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In a Singapore Edition of Business Times, diamond pricing we explored. The price of a diamond is based on the diamond's weight, color, and clarity. A Simple random sample of 18 one-half-carat diamonds had the following prices, in dollar's: 1676 1442 1995 1718 1826 2071 1947 1983 2146 1995 1876 2032 1988 2071 2234 2108 1941 2316 Based on the above information, solve the following problems: a. Apply the t-interval procedure to these data to find a 90% confidence interval for the mean price of all one-half-carat diamonds. Interpret your result. (Note: X-bar = $1964.7 and s = $206.5.) b. Based on your graphs from part (b), is it reasonable to apply the t-interval procedure as you did in part a? Explain your answer.
It is suspected that the mean turnover has changed and is not 6.0. Use the .05 significance level. State the null hypothesis and the alternate hypothesis.
Joe Mauer of the Minnesota Twins had the highest batting average in the 2009 Major League Baseball season. His average was .461. So assume the probability of getting a hit is .461 for each time he batted. In a particular game, assume he batted fou..
1. you work at a bank and are asked to recommend the amount of cash to put in an atm each day. you dont want to put in
Diastolic blood pressure are assumed to follow a normal distribution with a mean of 85 and a standard deviation of 12.
Use the given date to find the minimum sample size required to estimate a population proportion and populat mean. Margin of error: 0.004, confidence level, 90%, sample proportion (p) : = 0.45
Is there evidence of difference in median performance between two methods? (Use α = 0.05.)
If the population standard deviation is s = 10, is the sample sufficient to demonstrate a significant effect? Again, assume a two-tailed test with a = 0.05.
Use the interaction plot to argue that the new design is less sensitive to changes in environmental conditions (temperature and humidity). What limitations apply to this argument?
With each hypothesis, indicate whether the appropriate analysis would be a one-tailed test or a two-tailed test and indicate a type I and type II error, given the context of the hypothesis.
Standard deviation of Rs. 1000. assuming the starting salaries follow a normal distribution: What is the probability that the starting salary will be more than Rs. 12000.
Construct a stem-and leaf display for the data set? Construct a box plot for the data set? Draw conclusions about the data (e.g. are there any outliers, etc, etc.).
Set up a model to test whether there are differences in mean ... DATA SET E Ages and Weights of 31 Randomly Chosen U.S. Nickels (n = 31 nickels) Nickels
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