Example on sampling variability

Reference no: EM137689

1. A statistics instructor wants to know which route will get her to school the fastest. Each day from October 2 to November 15, when she gets to the turn point she checks the odometer on her car. If it shows an even number she takes the freeway; if it shows an odd number, she takes the in-town route. She records the total time each day. At the end of the study, if she detects a significant difference in time, can she conclude it is due to the route?
A. Definitely not. There are lurking variables such as traffic, road construction, etc.
B. Maybe. There are lurking variables.
C. Yes

2. A drug manufacturer is studying how a new drug behaves in patients. Investigators compare 2 doses, 5 milligrams (mg) and 10 mg. The drug can be administered by injection, skin patch, or intravenous drip. Concentration in the blood after 30 minutes is then measured. The factor(s) in this study are
A. Drug dose.
B. Drug dose and how it's administered.
C. 5 mg by injection, patch or drip and 10 mg by injection, patch, or drip.

3. Sampling variability refers to
A. the idea that different samples will include different individuals.
B. the idea that different samples will give different statistics.
C. the idea that every sample shows variability.

Reference no: EM137689

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