1. A university has 10,000 students of which 45% are male and 55% are female. If...

1. A university has 10,000 students of which 45% are male and 55% are female. If a class of 30 students is chosen at random from the university population, find the mean and variance of the number of male students. Group of answer choices Mean = 16.5, Variance = 2.7 Mean = 13.5, Variance = 2.7 Mean = 16.5, Variance = 7.4 Mean = 13.5, Variance = 7.4

2. At a particular hospital, 40% of staff are nurse assistants. If 12 staff members are randomly selected, what is the probability that exactly 4 are nurse assistants?

3. Let X be a binomial distribution with n = 20 and p = .4 then the variance is

4.

Find the mean of the distribution shown below.

X	2	3	4
*P(X)*	0.36	0.48	0.16

Expert Solution

Using MS-EXCEL :

Hi Dear,
I have given my 100% to solve this question.
Please help me out by just thumbs up.
Thank you.

orchestra answered 1 year ago

QUESTION 39 "A Rutgers University professor claims that 55% of male students of the university exercise...

QUESTION 39 "A Rutgers University professor claims that 55% of male students of the university exercise at least 15 minutes a day. What would be a proper conclusion if he collects data, conducts hypothesis test, and finds Z=-3.42. Use alpha = 2%." Reject H0. Professor's claim is not valid. Reject H0. Professor's claim is valid. Fail to reject H0. Professor's claim is not valid. Fail to reject H0. Professor's claim is valid.

Before 1918, approximately 55% of the wolves in a region were male, and 45% were female....

Before 1918, approximately 55% of the wolves in a region were male, and 45% were female. However, cattle ranchers in this area have made a determined effort to exterminate wolves. From 1918 to the present, approximately 70% of wolves in the region are male, and 30% are female. Biologists suspect that male wolves are more likely than females to return to an area where the population has been greatly reduced. (Round your answers to three decimal places.) (a) Before 1918,...

A random sample with 150 students has 45 female students. Estimate the population proportion of female...

A random sample with 150 students has 45 female students. Estimate the population proportion of female students at the 99% level of confidence. a. Find the right boundary of the estimation? b. Find the margin of error.

Male and female grades in one of the subjects taught to male and female students came...

Male and female grades in one of the subjects taught to male and female students came as follows: Excellent Very Good Good Acceptable Failed Female 3 11 12 4 1 Male 2 7 7 7 3 Use SPSS and study the relationship between student type and grade, and answer the following questions: A- Formulate the appropriate null hypothesis. B- Determine the value of the appropriate level of significance. C- Determine the value of the Chi square. W- Set the degrees...

The table below shows the number of male and female students enrolled in nursing at a university for a certain semester.

The table below shows the number of male and female students enrolled in nursing at a university for a certain semester. A student is selected at random. Complete parts (a) through (d). Nursing majorsNon-nursing majorsTotalMales9810161114Females60017292329Total69627453443(c) Find the probability that the student is not female or a nursing major. P(not being female or being a nursing major)=_______ Round to the nearest thousandth as needed.) (d) Are the events "being male" and "being a nursing major" mutually exclusive? Explain. A. Yes, because one can't be male and...

Finance course grade information regarding male and female students of a large university is shown belo...

Finance course grade information regarding male and female students of a large university is shown belo w ( Q1 and Q2 unknown ) and assumed unequal ). Sample size (female-24, male-28) Sample mean grade (female-29.8, male-27.3) Sample variance ( female-6,554, male-3,276) a) Test whether or not the average grade of females is significantly greater than that of males at ⍺ =0,05 % significance level? b) Develop 90 % confidence interval estimate of the difference between grade of the female and...

.Finance course grade information regarding male and female students of a large university is shown below...

.Finance course grade information regarding male and female students of a large university is shown below (?"and ?!unknown) and assumed unequal). Female Male Sample Size 24 28 Sample Mean Grade 29.8 27.3 Sample Variance 6,554 3,276 Test whether or not the average grade of females is significantly greater than that of males at ⍺=0,05 % significance level? Develop 90 % confidence interval estimate of the difference between grade of the female and male students. Not: You have to draw the...

Finance course grade information regarding male and female students of a large university is shown below...

Finance course grade information regarding male and female students of a large university is shown below (?" and ?! unknown) and assumed unequal). Sample Size Sample Mean Grade Sample Variance Female Male 24 28 29.8 27.3 6,554 3,276 a) Test whether or not the average grade of females is significantly greater than that of males at ⍺=0,05 % significance level? b) Develop 90 % confidence interval estimate of the difference between grade of the female and male students. Not: You...

Researchers equipped random samples of 46 male and 58 female students from a large university with...

Researchers equipped random samples of 46 male and 58 female students from a large university with a small device that secretly records sound for a random 30 seconds during each 12.5-minute period over two days. Then they counted the number of words spoken by each subject during each recording period and, from this, estimated how many words per day each subject speaks. The female estimates had a mean of 16,177 words per day with a standard deviation of 7520 words...

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...

Question