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Ann's Facebook page has 198,400 Likes. A survey was posted on Ann's Facebook page about whether people who Liked the page would by an ebook authored by her. Assume that the truth is 5% would buy.
a) What is the probability that a survey of 250 respondents would indicate 5% or more would buy an ebook?
b) Is it likely that the sampling procedure created a biased sample? Discuss, including suggestions for improvement if appropriate.
a warped coin has probability of 0.5 of landing heads probability of 0.3 of landing tails and probability 0.2 of
A psychologist believed that as children get older, they engage in more "inactive activities" such as playing computer games, watching TV, and surfing online.
Find and interpret a 95% confidence interval for the true average decay rate of fine particles produced from oven cooking or toasting.- Explain what the phrase ‘‘95% confident'' implies in the interpretation of part a.
To support their proposal, they collected data and determined the following regression line for the given data, y = 0.449x - 30.27
Give two examples of situations where there are two possible outcomes, as in the coin-tossing model, but the model is not appropriate.
Assuming the supplier's claim is true, compute the mean and the standard deviation of the number of defective DVDs in the sample.
Suppose the sample mean is x¯ = 12.89 and the sample standard deviation is s = 0.96. Should the manufacturing process be stopped?
Which re-expression do you prefer? Why?- In the square root re-expression, what does the value 50 actually indicate about the company's assets?
Suppose that a multiple regression data set consists of n = 15 observations. For what values of k, the number of model predictors, would the corresponding
a randomized trial is conducted to evaluate the efficacy of a new cholesterol lowering medication. the primary
q1. a sample of 65 observations is selected from one population with a population standard deviation of 0.75. the
Assume the variable is normally distributed. If an individual is selected, find the probability that the individual's pressure will be between 120 and 121.8 mmHg.
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