A clothing store asserts that 60% of its customers pay by credit. On a particular day, 35 customers purchased items at the store. a. What is the mean and standard deviation of the binomial distribution? b. What is the probability that half (18 or more) of the customers paid by credit? c. What is the […]
The marketing team at Beth’s Butter Works decided they preferred the traditional plastic tub packaging, but they wanted a more refined estimate of potential sales. They launched a third test at a regional level across 100 stores. These 100 stores had average daily sales of 140 units with a standard deviation of 50. Calculate the 99%, 95%, and 68% confidence […]
Descriptive Stats: House Prices (graded)Please consider the following questions. We will discuss them in the thread as the week goes by. Please answer the specific question(s) AFTER I’ve posted them in the Discussion area. We’ll consider these and many more this week.We’re looking at the Bryant/Smith “Practical Data Analysis, Vol II” manual’s Case Study #27. […]
67. balls–some white balls and some black balls. At each stage, a coin having probability p, 0 < p < 1, of landing heads is flipped. If heads appears, then a ball is chosen at random from the urn and is replaced by a white ball. Let Xn denote the number of white balls in […]
12)In a poll of 553 voters in a certain city, 64% said the back a bill which would limit growth and development in their city. The margin of error in the poll was reported as 4 percentage points ( with a 95% degree of confidence). Which statement (s) is (are) correctA)The reported margin of error is […]
(b) The table below shows the probability distribution of the annual sales(in Millions) of a small rm.Probability Sales0:10 800:20 900.25 1000.40 1100.05 120Calculate the Expected value, Variance, and Standard deviation of the annualsales?
A manager at a local bank analyzed the relationship between monthly salary and three independent variables: length of service (measured in months), gender (0 = female, 1 = male) and job type (0 = clerical, 1 = technical).
A sample of 16 from a population produced a mean of 86.9 and a standard deviation of 14.3. A sample of 18 from another population produced a mean of 75.4 and a standard deviation of 15.9. Assume that the two populations are normally distributed and the standard deviations of the two populations are equal. The null hypothesis […]
The manufacturer of cans of salmon that are supposed to have a net weight of 6 ounces tells you that the net weight is actually a normal random variable with a mean of 6.2 ounces and a standard deviation of 0.22 ounce. Suppose that you draw a random sample of 27 cans. Find the probability […]
Explain why your answer is correct. 4. Do problem 8.16 on page 350. 5. Do problem 8.18 on page 350. In addition to (a) and (b) in the textbook, also answer the following: (c) What is the approximate sampling distribution of X when the sample size is n = 50? (d) What is the probability […]
