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A sample of n=10 automobiles was selected, and eachwas subjected to a 5-mph crash test. Denoting a car withno visible damage by S (for success) and a car with suchdamage by F, results were as follows:

S S F S SS F F S S

  1. What is the value of the sample proportion of successes x/n?
  2. Replace each S with a 1 and each F with a 0. Then calculate for this numerically coded sample. How does compare to x/n?
  3. Suppose it is decided to include 15 more cars in the experiment. How many of these would have to be S鈥檚 to give x/n = .80 for the entire sample of 25 cars?

Short Answer

Expert verified

a. The sample proportion of successes is 0.7.

b. The sample mean is 0.7.

c. The number of S鈥檚 that are to be included to give the sample proportion as 0.80 is 13.

Step by step solution

01

Given information

The data for a 5-mph cars test is provided.

The sample number of automobiles is n=10.

The car with no visible damage is represented by S (for success) and the car with damage is represented by F.

02

Compute the sample proportion of successes

a.

Let x represents the number of successes.

The number of successes is 7.

The sample proportion of successes is computed as,

\(\begin{array}{c}\frac{x}{n} &=& \frac{7}{{10}}\\ &=& \dot 0.7\end{array}\)

Therefore, the sample proportion of successes is 0.7.

03

Compute the sample mean and compare it with proportion

b.

The number of successes is 7.

Replacing each S with a 1 and each F with 0, the data is,

1 1 0 1 1 1 1 0 0 1 1

The sample mean is computed as,

\(\begin{array}{c}\bar x &=& \frac{{\sum {{x_i}} }}{n}\\ &=& \frac{{1 + 1 + 0 + ... + 1}}{{10}}\\ &=& \frac{7}{{10}}\\ &=& 0.7\end{array}\)

Thus, the sample mean is 0.7.

The value of the sample mean is the same as the sample proportion.

04

 Step 4: Compute the number of successes

c.

The total number of cars is 25 when 15 cars are added to the sample.

The number of S鈥檚 that are to be included to give the sample proportion of 0.80 is computed as,

\(\begin{array}{c}\frac{x}{n} &=& 0.80\\x &=& \left( {0.80*n} \right)\\ &=& \left( {0.80*25} \right)\\ &=& 20\end{array}\)

Since, there were 7 S鈥檚 already, so, the additional S鈥檚 that are to be included to give the sample proportion as 0.80 is as follows,

\(20 - 7 = 13\)

Thus, there need to be 13 additional cars with no visible damage in sample of 15

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122.2 124.2 124.3 125.6 126.3 126.5 126.5 127.2 127.3

127.5 127.9 128.6 128.8 129.0 129.2 129.4 129.6 130.2

130.4 130.8 131.3 131.4 131.4 131.5 131.6 131.6 131.8

131.8 132.3 132.4 132.4 132.5 132.5 132.5 132.5 132.6

132.7 132.9 133.0 133.1 133.1 133.1 133.1 133.2 133.2

133.2 133.3 133.3 133.5 133.5 133.5 133.8 133.9 134.0

134.0 134.0 134.0 134.1 134.2 134.3 134.4 134.4 134.6

134.7 134.7 134.7 134.8 134.8 134.8 134.9 134.9 135.2

135.2 135.2 135.3 135.3 135.4 135.5 135.5 135.6 135.6

135.7 135.8 135.8 135.8 135.8 135.8 135.9 135.9 135.9

135.9 136.0 136.0 136.1 136.2 136.2 136.3 136.4 136.4

136.6 136.8 136.9 136.9 137.0 137.1 137.2 137.6 137.6

137.8 137.8 137.8 137.9 137.9 138.2 138.2 138.3 138.3

138.4 138.4 138.4 138.5 138.5 138.6 138.7 138.7 139.0

139.1 139.5 139.6 139.8 139.8 140.0 140.0 140.7 140.7

140.9 140.9 141.2 141.4 141.5 141.6 142.9 143.4 143.5

143.6 143.8 143.8 143.9 144.1 144.5 144.5 147.7 147.7

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