The World Health Organization has reported that systolic blood pressures of Canadians are normally distributed with a meanof 121 and a standard deviationof 16.

What symmetric interval about the mean will contain approximately 95% of the systolic blood pressure readings for Canadians?

A. 105 to 137

B. 89 to 153

C. 73 to 169

D. 89 to 121

What percentage of Canadians has systolic blood pressure readings greater than 140?

A. 11.8%

B. 19.0%

C. 38.2%

D. 88.2%

What systolic blood pressure falls at the 75th percentile?

A. 91

B. 110

C. 132

D. 196

What is the probabilitythat a randomly selected Canadian has a systolic blood pressure reading between 110 and 140?

A. 0.30

B. 0.50

C. 0.64

D. 0.88

What is the mean and standard deviation for a samplingdistribution of 25 Canadians?

A. Mean = 121 Standard deviation = 16

B. Mean = 121 Standard deviation = 3.2

C. Mean = 24.2 Standard deviation = 16

D. Mean = 24.2 Standard deviation = 3.2

Correct to 4 decimal places, what is the probability that the mean systolic blood pressure of 25 randomly selected Canadians is greater than 140?

A. 0.8825

B. 0.1452

C. 0.1175

D. 0.0000

The World Health Organization has reported that systolic blood pressures of Canadians are normally distributed with a mean of 121 and a standard deviation of 16.

What symmetric interval about the mean will contain approximately 95% of the systolic blood pressure readings for Canadians?

A. 105 to 137

B. 89 to 153

C. 73 to 169

D. 89 to 121

Answer: B. 89 to 153

95% Confidence limits

Mean=μ= 121

Standard deviation =σ= 16

Confidence level= 95%

Therefore Significance level=α= 5% =100% -95%

No of tails= 2

This is 2 tailed because we are calculating the confidence interval

Z at the 0.05 level of significance 2 tailed test = 1.96

Upper confidence limit= μ+z*σ= 152.36 =121+1.96*16

Lower confidence limit= μ-z*σ= 89.640 =121-1.96*16

95% Confidence limit: (rounding off the values)

Upper limit= 153.0

Lower …

Answers to multiple choice questions on Normal Distribution, probability calculations for Normal distribution, sampling distribution