Auto exhaust and lead exposure. Researchers interested in lead exposure due to car exhaust sampled the blood of 52 police officers subjected to constant inhalation of automobile exhaust fumes while working traffic enforcement in a primarily urban environment. The blood samples of these officers had an average lead concentration of 124.32 µg/l and a SD of 37.74 µg/l; a previous study of individuals from a nearby suburb, with no history of exposure, found an average blood level concentration of 35 µg/l. Checking conditions: independence does this situation satisfy independence? Select one: a. Yes. The textbook tells us a sample was taken, and that it was conducted by researchers. I feel confident trusting that the researchers used an independent random sample like they ought to have.#You seem like a trusting person. b. No. Not enough information is given, and I don't trust these so-called "researchers."#You seem like a cynical person. Checking conditions: normality does this situation satisfy normality? Select one: a. Yes. Although we are never shown the data, we do have more than 30 observations, so unless the data is extremely skewed, which seems unlikely, we can assume normality. b. No. They *conveniently* never showed us the data, so these so-called "researchers" might be hiding extreme skew in their data. We can't assume normality.
Auto exhaust and lead exposure. Researchers interested in lead exposure due to car exhaust sampled the blood of 52 police officers subjected to constant inhalation of automobile exhaust fumes while working traffic enforcement in a primarily urban environment. The blood samples of these officers had an average lead concentration of 124.32 µg/l and a SD of 37.74 µg/l; a previous study of individuals from a nearby suburb, with no history of exposure, found an average blood level concentration of 35 µg/l. Checking conditions: independence does this situation satisfy independence? Select one: a. Yes. The textbook tells us a sample was taken, and that it was conducted by researchers. I feel confident trusting that the researchers used an independent random sample like they ought to have.#You seem like a trusting person. b. No. Not enough information is given, and I don't trust these so-called "researchers."#You seem like a cynical person. Checking conditions: normality does this situation satisfy normality? Select one: a. Yes. Although we are never shown the data, we do have more than 30 observations, so unless the data is extremely skewed, which seems unlikely, we can assume normality. b. No. They *conveniently* never showed us the data, so these so-called "researchers" might be hiding extreme skew in their data. We can't assume normality.
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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Auto exhaust and lead exposure. Researchers interested in lead exposure due to car exhaust sampled the blood of 52 police officers subjected to constant inhalation of automobile exhaust fumes while working traffic enforcement in a primarily urban environment. The blood samples of these officers had an average lead concentration of 124.32 µg/l and a SD of 37.74 µg/l; a previous study of individuals from a nearby suburb, with no history of exposure, found an average blood level concentration of 35 µg/l.
Checking conditions: independence does this situation satisfy independence?
Select one:
a. Yes. The textbook tells us a sample was taken, and that it was conducted by researchers. I feel confident trusting that the researchers used an independent random sample like they ought to have.#You seem like a trusting person.
b. No. Not enough information is given, and I don't trust these so-called "researchers."#You seem like a cynical person.
Checking conditions: normality does this situation satisfy normality?
Select one:
a. Yes. Although we are never shown the data, we do have more than 30 observations, so unless the data is extremely skewed, which seems unlikely, we can assume normality.
b. No. They *conveniently* never showed us the data, so these so-called "researchers" might be hiding extreme skew in their data. We can't assume normality.
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