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1. The independent variable was whether the applicant appeared to have a disability.
2. The dependent variables were participants' ratings of the applicant (such as ratings of how qualified the applicant was, how much the participant liked the applicant, and whether the participant would hire the applicant).
A new employee is supposed to be sorting coated lenses into one of three bins: ship, rework, or scrap. However, this employee was not well trained and sorts 50 lenses by randomly putting each lens in one of the three bins. Let Y be the number of..
1.nonparametric tests are used whena.the data are normal.b.the data are skewed.c.the data are counts.2.the
If sales is the variable you are trying to explain and you have 2 independent variables of color and price. The color coefficient is 100, and the price coefficient is -200. You have an intercept coefficient of 999 and an r-squared value of .2706. ..
Suppose that the parts supplier's hypothesis test is based on a sample of n = 100 diameters and that σ equals .023. If the parts supplier sets α = .05, calculate the probability of a Type II error for each of the following alternative values of µ:..
find the probability of correctly answering the first 2 questions on a multiple choice test if random guesses are made
Assume the distribution of amounts purchased follows the normal distribution. For a sample of 50 customers, answer the following questions. What is the likelihood the sample mean is at least $25.00?
The mean SAT verbal score is 412, with a standard deviation of 90. Use the Empirical Rule to determine what percent of the scores lie between 412 and 592. (Assume the data set has a bell-shaped distribution.)
A new process is proposed for the manufacture of steel shafts, Data are 6.38, 6.40, 6.41, 6.38, 6.39, 6.36 and 6.37. Target is 6.40. a. What is the expected loss? b. What is the standard deviation?
Calculate the number of drivers required if the company offers. Day of delivery or an 8-hour time window,
This weekend the team has two games against teams they are not very familiar with. Assuming that the ?rst team they play is a class 1 team with probability 0.6 and the second is, independently of the class of the ?rst team, a class 1 team with ..
Using α = 0.05, does this sample provide enough evidence to conclude that the average utility bill in Delaware was lower in the winter of 2011-2012 than it was in the winter of 2010-2011?
why is a z-score range -3 to 3? if a normal distribution is not assumed can a z-score still be used? why or why
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