Basic Statistics

(Barry) #1

92 ESTIMATION OF POPULATION MEANS: CONFIDENCE INTERVALS


Give a 95% confidence interval for the difference between the mean weight of
male mice and female mice using a statistical program.
To study whether or not pressure exerted on the upper arm increases bleeding
time, 39 persons had their upper arm subjected to a pressure of 40 mmHg of
mercury and their fingers pricked. Their mean bleeding time was 2.192 min,
and the standard deviation of their bleeding times was .765 min. Forty-three
other persons acted as controls. No pressure was used for the controls, and
their bleeding time was found to have a mean of 1.524 minutes and a standard
deviation of .614min. Give a 95% confidence interval for the difference in
bleeding times. Do you think pressure increases mean bleeding time? Why?

7.5


7.6 (a) A special diet was given to^16 children and their gain in weight was recorded
over a 3-month period. Their mean gain in weight was found to be 2.49 kg. A
control group consisting of 16 children of similar background and physique
had normal meals during the same period and gained 2.05 kg on average.
Assume that the standard deviation for weight gains is .8 kg. Is the evidence
strong enough for us to assert that the special diet really promotes weight
gain?

(b) Answer the question in (a) if each of the two groups consisted of 50 children.

7.7 A general physician recorded the oral and rectal temperatures of nine consecu-
tive patients who made first visits to his office. The temperatures are given in
degrees Celsius ("C). The following measurements were recorded:
Patient Number Oral Temperature (deg"C) Rectal Temperature (deg"C)
37.0
37.4
38.0
37.3
38.1
37.1
37.6
37.9
38.0

37.3
37.8
39.3
38.2
38.4
37.3
37.8
37.9
38.3
(a) From this data, what is your best point estimate of mean difference between
oral and rectal temperatures?

(b) Give a 95% confidence interval for this difference, and state what the interval
means.

(c) Give a 95% confidence interval for mean oral temperature.

(d) Give a 95% confidence interval for mean rectal temperature.
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