Business, 22.01.2021 23:10 davidb1113
Why did they decide to make the Connecticut Compromise to benefit all states
Answers: 3
Business, 22.06.2019 11:00
Using a cps-sample of 7,440 individuals, you estimate the following regression: = 20.91 - 2.61 x female where female is a binary variable that takes on the value of 1 for females and is 0 otherwise. the standard error on the coefficient on female is 0.25. the 95% confidence interval for the gender wage gap, or the amount that females earn less, is: a) [-3.10, -2.12] b) [18.30, 23.52] c) [-3.02, -2.20] d) [-1.96, -1.64]
Answers: 3
Business, 22.06.2019 17:10
To : of $25 up to 35 2 35 up to 45 5 45 up to 55 7 55 up to 65 20 65 up to 75 16 is$25 up to $35 ?
Answers: 1
Business, 22.06.2019 20:50
Lead time for one of your fastest-moving products is 20 days. demand during this period averages 90 units per day.a) what would be an appropriate reorder point? ) how does your answer change if demand during lead time doubles? ) how does your answer change if demand during lead time drops in half?
Answers: 1
Business, 22.06.2019 22:50
Total marketing effort is a term used to describe the critical decision factors that affect demand: price, advertising, distribution, and product quality. define the variable x to represent total marketing effort. a typical model that is used to predict demand as a function of total marketing effort is based on the power function: d = axb suppose that a is a positive number. different model forms result from varying the constant b. sketch the graphs of this model for b = 0, b = 1, 0< b< 1, b< 0, and b> 1. (we encourage you to use excel to do this.) what does each model tell you about the relationship between demand and marketing effort? what assumptions are implied? are they reasonable? how would you go about selecting the appropriate model?
Answers: 1
Why did they decide to make the Connecticut Compromise to benefit all states...
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