Find the expected value and variance
Discuss the below:
Q: Let X be a random variable having expected value (mu) and variance (sigma)^2. Find the expected value and variance of:
Y = (X -μ)/σ
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What types of rewards may be used by a sales manager? Is compensation motivational?
Others say it is rarely possible to make this connection. Why it is so difficult to establish a relationship between advertising and sales?
Next, apply normalization to reduce this table to third normal form. Prepare a Word document showing the original and final tables.
Apply his arguments to the case study "Advice for Sale: How Companies Pay TV Experts for On-Air Product Mentions"
Let X be a random variable having expected value (mu) and variance (sigma)^2. Find the expected value and variance of:
Q1. Evaluate promotional tools used by retailers to generate sales. Q2. Compare the types of promotional tools used by retailers.
Is there a line between research and sales? At what point is a researcher bound to the ethical position of respondent confidentiality and anonymity?
Using the linear regression equation, develop a forecast of retail sales for advertising dollars of $40,946.
X has the U(-?/2, ?/2) distribution, and Y = tan(X). Show that V has density l/(?(1 + y2)) for ?oo
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