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Nitella [24]
3 years ago
12

The miles-per-gallon obtained by the 1995 model q cars is normally distributed with a mean of 22 miles-per-gallon and a standard

deviation of 5 miles-per-gallon. what is the probability that a car will get less than 21 miles-per-gallon? (4 decimal format = 0.0000)

Mathematics
2 answers:
nikitadnepr [17]3 years ago
5 0

Answer:

The probability that a car will get less than 21 miles-per-gallon is 0.4207.

Step-by-step explanation:

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

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

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 problem, we have that:

\mu = 22, \sigma = 5

What is the probability that a car will get less than 21 miles-per-gallon?

This probability is the pvalue of Z when X = 21. So

Z = \frac{X - \mu}{\sigma}

Z = \frac{21 - 22}{5}

Z = -0.2

Z = -0.2 has a pvalue of 0.4207.

So the probability that a car will get less than 21 miles-per-gallon is 0.4207.

mina [271]3 years ago
4 0
That probability is about 0.4207.

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Answer:

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Step-by-step explanation:

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8 0
3 years ago
Select the correct answer.
valkas [14]

Answer:

  • <u><em>Option D. 0.50</em></u>

Explanation:

1. Two-way table:

                Calories per Day:

                1000 to 1500      1500 to 2000     2000 to 2500   Total

Weight

120 lb.               90                        80                        10                180

145 lb.               35                       143                        25               203

165 lb.                15                        27                        75                 117

Total                 140                     250                       110               500

2. Total number of persons

Look at the intersection of the totals for the columns and the rows: 500

3. Number of persons that consume 1,500 to 2,000 calories in a day

Look at the total for the column 1,500 to 2,000 calories per day: 250

4. Probability that a person consumes 1,500 to 2,000 calories in a day, P

  • P = number of persons that consume 1,500 to 2,000 calories / total number of persons

  • P = 250 / 500 = 0.50 ↔ option D.
6 0
3 years ago
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