Question

In: Statistics and Probability

A population of male university students has a distribution of weights and heights that follow a...

A population of male university students has a distribution of
weights and heights that follow a bivariate normal distribution. The distribution of weights
it has an average of 72 kg and a standard deviation of 8 kg. The height distribution has an average of 170 cm and deviation
standard 10 cm. The correlation coefficient between weights and heights is 0.8. Using these
information calculate:
a) The probability of a boy's weight being between 70 and 80 kg.
b) The probability that a boy's weight is between 70 and 80 kg since his height is 180
cm.
c) The probability of a boy's height being between 175 and 185 cm.
d) The probability of a boy's height being between 175 and 185 cm given that his weight is 80
kg.

Solutions

Expert Solution


Related Solutions

Suppose that the heights of male students at a university have a normal distribution with mean...
Suppose that the heights of male students at a university have a normal distribution with mean = 65 inches and standard deviation = 2.0 inches. A randomly sample of 10 students are selected to make up an intramural basket ball team. i) What is the mean (mathematical expectation) of xbar? ii) What is the standard deviation of x bar? iii) What is the probability that the average height (x bar) of the team will exceed 69 inches? iv) What is...
Suppose that male adult weights follow a normal distribution with a mean of 182.9lb and a...
Suppose that male adult weights follow a normal distribution with a mean of 182.9lb and a standard deviation of 40.8lb. 1.Find the probability that 1 randomly selected male has a weight greater than 156.25 lb. 2.Find the probability that a sample of 16 males have a mean weight greater than 156.25 lb.
The heights of a female population follow a normal distribution with a mean of 48 inches...
The heights of a female population follow a normal distribution with a mean of 48 inches and a standard deviation of 6 inches. If a random sample of 16 subjects were taken, what is the probability that the average height of the sample is higher than 50 inches?
The heights of female students at a university follows Normal distribution with a mean 66 inches...
The heights of female students at a university follows Normal distribution with a mean 66 inches and a standard deviation 3 inches. A researcher randomly selects 36 female students from the university, surveys their heights and calculates a sample mean. Now suppose that the population standard deviation is unknown. Also, the researcher calculate the sample standard deviation to be 3 inches. a) What is the probability that the sample mean height is between 65 inches and 67 inches? b) Instead...
Suppose that we wish to test whether the population mean of weights of male students at...
Suppose that we wish to test whether the population mean of weights of male students at a certain college to be larger than 68 kilograms. Consider α = 0.05 level of significance and assume normal population. We have a random sample with size 10, x = 70 and s^2 = 10. 1. Complete the test by finding out its critical region and draw your conclusion. 2. Complete the test by finding out its p-value and draw your conclusion. Is your...
Suppose that we wish to test whether the population mean of weights of male students at...
Suppose that we wish to test whether the population mean of weights of male students at a certain college to be larger than 68 kilograms. Consider α = 0.05 level of significance and assume normal population. We have a random sample with size 10, x = 70 and s^2 = 10. 1. Complete the test by finding out its critical region and draw your conclusion. 2. Complete the test by finding out its p-value and draw your conclusion. Is your...
Consider the approximately normal population of heights of male college students with mean μ = 68...
Consider the approximately normal population of heights of male college students with mean μ = 68 inches and standard deviation of σ = 4.6 inches. A random sample of 13 heights is obtained. (b) Find the proportion of male college students whose height is greater than 71 inches. (Round your answer to four decimal places.) e) Find P(x > 71). (Round your answer to four decimal places.) (f) Find P(x < 70). (Round your answer to four decimal places.)
Consider the approximately normal population of heights of male college students with mean μ = 72...
Consider the approximately normal population of heights of male college students with mean μ = 72 inches and standard deviation of σ = 8.2 inches. A random sample of 12 heights is obtained. (a) Describe the distribution of x, height of male college students. skewed right, approximately normal, skewed left (b) Find the proportion of male college students whose height is greater than 74 inches. (Give your answer correct to four decimal places.) (c) Describe the distribution of x, the...
Consider the approximately normal population of heights of male college students with mean μ = 64...
Consider the approximately normal population of heights of male college students with mean μ = 64 inches and standard deviation of σ = 4.6 inches. A random sample of 10 heights is obtained. (a) Describe the distribution of x, height of male college students. skewed leftapproximately normal    skewed rightchi-square (b) Find the proportion of male college students whose height is greater than 74 inches. (Round your answer to four decimal places.) (c) Describe the distribution of x, the mean of samples...
Suppose the heights (in inches) of all college students follow a Normal distribution with standard deviation...
Suppose the heights (in inches) of all college students follow a Normal distribution with standard deviation σ=3. A sample of 25 students is taken from the population; the average height of these students is 68.4 inches. Does this sample data provide strong evidence that the average height of all students is less than 70 inches? Which test should be used? What is the null hypothesis? What is the alternative hypothesis? What is the p-value?
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT