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Use this poll result to give 70%, 80%, 90% and 99% confidence intervals for the proportion of all adults who feel this way. What do your results show about the effect of changing the confidence leve
Suppose that 10% of all adults jog. An opinion poll asks an SRS of 400 adults if they jog. What is the sampling distribution of the proportion p^ in the sample who jog?
You have to determine that your cutoff value at level a=0.05 is 1.645 when testing whether the mean of a population is significantly different from 1.5. If you calculate a test statistic of 1.8 what
The S&P 500 is based on the price of stocks for 500 companies. If both the DJIA and S&P 500 measure the performance of the stock market, how are they correlated?
Carry out a t-test to see if the mean healing rate is significantly lower in the experimental limbs, including all 12 newts. What are the test statistics and their P-values?
When sampling is done for the proportion of defective items in a large shipment, where the population proportion is 0.18 and the sample size is 200, what is the probability that the sample proporti
There are 360 working days per year and the lead-time is 5 days. If Mark orders 120 units each time he places an order, what would his total ordering cost be for the year?
Product B earns a profit margin of $40 a unit. Formulate the problem as a linear program and find the maximum profit margin for the objective function.
What part of data screening checks for the actual number of responses you have for each variable? Why are descriptive statistics a part of data screening?
Describe each set of data with a histogram (use the same class intervals on both histograms), the mean, and the standard deviation.
Customers at Costco spend an average of $130 per trip. Specify the appropriate null and alternative hypotheses to test whether average spending at the rival's store is more than $130.
The screening process for detecting a rare disease is not perfect. What is the probability of Type I error? What is the probability of Type II error?
A random sample of 15 customers is selected, and the results. calculate arithmetic mean, median, mode, first quartile and third quartile.
Discuss the advantages and disadvantages of each to yielding data that help you answer the question. Describe and discuss each design in 4-5 sentences.
A manufacturer produces both a deluxe and a standard model of an automatic sander designed for home use. What is the 95% confidence interval for the difference between the mean prices of the two model
Needs to select a random sample of n = 16 specimens for an experiment. With what probability will their average mass be less than the same amount m? Calculate the z-scores.
Use a t test to determine if linear correlation exists or not. Give the hypothesis, find the critical values, Give the test statistic What is your conclusion.
A sample of 20 pairs of bivariate data has a linear correlation coeffecient of r=0.65. Determine if a linear equation esists or not. Use a 1% level of significance. Find the Decision points for leve
If the gas mileages are normally distributed with a standard deviation of 0.6 miles per gallon, find the probability that the car has a gas mileage of between 28.8 and 29.2 miles per gallon.
Consider the following linear programming problem: Are any of the constraints redundant? If yes, then identify the constraint that is redundant.
Consider the following linear programming problem:Write the problem in standard form. Identify slack/surplus variables. Identify the feasible region and find the optimal solution.
Suppose no repairs are possible and the system fails when both components fail. Model the state of the system as a CTMC.
Use Solver to determine how to minimize the cost of reducing pollution by the desired amounts. Are the LP assumptions (proportionality, additivity, divisibility) reasonable in this problem?
Find the approximate probability that at least 61% of 200 randomly selected people taking the bar will pass. Round to three decimal places as needed.
Management of a soft-drink bottling company wants to develop a method for allocating delivery costs to customers. Develop a regression model to predict delivery time, based on the number of cases deli