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Basal metabolic rate. Careful statistical studies often include examination of potential lurking variables. This was true of the study of the effect of nonexercise activity (NEA) on fat gain (Example 4.16, page 177), our lead example in Section 4.3. Overeating may lead our bodies to spontaneously increase NEA (fidgeting and the like). Our bodies might also spontaneously increase their basal metabolic rate (BMR), which is a measure of energy use while resting. If both energy uses increase, regressing fat gain on NEA alone would be misleading. Here are data on BMR and fat gain for the same 16 subjects whose NEA we examined earlier:
The correlation between NEA and fat gain is r = -0.7786. The slope of the regression line for predicting fat gain from NEA is b1 = -0.00344 kilogram per calorie. What are the correlation and slope for BMR and fat gain? Explain why these values show that BMR has much less effect on fat gain than does NEA.
She wants to be 95% confident that her estimate is correct. If the standard deviation is $1050, how large a sample is needed to be accurate within $200?
Determine whether the following definitions are stipulative, lexical, precising, theoretical, or persuasive.- "Recession" means, for purposes of the National Bureau of Economic Research, two consecutive quarters of negative growth in real GNP or in..
What differentiates a z test statistic for a population from the z statistic for a sampling of means? Why is there a difference? Consider a normal population with ? = 43 and ? = 5.2. Calculate the z-score for an x ? of 46.5 from a sample of size 16.
A psychologist is examining the influence of an older sibling in the development of social skills. A sample of 24 three year old children is obtained.
If the gender-selection method has no effect and boys and girls are equally likely, find the mean number of boys born in groups of 152. Round to the nearest whole number.
a. Construct a 97% confidence interval for the difference between the proportions of all orders placed at the two warehouses that are mailed within 72 hours. b. Interpret the results of the confidence interval.
Suppose you toss a die 100 times in a row. What is the probability that you see 4 spots between 10 and 20 times?
To the greatest number of decimal places in the printout, what is the least-squares regression line?- What proportion of the variation in rolling resistance is explained by the regression line?
In Exercise 8.16, you examined the proportion of high school students who cheated on tests at least twice during the past year. Included in that study were the results for both 2002 and 2004.
calculate the difference between the daughters and mothers shoe sizes data given
Samples of emissions from three suppliers are classified for conformance to air quality specifications. The results from 100 samples are summarized as follows:
you toss a fair coin 400 times. us- ing the normal approximation find the approximate probability of getting1 exactly
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