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A researcher would like to evaluate the claim that large doses of vitamin C can help prevent the common cold. One group of participants is given a large dose of the vitamin (500 mg per day), and a second group is given a placebo (sugar pill). The researcher records the number of colds each individual experiences during the 3-month winter season.
Identify the dependent variable for this study.
Is the dependent variable discrete or continuous?
What scale of measurement (nominal, ordinal, interval, or ratio) is used to measure the dependent variable?
How many cars must be randomly selected and tested in order to estimate the mean braking distance of registered cars in the US to give a 99% confidence that the sample mean is within 2 ft of the population means. The population standard deviat..
First explain what the Gini coefficient is and what hypothetical Gini values of 0 and 1 mean. Sort the data by the Gini coefficient in 2000 and look at the list of countries.
Suppose we have a population of scores with a mean = 200 and a standard deviation = 10. Assume that the distribution is normal. Provide answers to the following questions:
Assuming the manufacturer's claim is true, what is the approximate probability of observing a sample mean of 52 months or less?
Items coming off a production line are categorized as good (G), slightly blemished (B), and defective (D), and the percentages are 80%, 15% and 5%, respectively.
Use the Poisson Distribution the indicated probabilities in one year, there were 116 homicide deaths in Richmond VA. For a randomly selected day
Suppose observations on 50 vehicles yielded a sample mean of 65 mph. Assume that the standard deviation of vehicle speed is known to be 6 mph. Determine the two-sided 99% confidence intervals of the mean speed.
1. an opinion poll asked british columbians are you in favour of a las-vegas-style casino in vancouver? yes or no. a
The chi-square test for independence is a nonparametric test used with two nominal variables and what are the hypotheses when conducting the chi-square test for goodness-of-fit?
A random sample of 200 workers from Factory A showed that 130 were satisfied with their job. Formulate and test the appropriate hypotheses at the 1% level of significance
In a sample of 80 mail carriers 16 had been bitten. At the 0.05 level of confidence, is there a significant difference in the proportions?
How many citizens would need to be sampled if a 99% confidence interval was desired to estimate the true proportion to within 1%?
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