Assume a binomial probability distribution has µ=0.60 and n= 200 a. What is the mean and standard deviation? b. Is this a situation in which binomial probabilities can be approximated by the normal probability distribution? Explain c. What is the probability of 100 to 110 successes? d. What is the probability of 130 or
During the period of time that a local university takes phone-in registrations, calls come in at the rate of one every two minutes, what is the expected number of calls in one hour? What is the probability of three calls in five minutes? What is the probability of no calls in a five minute period?
1) Describe why observational studies are good for surveys and polls but not for showing causality 2) Define consistency as it related to standard deviation 3) List the 4 rules of probability- 4) Name the type of event probability can be applied to 5) List the 4 rules to gaming and explain why the house always wins
At a certain bank, the amount of time that a customer spends being served bya teller is an exponential random variable with mean 5 minutes. If there is a customer in service when you enter the bank, what is the probability that he or she will still be with the teller after an additional 4 minutes?
Each time that Ed charges his credit card, he omits the cents and records only the dollar value. If this month he has charged his credit card 20 times what can be said about the probability that the record shows at least $15 less than the actual amount?
Suppose that the demand for a company's product in weeks 1, 2, and 3 are each normally distributed and the mean demand during each of these three weeks is 50, 45, and 65, respectively. Suppose the standard deviation of the demand during each of these three weeks is known to be 10, 5, and 15, respectively. It turns out that if we
Colleges typically use grade point average cutoffs to decide who graduates with honors and who is accepted into certain programs (such as teacher education, for example). Suppose at a particular college, a GPA of 3.0 is the cutoff for such a decision. The students in department A have a grade point average of 3.77 with a standar
In a standard test for reaction time, female candidates for flight school are found to have times that are normally distributed with a mean of 0.65 seconds and a standard deviation of 0.15 seconds. If one candidate is randomly selected, find the probability that her reaction time is below the maximum allowable time of 1.00se
Of the students who have registered for a statistics class, 20% are business majors, 30% are finance majors, and the remainder are economics majors. 60% of the business majors are graduate students, 40% of finance majors are graduate students, and 30% of the economics majors are graduate students. (a) (4 points)What percentag
1. Pizza House offers 4 different salads, 5 different kinds of pizza, and 4 different desserts. How many different three course meals can be ordered? 2. Assume the probability is ½ that a child born is a girl. If a family has three children, what is the probability that they have: a. Exactly one girl b. At most tw
Give an example from everyday life where you could use the Normal distribution to determine the probability of something. What is a z score and how could calculating a z help you in a business situation? How does a box plot relate to the normal distribution? In what ways are they similar? In what ways are they differen
The amount of a brand of soda in 12-ounces can is approx. normal with a mean of 12.1 ounces and a standard deviation of 0.15 ounces. (A) What is the probability that a randomly chosen can contains more than 12.3 ounces? Less than 11.9 ounces? (B) What percentage of the soda can contains less than the advertised 12 ounces?
The one-mile running time for CMS male athletes is approx. distributed normally with a mean of 7.5 minutes and a standard deviation of 0.6 mins. (A) What percentage of athletes run a mile in less than 7 minutes? In less than 8 mins? In more than 6.5? Between 7 and 8 mins? (B) If a male athlete is randomly chosen, what is the
A surgical technique is performed on eight patients. You are told there is an 80% chance of success. a. Graph the binomial distribution using a relative frequency histogram b. Find the mean and standard deviation of the distribution c. What is the probability that the procedure is successful for exactly (2n)/2 patients if the
SAT Verbal Scores are normally distributed with a mean of 430 and standard deviation of 120, fined the following: a. If one of the students is randomly selected, find the probability that student's Score is more than (440 + n) b. If 100 students are randomly selected, find the probability that their mean score is more than (44
The Binary Computer Company manufactures computer chips used in DVD players. Those chips are made with a (27 + n)% yield meaning that (27 + n)% of them are good and others are defective. a. If one chip is randomly selected, find the probability that it is not good. b. If two chips are randomly selected, find the probability th
In the example: P(x; μ) = (e-μ) (μx) / x! P(3; 2) = (2.71828-2) (23) / 3! P(3; 2) = (0.13534) (8) / 6 P(3; 2) = 0.180 Where 3! = 6, how was that number calculated? In the example: P(x < 3, 5) = P(0; 5) + P(1; 5) + P(2; 5) + P(3; 5) P(x < 3, 5) = [ (e-5)(50) / 0! ] + [ (e-5)(51) / 1! ] + [ (e-5)(52) /
Question: Of 1338 people who came into a blood bank to give blood, 253 people had high blood pressure. Estimate the probability that the next person who comes in to give blood will have high blood pressure.
11) Suppose an unfair coin comes up tails 42% of the time if it is flipped. If the coin is flipped 13 times, what is the probability that? a) it comes up tails exactly 5 times. b) it comes up tails less than 4 times.
1) In a survey, 55% of the voters support a particular referendum. If 40 voters are chosen at random, and X is the number of voters that support this referendum, find the mean and variance of X. Place the mean in the first blank_______________ and place the variance in the second blank____________________________ 2) A die is
See the data file attached. John's Colorado farm grows some of the finest pumpkins around. Assume weights of pumpkins follow the normal probability distribution with a population weight of 16.0 lbs with a standard deviation of 3.65 lbs. Use Appendix D (posted with statistical tables in the course materials forum) or standard
I managed to do all my other questions but I cannot figure these specific problems out. They are not fully explained in the book and I cannot figure it out by searching for help online. I have worked all day yesterday and most of today on this and just cannot get these specific problems! If you could explain how to do them with
See attached file. 1. Find the following probabilities: (A) Events A and B are mutually exclusive events defined on a common sample space. If P (A) = 0.3 and P(A or B) = 0.40, find P(B). (B) Events A and B are defined on a common sample space. If P(A) = 0.50, P(B) = 0.50, and P(A or B) = 0.60, find P(A and B) 2. A ba
Case Study of ZYX Incorporated Case Study of ZYX Incorporated Executive Summary The below details is a summary of the research and findings that was completed by Team B Enterprises. This study was conducted with the employees to determine the job satisfaction and stress level of the recently announced move to a new locat
I NEED THEM BACK WITHIN 1 HR FROM NOW.SEE DATAS CAREFULLY. 1.According to Investment Digest ("Diversification and the Risk/Reward Relationship", Winter 1994, 1-3), the mean of the annual return for common stocks from 1926 to 1992 was 15.4%, and the standard deviation of the annual return was 24.5%; During the same
From historical data, Harry's Car Wash estimates that dirty cars arrive at the rate of 10 per hour all day Saturday. With a crew working the wash line, Harry figures that cars can be cleaned at the rate of one every 5 minutes. One car at a time is cleaned in this example of a single-channel waiting line. Assuming Poisson arriva
Determine whether each of the distributions given below represents a probability distribution. Justify your answer. (A) x 1 2 3 4 ______________________________ P(x) 1/12 5/12 1/3 1/12 (B) x 3 6 8 __________________________ P(x) 2/10 0.5 1/5
1. (TCO 4) What is the probability that the student is a sophomore given he doesn't carry a credit card? Credit Card Carrier Not a Credit Card Carrier Total Freshman: 33 27 60 Sophomore: 6
Random variables x and y have the joint density function fxy(x,y)={ (a(2x+y)^2)/20 -1 < x < 1 -3 < y < 3} { 0 elsewhere } a)find the value of the constant a b)find all the second order moments of X and Y c)what are variances of X and Y d)what is the correlation coefficient
1). In an examination the mean score was 80, the standard deviation was 10, and the grades followed a normal distribution. The instructor wants to assign A's to the top 12%. Where should the cutoff point for A's be? (2). A company manufactures electric light bulbs that have an average life of 1000 hours and a standard deviati