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1. Explain why we need to draw random samples and how such samples are drawn. What are the properties of a (simple) random sample?
2. Explain the idea of a bias and its ramifications.
compute a 95 confidence interval for the population mean based on the sample 1.5 1.54 1.55 1.51 0.09 0.08 1.55 0.07
what are some examples of two measurement-level quantitative variables that are likely to be correlated because they
q1. show that for a sample of n 39 the smallest and largest z values are - 1.96 and 1.96 and the middle i.e. 20th z
Firms with a reputation for ethical behavior in strategic alliances are likely to have more opportunities to form cooperative strategies than those that have not earned this reputation
What are the assumptions of a correlated-groups t-test? What measure of effect size is used for a correlated groups t-test?
As a result of an increase in demand for a town's parking facilities, the owners of a car park are reviewing their business operations. A decision has to be made to choose one of the following options:
Find the weighted mean if each three-hour course counts for 18%, and each four-hour course counts for 23% of her final semester score.
Findout probabilities utilizing standard normal distribution. If the debt is normally distributed with a standard deviation.
a contractor purchases a bulldozer for 36500. the bulldozer requires an average expenditure of 5.25 per hour for fuel
Correlation between the two variables based on scatter plot - Show the scatter plot for the variables.
Critically discuss some examples of descriptive statistics? Why are they used in research? What is a confidence interval?
A binary communication system has transmitted signal X, a Bernoulli (p = 1/2) random variable. At the receiver, we observe Y = V X + W, where V is a "fading factor" and W is additive noise.
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