Respuesta :

Answer:

[tex]\boxed{\boxed{P(55.5 < X< 69.7)=0.01992}}[/tex]

Step-by-step explanation:

We know that,

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

where,

Z = z-score,

X = raw score,

μ = mean,

σ = standard deviation.

So,

[tex]=P(55.5 < X< 69.7)[/tex]

[tex]=P(55.5-35 < X-35< 69.7-35)[/tex]

[tex]=P(\dfrac{55.5-35}{10}< \dfrac{X-35}{10}< \dfrac{69.7-35}{10})[/tex]

[tex]=P(\dfrac{55.5-35}{10}< Z< \dfrac{69.7-35}{10})[/tex]

[tex]=P(2.05< Z<3.47)[/tex]

[tex]=P(Z<3.47)-P(Z<2.05)[/tex]

[tex]=0.99974-0.97982\\\\=0.01992[/tex]

The probability of [tex]P\left({55.5<X<69.7}\right)[/tex] is [tex]\boxed{0.01992}[/tex].

Further Explanation:

The Z score of the standard normal distribution can be obtained as,

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

Here, Z is the standard normal value, [tex]\mu[/tex] represents the mean, [tex]\sigma[/tex] represents the standard deviation.

Given:

The mean of test is [tex]\mu =35[/tex].

The standard deviation of the waiting time is [tex]\sigma=10[/tex].

Explanation:

The probability of mean lies between 55.5 to 69.7 can be calculated as follows,

[tex]\begin{aligned}{\text{Probability}}&=P\left({55.5<X<69.7}\right)\\&=P\left({55.5-\mu <X-\mu <69.7-\mu }\right)\\&=P\left({\frac{{55.5 - \mu }}{\sigma }<\frac{{X-\mu }}{\sigma }<\frac{{69.7-\mu }}{\sigma}}\right)\\\end{aligned}[/tex]

Further solve the above equation to obtain the probability.

[tex]\begin{aligned}{\text{Probability}}&=\left({\frac{{55.5-35}}{{10}}<Z<\frac{{69.7-35}}{{10}}}\right)\\&=\left({2.05<Z<3.47}\right)\\\end{aligned}[/tex]

The probability of [tex]P\left({Z<3.47}\right)=0.99974[/tex].

The probability [tex]P\left({Z<2.05}\right)=0.97982[/tex].

The probability can be calculated as follows.

[tex]\begin{aligned}{\text{Probability}}&=P\left({Z<3.47}\right)-P\left({Z<2.05}\right)\\&=0.99974-0.97982\\\end{aligned}[/tex]

Hence, the probability of [tex]P\left({55.5<X<69.7}\right)[/tex] is [tex]\boxed{0.01992}[/tex].

Learn more:

1. Learn more about normal distribution https://brainly.com/question/12698949

2. Learn more about standard normal distribution https://brainly.com/question/13006989

3. Learn more about confidence interval of mean https://brainly.com/question/12986589

Answer details:

Grade: College

Subject: Statistics

Chapter: Confidence Interval

Keywords: Z-score, Z-value, binomial distribution, standard normal distribution, standard deviation, test, measure, probability, low score, mean, repeating, indicated, normal distribution, percentile, percentage, proportion, empirical rule.