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According to the Chebyshev rule, at least what percentage of the observation in any data set are contained within a distance of 3 standard deviations around the mean. 1. 67% 2. 75% 3. 88.98% 4. 99.7%
Consider the following two columns that describe different types of data: A. Nominal 1. Qualitative B. Discrete 2. Quantitative C. Ordinal D. Continuous. The correctly paired groupings of the two columns is:
For such groups of 800, would it be unusual to get 687 consumers who recognize the Dull Computer Company name?
Using this test 80% of Down's syndrome cases can be identified at birth, while 5% of normals are detected as positive. a. What is the sensitivity and specificity of the test?
What is the probability that none are a commercial success?
A normal distribution has a mean of µ = 100 with σ = 20. If one score is randomly selected from this distribution, what is the probability that the score will have a value between X = 90 and X = 120?
Use Chebyshev's theorem to find what percent of the values will fall between 120 and 150 for a data set with mean of 135 and standard deviation of 7.5.
Create the 90% confidence interval for mean score of all such subjects. You may suppose scores are usually distributed.
Critical Thinking: Discuss the implications of: magnitude (from 0 to 1); sign ( + or -); and probability versus causality for the Correlation Coefficient (also known as the Pearson Product-Moment Correlation Coefficient).
Mark makes it a policy not to buy bananas unless the price is 33 cents or less per pound. What proportion of the time would he buy bananas?
At the 5% significance level, if the sample proportion is .45, and the standard error of the sample proportion is .035, the appropriate conclusion would be:
what is the post-test probability of disease being present in a patient with a positive test result for test A if a cutoff value of 4.0 mg/ml is chosen?
Given this information, what would sampling error be if sample including seven values in top row were used to calculate sample mean?
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