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In the United States the average weight of an adult male is 172 pounds with a standard deviation of 29 pounds. Assuming that the population follows a normal distribution, use the empirical rule to determine the following:
A. The middle 68% of the data falls between what two values?
B. What is the size of the range of values for the middle 99.7% of the data?
C. What percent of the data falls above the mean plus two standard deviations?
How many participants need to be enrolled in each group to have a 90% chance of detecting a significant difference using a two sided test with α =0.05 if compliance is perfect?
a competency test has scores with a mean of 69 and a standard deviation of 4. a histogram of the data shows that the
suppose you have variables x and y and you attempted to regress y on x i.e. predict y from x. if you add 10 to the
Sales figures and profits for the stores are given in the following table. Obtain a regression line for the data and predict profit for a store assuming sales of $10 million.
The student body of a large university comprises 60% female students. Elucidate what is the probability that the students in the sample exactly two are female?
A study was conducted to estimate the mean amount spent on birthday gifts for a typical family having two children. A sample of 150 was taken, and the mean amount spent was $225.
a certain segment of the sky contains z stars. each star is either a red giant with probability 13 or a white dwarf
Identify a key variable that you want to predict, and specify at least two variables that you think would be key in making that prediction.
Servings of water is approximately normally distributed with a standard deviation of 1.4 serving, what proportion of americans drink a. more than the recommended 8 servings.
We have a box of 12 light bulbs. The probability that a particular light bulbs lights on opening is 0.95. This meets the binomial assumptions. Find the probability that 9 light bulbs light up.
Obtain the estimated regression function. Plot the estimated regression function and the data. Does a linear regression function appear to give a good fit here?
A random sample of 36 cars showed a mean repair cost of $330, with a standard deviation of $120. What can you tell the city fathers?
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