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Get college assignment help at uniessay writers To estimate the mean height μ of male students on your campus, you will measure an SRS of students. Heights of people of the same sex and similar ages are close to Normal. You know from government data that the standard deviation of the heights of young men is about 2.8 inches. Suppose that (unknown to you) the mean height of all male students is 70 inches. (a) If you choose one student at random, what is the probability that he is between 69 and 71 inches tall? (b) You measure 25 students. What is the sampling distribution of their average height ? (c) What is the probability that the mean height of your sample is between 69 and 71 inches?

Find the null and alternative hypothesis for the following: the majority of college students that have credit cards

The employees of a hospital were surveyed on questions regarding their educational background and marital status. Of the 600 employees, 400 had college degrees, 100 were single, and 60 were single college graduates. The probability that an employee of the hospital is single or has a college degree is

1. The Young Republicans Club asked its members how many hours they had worked during the previous week in part-time jobs. The following data lists the number of hours spent working during the previous week. 6 6 6 4 6 6 9 8 7 3 7 8 6 7 6 7 7 6 6 8 6 7 8 4 a. From these data complete the frequency table below. Round the relative frequencies to three decimal places

A company produces a women’s bowling ball that is supposed to weigh exactly 14 pounds. Unfortunately, the company has a problem with the variability of the weight. In a sample of 5 of the bowling balls the sample standard deviation was found to be 0.6 pounds. Construct a 95% confidence interval for the variance of the bowling ball weight.

. Problem. Over a long period of time in a large multinational corporation, 10% of all sales trainees are rated as outstanding, 75% are rate excellent/good, 10% are rated satisfactory, and 5% are considered unsatisfactory. Find the following probabilities for a sample of n = 10 trainees selected at random: (a) Two or more are rated as outstanding. (b) None of the trainees are rated as unsatisfactory. (c) Two are rated outstanding, six are rated excellent/good, one is rated satisfactory,..

1. Diseases I and II are prevalent among people in a certain population. It is assumed that 10% of the population will contract disease I sometime during their lifetime, 15% will contract disease II eventually, and 3% will contract both diseases. (a) Find the probability that a randomly chosen person from this population will contract at least one disease. (b) Find the conditional probability that a randomly chosen person from this population will contract both diseases, given that he or she has contracted at least one disease.

CRA CDs, Inc., wants the mean lengths of the “cuts” on a CD to be 135 seconds (2 minutes and 15 seconds). This will allow the disk jockeys to have plenty of time for commercials within each 10-minute segment. Assume the distribution of the length of the cuts follows the normal distribution with a population standard deviation of 8 seconds. Suppose we select a sample of 16 cuts from various CDs sold by CRA CDs, Inc.

Telephone calls arrive at the help desk of a small computer software company at the rate of 15 per hour. What is the probability that the next call arrives within 3 minutes?

# Describes three situations where the actions of a medical assistant were influenced by laws and regulations related to the release of personal and medical information of a patient. # Describes the relevant components of the medical record you expect the family physician will want to see.

Get college assignment help at uniessay writers A study shows that employees that begin their work day at 9:00 a.m. vary their times of arrival uniformly from 8:40 a.m. to 9:30 a.m. The probability that a randomly chosen employee reports to work between 9:00 and 9:10 is

“These problems are about game theory “3. A Statistical Game. Player I has two coins. One is fair (probability 1/2 of heads and 1/2 of tails) and the other is biased with probability 1/3 of heads and 2/3 of tails. Player I knows which coin is fair and which is biased. He selects one of the coins and tosses it. The outcome of the toss is announced to II. Then II must guess whether I chose the fair or biased coin. If II is correct there is no payoff. If II is incorrect, she loses 1. Draw the game tree. 2. Two Guesses for the Silver Dollar. Draw the game tree for problem 1, if when I is unsuccessful in his first attempt to find the dollar, he is given a second chance to choose a room and search for it with the same probabilities of success, independent of his previous search. (Player II does not get to hide the dollar again.) 10. Find the equivalent strategic form and solve the game of (b) Exercise 2. (c) Exercise 3. 12. (Beasley (1990), Chap. 6.) Player I draws a card at random from a full deck of 52 cards. After looking at the card, he bets either 1 or 5 that the card he drew is a face card (king, queen or jack, probability 3/13). Then Player II either concedes or doubles. If she concedes, she pays I the amount bet (no matter what the card was). If she doubles, the card is shown to her, and Player I wins twice his bet if the card is a face card, and loses twice his bet otherwise. (a) Draw the game tree. (You may argue first that Player I always bets 5 with a face card and Player II always doubles if Player I bets 1.) (b) Find the equivalent normal form. (c) Solve. II”

5. In a batch of 8000 Clock radio 5% are defective. A sample of 14 clock radios is randomly selected without replacement from the 8000 and tested. The entire batch will be rejected if at least one of those tested is defective. What is the probability that the entire batch will be rejected? Assume independence.

19. 580 vehicles were selected at random in a large city. 260 of them were manufactured by Asian automobile companies. Find the 95% confidence interval for this city’s population proportion of vehicles made by Asian companies

If X is a Uniform random variable over the range [0;1], then the square of X is also a Uniform random variable over the range [0;1]

If X is Binomial(12,.5) then X can take the value 0. true or false

If X is a Standard Normal random variable then for any constant a and b, aX b is a Normal random variable. True or False

A sample of 213 newspaper tire ads from the Sunday papers showed that 98 contained a low-price guarantee (offer to beat or meet any price). Assuming this was a random sample, construct a 95% confidence interval for the proportion of all Sunday newspaper tire ads that contain a low-price guarantee.

An experiment was conducted to test the effectof data file size on the ability to access the files (as measuredby read time, in milliseconds). Three different levels of data filesize were considered:small (50,000 characters),medium (75,000characters) and large (100,000 characters). A sample of eightfiles of each size was evaluated. Small Medium Large 2.05 2.24 2.08 2.04 2.21 2.34 2.21 2.23 2.33 2.12 2.09 2.24 2.32 2.52 2.71 2.31 2.62 2.73 2.48 2.57 2.9 2.42 2.61 2.72 Only 1 Question: 1. Is there evidence of a significant difference in the variance of the access read times for the three file sizes? Test at the 95% confidence level.

suppose that the 12 random variables X1…X12 are iid and each has a uniform distribution on the interval [0,20]. for j=0,1,..19,let Ij denote the interval (j,j 1).Determine the probability that none of the 20 disjoint intervals Ij will contain more than one of the random variables X1…X12.

A survey of students on a highly popular course found that 54% buy the textbook recommended for the course, and that 55% attend every lecture. However, 21% of the students neither go to all the lectures nor buys the recommended textbook. What is the probability that a randomly chosen student who buys the textbook attends every lecture?

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November 3, 2019