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Use differential to approximate square root of 16.3
is this true or false
integral x/x^2+1 dx= arctan(x)+C
integral 1/x^2-1 dx= ln square 1+x/1-x+C
First, describe in your own words (no direct quotes, please) what a dummy variable is and its purpose in regression analysis. Secondly, provide an example of where you might use a dummy variable from your own professional experience.
From time to time, one branch office of a company must make shipments to a certain branch office in another state. There are three package delivery services between the two cities where the branch offices are located.
This linear regression model was fitted to a sample of size 50 to produce the following regression equation: yhat = 145 + 1.2x1 + 300x2.
Recognize and describe potential threats (up to 3) to internal validity.
MATH1550H: Assignment: Question: what is the least number of applicants that should be interviewed so as to have at least 50% chance of finding one such secretary?
Compute the sample variance and the sample standard deviation for these data (to 2 decimals).
Roll a die and record the count of spots on the up face: P(1) = 0, P(2) = 1/6, P(3) = 1/3, P(4) = 1/3, P(5) = 1/6, P(6) = 0.
Suppose 72% of the drivers regularly use seat belts. You take a random sample of 10 of these drivers. What is the probability that the number regularly using seat belts is at least 7?
If the variability of the filling machine is reduced to 0.025 ounce, verify that this will lower the required average amount of coffee to 4.050 ounces and yet keep 98 percent of the jars above 4 ounces.
Four brands of lightbulbs are being considered for use in the final assembly area of the Saturn plant in Spring Hill, Tennessee. The director of purchasing asked for samples of 100 from each manufacturer.
Automobile manufacturers are interested in the difference in reaction times for drivers reacting to traditional incadescent lights and to LED lights.
Suppose that a researcher does a study to see how level of anxiety (A 1 = low, A 2 = medium, A 3 = high) is used to predict exam performance (Y).
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