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Remember that a confounding variable affects the response variable and is related to the explanatory variable. For each of the following situations, explain how the given confounding variable meets these criteria.
a. Response variable = Child's IQ at age 10; explanatory variable = whether mother smokes or not; confounding variable = mother's educational level.
b. Response variable = Number of missing or decayed teeth a child has; explanatory variable = amount of past exposure to lead; confounding variable = number of visits to a dentist the child has made in the past 3 years.
Set up the null and alternative hypotheses to see if the data show that it does indeed take seniors longer than 15 seconds to cross the street. In terms of traffic flow, what are the implications of a Type I error?
Identify three discrete variables that appear in your current or future career. How do those variables affect your workplace, your product, or your personnel? How would changes in those variables affect these things?
is the following a probability distribution? if not identify the requirement that is not satisfied.x px0 0.2291 0.1552
Estimate the IQR of the tires tread life - If the dealer is only willing to give a refund to no more 2% of the customers, for what mileage can he guarantee these tires to last?
A feed company is developing a feed supplement from two grains A and B. Each kilogram of A contains 0.3 grams of protein and 0.2 grams of carbohydrates; each kilogram of B contains 0.9 grams of protein and 0.1 grams of carbohydrates.
What are the advantages and disadvantages of each? Explain how the empirical rule help explain the ways in which the values in a set of numerical data cluster and distribute?
The question to address is: "What have you learned about statistics?" In developing your responses, consider - at a minimum - and discuss the application of each of the course elements in analyzing and making decisions about data (counts and/or meas..
Compare the mean for the heights of males and the mean of the heights of females in the following data. Compare the values and explain what can be concluded based on the numbers.
For each of the three factors (smoking, alcohol, and body mass index), rearrange the data into a 3 x 2 table; the other column is for those without gallstones.
Identify a research question from your professional life or career specialization that can be addressed by an independent samples t test.
Identify the following as either (a) observation, (b) parameter, (c) population, (d) sample, or (e) statistic: All employees at that place of employment.
a 95 confidence interval for a population mean u is given as 18.958 21.015. this confidence interval is based on a
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