Concept explainers
Find the average, variance, and standard deviation for the height, age, and mass of a basketball team.
Answer to Problem 12P
The average height is
The variance of height is
The standard deviation of height is
The average mass is
The variance of mass is
The standard deviation of mass is
The average age is
The variance of age is
The standard deviation of age is
Explanation of Solution
Consider Golden state warriors (GSW) basketball team for the analysis.
Tabulate the details collected from the GSW team as in Table 1.
Players | Age (years) | height (cm) | mass (kg) |
1 | 28 | 201 | 97.5 |
2 | 30 | 206 | 108.9 |
3 | 30 | 190 | 86.2 |
4 | 28 | 211 | 122.5 |
5 | 24 | 206 | 101.6 |
6 | 35 | 198 | 97.5 |
7 | 25 | 188 | 81.2 |
8 | 22 | 206 | 99.8 |
9 | 33 | 201 | 87.1 |
10 | 26 | 203 | 97.5 |
11 | 23 | 201 | 112.9 |
12 | 26 | 198 | 95.3 |
Find the average
Here, the data points are
The number of observations is 12.
Find the variance (v) using the equation.
Find the standard deviation (s) using the equation.
Height:
Calculate the values to find the average, variance, and standard deviation as in Table 2.
S No | height (cm) | ||
1 | 201 | 0.25 | 0.0625 |
2 | 206 | 5.25 | 27.5625 |
3 | 190 | –10.75 | 115.563 |
4 | 211 | 10.25 | 105.063 |
5 | 206 | 5.25 | 27.5625 |
6 | 198 | –2.75 | 7.5625 |
7 | 188 | –12.75 | 162.563 |
8 | 206 | 5.25 | 27.5625 |
9 | 201 | 0.25 | 0.0625 |
10 | 203 | 2.25 | 5.0625 |
11 | 201 | 0.25 | 0.0625 |
12 | 198 | –2.75 | 7.5625 |
Refer the Table 2 for the calculation values.
Substitute 2409 cm for
Therefore, the average height is
Substitute 486.25 cm2 for
Therefore, the variance of height is
Substitute 486.25 cm2 for
Therefore, the standard deviation of height is
Mass:
Calculate the values to find the average, variance, and standard deviation as in Table 3.
S No | mass (kg) | ||
1 | 97.5 | –1.5 | 2.25 |
2 | 108.9 | 9.9 | 98.01 |
3 | 86.2 | –12.8 | 163.84 |
4 | 122.5 | 23.5 | 552.25 |
5 | 101.6 | 2.6 | 6.76 |
6 | 97.5 | –1.5 | 2.25 |
7 | 81.2 | –17.8 | 316.84 |
8 | 99.8 | 0.8 | 0.64 |
9 | 87.1 | –11.9 | 141.61 |
10 | 97.5 | –1.5 | 2.25 |
11 | 112.9 | 13.9 | 193.21 |
12 | 95.3 | –3.7 | 13.69 |
Refer to Table 2 for the calculation values.
Substitute 1188 kg for
Therefore, the average mass is
Substitute 1493.6 kg2 for
Therefore, the variance of mass is
Substitute 1493.6 kg2 for
Therefore, the standard deviation of mass is
Age:
Calculate the values to find the average, variance, and standard deviation as in Table 4.
S No | Age (years) | ||
1 | 28 | 0.5 | 0.25 |
2 | 30 | 2.5 | 6.25 |
3 | 30 | 2.5 | 6.25 |
4 | 28 | 0.5 | 0.25 |
5 | 24 | –3.5 | 12.25 |
6 | 35 | 7.5 | 56.25 |
7 | 25 | –2.5 | 6.25 |
8 | 22 | –5.5 | 30.25 |
9 | 33 | 5.5 | 30.25 |
10 | 26 | –1.5 | 2.25 |
11 | 23 | –4.5 | 20.25 |
12 | 26 | –1.5 | 2.25 |
Refer the Table 2 for the calculation values.
Substitute 330 years for
Therefore, the average age is
Substitute 173 (years)2 for
Therefore, the variance of age is
Substitute 173 (years)2 for
Therefore, the standard deviation of age is
Want to see more full solutions like this?
Chapter 19 Solutions
ENGINEERING FUNDAMENTALS
- Imagine that you and four of your classmates have measured the density of air and recorded the values shown in the accompanying table. Determine the average, variance, and standard deviation for the measured density of air. Density of Air (kg/m3) 1.27 1.21 1.28 1.25 1.24arrow_forwardFor Problem 19.22 , determine the probability (assuming normal distribution) that a light bulb would have a life expectancy less than 900 hours.arrow_forwardFor Problem 19.39 , determine the probability (assuming normal distribution) that a tire could be used reliably for more than 50,000 kilometers.arrow_forward
- For Problem 19.39 , determine the probability (assuming normal distribution) that a tire could be used reliably for less than 45,000 kilometers.arrow_forwardYou are to write down on a piece of paper the number of credits you are taking this semester. Your instructor will then collect the data and share the results with the class. Calculate the mean and standard deviation of the data. Assuming a normal distribution, determine the probability that a student is taking between 12 to 15 credits this semester. What is the probability that a student is taking less than 12 credits?arrow_forwardA textile fiber manufacturer is investigating a new drapery yarn, which the company claims has a mean thread elongation of 12 kilograms with a standard deviation of 0.5 kilograms. The company wishes to test the hypothesis H0: µ = 12 against H1: µ < 12 using a random sample of n = 4 specimens. Calculate the P-value if the observed statistic is x = 11.5. Round your final answer to five decimal places. Show all the necessary solutions. P-value: Blank 1 Blank 1 Add your answerarrow_forward
- In this problem you are asked to investigate how much water a leaky faucet wastes in one week, one month, and one year. Perform an experiment by placing a container under a leaky faucet and actually measure the amount of water accumulated in an hour (you can simulate a leaky faucet by just partially closing the faucet). You are to design the experiment. Think about the parameters that you need to measure. Express and project your findings in gallons/day, gallons/week, gallons/month, and gallons/year. At this rate, how much water is wasted by 10,000,000 households with leaky faucets. Write a brief report to discuss your findings.arrow_forwardLABORATORY ACTIVITY DISCHARGE MEASUREMENT USING MEASURING TANK Please Answer the following: Measurement: How can a measuring tank be used to measure discharge? What role does the physical property of the fluid play in the discharge of the fluid in experimentation? How does the value of the discharge change if the volume is bigger? What are the different things can affect how much fluid comes out of a tube, even though they all have the same volume when they are being used in experiments.arrow_forward8.4 Consider a population consisting of the following five values, which represent the number of DVD rentals during the academic year for each of five housemates: 8 14 16 10 11 a. Compute the mean of this population. b. Select a random sample of size 2 by writing the five numbers in this population on slips of paper, mixing them, and then selecting two. Compute the mean for your sample. c. Repeatedly select random samples of size 2, and compute the x value for each sample until you have the x values for 25 samples. d. Construct a density histogram using the 25 x values. Are most of the x values near the population mean? Do the x values differ a lot from sample to sample, or do they tend to be similar? (Hint: See Example 8.1.)arrow_forward
- 2) Items produced in an industrial process can be dassified as either defective or non defective. The probability that an item is defective is 0.1. An experiment is conducted in which 5 items are drawn randomly from the process. Let the random variable x be the number of defective items in this sample of five. Determine the probability mass function f(x).arrow_forwardTwo sets of data shown below represent male and female students' lengths in (cm) in a college. Determine the Coefficient of Variation of male and female students, and then select the correct choices: Set (1) Male Students 152 164 180 175 165 Set (2) Female Students 155 168 164 158 179 C.V. female > C.V. male C.V. female = 0.051 C.V. male > C.V. female C.V. male = 0.085arrow_forward1. What is the value of M1 and M2? 2. What is the percent error if the true value is 149 g?arrow_forward
- Engineering Fundamentals: An Introduction to Engi...Civil EngineeringISBN:9781305084766Author:Saeed MoaveniPublisher:Cengage Learning