The 400-meter race times recorded in the boys track meet was normally distributed with a standard deviation of 3 seconds.If David finished the race in 51.2 seconds with a z-score of -2.6, what is the mean time?

Respuesta :

Answer:

The mean time is 59 seconds.

Step-by-step explanation:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean [tex]\mu[/tex] and standard deviation [tex]\sigma[/tex], the zscore 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 pvalue, we get the probability that the value of the measure is greater than X.

In this question, we have that:

[tex]\sigma = 3[/tex]

If David finished the race in 51.2 seconds with a z-score of -2.6, what is the mean time?

This means that when X = 51.2, Z = -2.6. So

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

[tex]-2.6 = \frac{51.2 - \mu}{3}[/tex]

[tex]51.2 - \mu = -2.6*3[/tex]

[tex]\mu = 51.2 + 2.6*3[/tex]

[tex]\mu = 59[/tex]

The mean time is 59 seconds.

Answer:

The z score is defined as:

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

If we solve for the mean [tex]\mu[/tex] we got:

[tex] \mu = X -z\sigma[/tex]

Replacing we got:

[tex]\mu = 51.2 - (-2.6)*3 = 59[/tex]

Step-by-step explanation:

For this case we have the following info given:

[tex] z = -2.6[/tex] represent the z score

[tex] \sigma=3[/tex] represent the population deviation

[tex] x= 51.2[/tex] represent the time for David

The z score is defined as:

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

If we solve for the mean [tex]\mu[/tex] we got:

[tex] \mu = X -z\sigma[/tex]

Replacing we got:

[tex]\mu = 51.2 - (-2.6)*3 = 59[/tex]

ACCESS MORE