.3695 = 0.6305.

The probability that x will be more than 25 is 0.6305.

2 Find the 55th percentile of x.

This is X when Z has a p-value of 0.55, so X when Z = 0.125.

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

[tex]0.125 = \frac{X - 26}{3}[/tex]

[tex]X - 26 = 0.125*3[/tex]

[tex]Z = 26.38[/tex]

The 55th percentile is 26.38.