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In a two-way factorial, we have defined as the grand mean of the data, + I as the mean of the responses for the th level of factor A as the mean of the responses for the th level of factor B, and as the mean of the th factor-level combination. Show that this implies our zero-sum restrictions on the estimated effects.
Suppose that we use the same idea, but instead of ordinary averages we use weighted averages with as the weight for the th factor-level combination. Derive the new zero-sum restrictions for these weighted averages.
just before a city referendum on a school budget a local newspaper polls 372 voters in an attempt to predict whether
assume that a sample is used to estimate a population proportion p. find the margin of error e that corresponds to the
Can you conclude that u1 is not equal to u2 at alpha=.05? State the hypothesis in orders of 1-2. construct a 99% confidence interval for the difference in true means. State the confidence interval in terms of 2-1.
the population in millions and the violent crime rate per 1000 were recorded for 10 metropolitan areas. the data are
Compute a two-sided 90% confidence Interval estimate for µd.
Given that we have collected pairs of observations on two variables X and Y , we would consider fitting a straight line with X as an explanatory variable if:
Let Y have a 3-parameter Weibull distribution, that is, Y has pdf and cdf in the following form with α > 0, γ > 0, θ > 0:
Suppose an airport scanning device has 98% accuracy in detecting certain kinds of metal objects (98% of people carrying these objects are correctly identified as carriers and 98% of people not carrying them are correctly identified as non-carriers..
a federal report find that a lie detector test given to truthful persons have a probability of .2 of suggesting that
Identify the primary and secondary endpoints in the main trial. Was there any surrogate endpoint used? Was there any composite endpoint (combination of outcomes) used?
What terms describe the fit of a regression equation to the data? What is the practical use of the regression equation in the real world? Explain with some examples.
the manager of the eris shoe company must decide whether or not to contract a controversial sports celebrity as its
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