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Suppose five 6 oz tubes of toothpaste are randomly selected and squeezed until no more toothpaste will come out. Then each tube is cut open and the amount remaining is weighed, resulting in the following data. 0.53, 0.65, 0.46, 0.5, 0.37. Does it appear that the true average amount left is less than 10% of the advertised contents?
A. Check the validity of any assumptions necessary for testing the appropriate hypotheses.
B. Carry out a test of the appropriate hypotheses using a significance level of 0.05. Would your conclusion change if a significance level of 0.01 had been used?
C. Describe in context type I and type II errors, and say which error might have been made in reaching a conclusion?
Carry out a hypothesis test to see if our belief can be supported. State the null hypothesis and the alternative hypothesis that we would use for this test.
Distinguish between a minimization and maximization LP model. Other than minimizing costs and maximizing profits, give a real-world example of where you would want to minimize something or maximize something.
question assume that the mean systolic blood pressure of normal adults is 122 milliliters of mercury with a standard
suppose that the weights of airline passenger bags are normally distributed with a mean of 47.56 pounds and a standard
suppose that on average a baseball player gets a hit once every three times she bats. what is the probability that she
the first figure takes 5 matchstick squares to build the second takes 13 to build and the third takes 21 to builda how
Given below are heart volume measurements taken on male athletes. Do heart volumes differ for male athletes who participate in different sports?
the mean amount spent by a family of four on food per month is 700 with a standard deviation of 85. assuming that the
Sketch the distributions involved, and (c) explain your answer to someone who is familiar with the t test for a single sample but not with the t test for independent means.
How many data points can she use in a regression analysis using the data provided.
The company recorded the type of the most recent visit to a doctor by each employee.State the decision rule. Use 0.01 significance level. Comute the value of teh Chi-Square.
How would you approach identifying the two correct time series in #1 to the proceed to merge them into one and make a weekly estimate of attendance?
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