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An experiment was conducted to compare the filling capability of packaging equipment at two different wineries. Ten bottles of pinot noir from Ridgecrest Vineyards were randomly selected and measured, along with 10 bottles of pinot noir from Valley View Vineyards. The data are as follows (fill volume is in milliliters): Suppose that the true difference in mean fill volume is as much as 2 fluid ounces; did the sample sizes of 10 from each vineyard provide good detection capability when a = 0.05? Explain your answer.
Ridgecrest
Valley View
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Suppose that, for our sample, the mean weight is 11 pounds. How con?dent can we be that the population mean is between 10 and 12 pounds?
an american roulette wheel has 38 slots 18 are red 18 are black and 2 are green. let r be the number of spins until you
Let X1,..., Xn be a random sample from a uniform distribution on [θ, θ + 1]. Find a 99% con?dence interval for θ, using an appropriate pivot.
Refer to the financial risk analysis example presented at the end of Sec. 22.6, including its results shown in Fig. 22.14. Think-Big management is quite concerned about the risk profile for the proposal.
We are interested in comparing the avg. supermarket prices of two leading colas in the Tampa area. Our sample was taken by randomly going to each of eight supermarkets and recording the price of s-pack of cola of each brand.
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A company counted the number of their employees in each of the following age classes. According to this distribution, what is the average age of the employees in the company?
do you drink the recommended amount of water each day? most americans dont on average americans drink 4.4 eight-oz
What is your conclusion regarding null hypothesis?
Show that for any integer n>1, Xn(x) = e^-x sinnx is an eigenfunction of the Sturm-Liouville problem for X and determine the corresponding eigenvalue.
Compute the difference in traffic counts on the 6th and the 13th. Can you conclude that people tend to stay home more on Friday the 13th?
Refer to the previous two exercises. PROC GENMOD in SAS reports the maximized log likelihood as 3475.19 for the model of mutual independence (df = 11), 3538.05 for the model of homogeneous association (df = 5), and 3539.58 for the model containing..
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