High School

Summer high temperatures are distributed normally with a mean of 97.6 and a standard deviation of 3.5.

What is the summer high temperature that is the 78th percentile of this distribution?
A) 100.3
B) 94.9
C) 100.3
D) 94.9
E) None of the above

What is the probability that a randomly selected summer day has a high temperature of 99?
A) 0.9394
B) 0.6554
C) 0.0606
D) 0.3446
E) 0

What is the probability that a randomly selected summer day has a high temperature greater than 99?
A) 0.0606
B) 0
C) 0.3446
D) 0.6554
E) 0.9394

What is the probability that a randomly selected group of 15 summer days have an average high temperature greater than 99?

Answer :

To solve the problems given, we need to understand the properties of a normal distribution and use the z-score formula. The mean (\mu\u00a0) of the distribution is 97.6, and the standard deviation (\sigma\u00a0) is 3.5.

  1. Finding the 78th Percentile:

    Percentiles indicate the value below which a given percentage of observations fall. To find the 78th percentile, we need to determine the z-score that corresponds to 0.78 in the standard normal distribution table.

    For a z-score of approximately 0.772, the formula used is:
    [

x = \mu + z \times \sigma
]
[tex]x = 97.6 + 0.772 \times 3.5 = 100.292[/tex]
Thus, the temperature that is the 78th percentile of this distribution is approximately 100.3. The answer is A) 100.3.

  1. Probability of a Specific Temperature:

    To find the probability of a temperature of 99, we use:
    [

z = \frac{99 - 97.6}{3.5} \approx 0.4
]
Checking z-tables or using a calculator, the probability for z = 0.4 is about 0.6554.

The probability that a summer day has a high of exactly 99 is approximately 0 because we deal with continuous distributions. Specific values have a probability of 0.

  1. Probability of Temperature Greater Than 99:

    First, find the cumulative probability:

    Since the z-score for 99 was found to be 0.4, and the cumulative probability of z = 0.4 is 0.6554, the probability of the temperature being greater than 99 is:
    [

p( x > 99 ) = 1 - 0.6554 = 0.3446
]
Thus, the probability that a randomly selected summer day has a temperature greater than 99 is C) 0.3446.

  1. Average Temperature for 15 Days Greater Than 99:

    When dealing with the average of several observations, we use the central limit theorem. The means of samples will have a normal distribution with:

    [

\mu_{\text{sample}} = \mu = 97.6
]
[tex]\sigma_{\text{sample}} = \frac{\sigma}{\sqrt{n}} = \frac{3.5}{\sqrt{15}} \approx 0.903[/tex]

Calculate the z-score for an average temperature of 99:
[tex]z = \frac{99 - 97.6}{0.903} \approx 1.548[/tex]

Find this cumulative probability for z = 1.548 which is about 0.9394, and therefore:
[tex]p( \bar{x} > 99 ) = 1 - 0.9394 = 0.0606[/tex]
This means the probability that the average temperature of 15 days is greater than 99 is A) 0.0606.

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