A doctor collects data on all the men in his practice. Their daily potassium intake is 4500 mg/day, with a standard deviation of 1000 mg/day. They have an average systolic blood pressure of 150 mmHg, with a standard deviation of 10 mmHg. The two variables have correlation r = -0.4. (a) One of the men is at the 25 percentile of potassium intake and 75 percentile of blood pressure. Relative to all other men at the 25th percentile potassium intake, this man’s blood pressure is (circle one) smaller than average about average larger than average

A doctor collects data on all the men in his practice. Their daily potassium intake is 4500 mg/day, with a standard deviation of 1000 mg/day. They have an average systolic blood pressure of 150 mmHg, with a standard deviation of 10 mmHg. The two variables have correlation r = -0.4. (a) One of the men is at the 25 percentile of potassium intake and 75 percentile of blood pressure. Relative to all other men at the 25th percentile potassium intake, this man’s blood pressure is (circle one) smaller than average about average larger than average

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.6: Summarizing Categorical Data

Problem 23PPS

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Question

A doctor collects data on all the men in his practice. Their daily potassium intake
is 4500 mg/day, with a standard deviation of 1000 mg/day. They have an average
systolic blood pressure of 150 mmHg, with a standard deviation of 10 mmHg. The
two variables have correlation r = -0.4.
(a) One of the men is at the 25 percentile of potassium intake and 75 percentile of
blood pressure. Relative to all other men at the 25th percentile potassium intake,
this man’s blood pressure is (circle one)
smaller than average
about average
larger than average

Definition Definition Relationship between two independent variables. A correlation tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

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