Concept explainers
z Scores: Red Blood Cell Count Let x = red blood cell (RBC) count in millions per cubic millimeter of whole blood. For healthy females, x has an approximately
Convert each of the following z. intervals to x intervals.
(g) Interpretation If a female had an RBC count of 5.9 or higher, would that be considered unusually high? Explain using z values and Figure 7-12.
(a)
The z intervals from x interval
Answer to Problem 11P
Solution: The z intervals from x interval is
Explanation of Solution
We use the formula for normal distribution:
(b)
The z intervals from x interval
Answer to Problem 11P
Solution: The z intervals from x interval is
Explanation of Solution
We use the formula for normal distribution:
(c)
The z intervals from x interval
Answer to Problem 11P
Solution: The z intervals from x interval is
Explanation of Solution
We use the formula for normal distribution:
(d)
The x intervals from z interval
Answer to Problem 11P
Solution: The x intervals from z interval is
Explanation of Solution
We use the formula for normal distribution:
(e)
The x intervals from z interval
Answer to Problem 11P
Solution: The x intervals from z interval is
Explanation of Solution
We use the formula for normal distribution:
(f)
The x intervals from z interval
Answer to Problem 11P
Solution: The x intervals from z interval is
Explanation of Solution
We use the formula for normal distribution:
(g)
Whether a female having a RBC count of 5.9 or higher would be considered unusually high.
Answer to Problem 11P
Solution: Yes, female having a RBC count of 5.9 or higher would be considered unusually high.
Explanation of Solution
We use the formula for normal distribution:
According to Figure 7-12, 99.7% of the data values lie within 3 standard deviation of the means. Since the obtained z-value is 3.67 is above three standard deviation of means, hence we can say that female having a RBC count of 5.9 or higher would be considered unusually high.
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Chapter 7 Solutions
Understanding Basic Statistics
- Respiratory Rate Researchers have found that the 95 th percentile the value at which 95% of the data are at or below for respiratory rates in breath per minute during the first 3 years of infancy are given by y=101.82411-0.0125995x+0.00013401x2 for awake infants and y=101.72858-0.0139928x+0.00017646x2 for sleeping infants, where x is the age in months. Source: Pediatrics. a. What is the domain for each function? b. For each respiratory rate, is the rate decreasing or increasing over the first 3 years of life? Hint: Is the graph of the quadratic in the exponent opening upward or downward? Where is the vertex? c. Verify your answer to part b using a graphing calculator. d. For a 1- year-old infant in the 95 th percentile, how much higher is the walking respiratory rate then the sleeping respiratory rate? e. f.arrow_forwardPlanetary Velocity The following table gives the mean velocity of planets in their orbits versus their mean distance from the sun. Note that 1AU astronomical unit is the mean distance from Earth to the sun, abut 93 million miles. Planet d=distance AU v=velocity km/sec Mercury 0.39 47.4 Venus 0.72 35.0 Earth 1.00 29.8 Mars 1.52 24.1 Jupiter 5.20 13.1 Saturn 9.58 9.7 Uranus 19.20 6.8 Neptune 30.05 5.4 Astronomers tell us that it is reasonable to model these data with a power function. a Use power regression to express velocity as a power function of distance from the sun. b Plot the data along with the regression equation. c An asteroid orbits at a mean distance of 3AU from the sun. According to the power model you found in part a, what is the mean orbital velocity of the asteroid?arrow_forward
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