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Payne (2001) gave participants a computerized task in which they first see a face and then a picture of either a gun or a tool. The task was to press one button if it was a tool and a different one if it was a gun. Unknown to the participants while they were doing the study, the faces served as a "prime" (something that starts you thinking a particular way) and half the time were of a black person and half the time of a white person. Table 2-8 shows the means and standard deviations for reaction times (time to decide if the picture is of a gun or a tool) after either a black or white prime. (In Experiment 2, participants were told to decide as fast as possible.) (Be sure to explain some specific numbers as well as the general principle of the mean and standard deviation.)
Graphical method to solveout the linear programming problem. Describe where the following TEO constraints intersect.
A new speed limit will be initiated such that approximately 10% of vehicles will be over the speed limit. What is the new speed limit based on this criterion? In what way do you think the actual distribution of speeds differs from a normal distribu..
Computing the probability values using normal distribution - what proportion have SAT scores greater than 550?
If the rods' lengths produced by your line are normally distributed, with a mean equal to the target of 0.2 meters, and a standard deviation of 0.015m, what percentage of rods will be scrapped?
If a proposal evaluator randomly selected two proposals, what is the probability that both of them met the specified?
Calculate the standard error of estimate for the regression equation.
Determine SSE, SS (Total) and the explained sum of squared variation SSR and find the estimated y intercept slope and write the regression equation.
Calculate expected value for each decision and choose the best one. Find out how much firm would be eager to pay to a market research firm to gain better information about future market conditions.
Now compute the standard deviation for this distribution.
If random sample of thirty six customer transactions points out that sample mean withdrawal amount is $172, is there evidence to think that population mean withdrawal amount is no longer $160? Determine the mean of data above?
Compare the percentage found in b) to percentage given by Empirical Rule and Chebyshev's Rule. (Make a table 3 x 3).
Determine r.m.s. error for regression prediction of height at 18 from height at 6.
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