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The following is a random sample taken from the data that represents the time intervals in days between earthquakes that either registered magnitudes greater than 7.5 on the Richter scale or produced more than 1000 fatalities during the time period December 1902 to March 1977.
263 1901 121 832 150 99
(a) Construct a 95% jackknife con?dence interval for the average number of days between earthquakes of this type.
(b) Give an approximate 95% jackknife con?dence interval for the population variance of number of days between earthquakes of this type.
the totals of individual weights of garbage discard by 62 households in one week have a sample mean of 24.443 lb.
please give one example to explain the difference between an outlier and a data point with high leverage value. you can
consider the following simple model for daily changes in the price of a stock. suppose that on each day the price
What is the probability that in a sample of 10 pieces: 5 or more will be defective?
The number of widgets produced by 9 employees in an eight hour shift is recorded as: 135, 120, 116, 119, 121, 125, 135, 131, 123. What is the median of the number of widgets produced presented above?
Problem 1: A supplier shipped a lot of six parts to a company. The lot contained three defectiveparts. Suppose the customer decided to randomly select two parts and test them fordefects. How large a sample space is the customer potentially working..
q1. explain the difference between multiple independent variables and multiple levels of independent variables. which
scatter plot correlation coefficient and regression equation.do a complete regression analysis by performing the steps
A real estate agent wants to compare the variation in the selling price of homes on the oceanfront with those 3 blocks away A sample of 21 oceanfront homes sold within the last year revealed the standard deviation of the selling prices was 45,600.
You will want to use software to find the regression equation, either a TI calculator or Statdisk or other software you have found useful. The sales of a company (in million dollars) for each year are shown in the table below.
Of the 900 employees, 590 had college degrees, 120 were single, and 80 were single college graduates. Find the probability that an employee of the company is married and has a college degree.
Should the company adopt the new tread pattern? What is the correct alternative hypotheses to test whether this is strong evidence that they have failed to attain their goal.
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