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Material Type: Exam; Professor: Aronne; Class: ELEMENTS OF STATISTICS; Subject: Mathematics; University: Montgomery College; Term: Unknown 1989;
Typology: Exams
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Math 116 – Reviewing for the Final Exam This is all about Means Chapter 6 – Normal Distributions
Any systolic blood pressure reading which is outside of the above interval is considered to be unusual c) If one woman from this age group is randomly selected, what is the probability that her systolic blood pressure is (i) Between 94 and 142 mm Hg?
With calculator: normalcdf(94, 142, 114.8, 13.1) =. (ii) At most 82 mm Hg?
With calculator: normalcdf(-10^9, 82, 114.8, 13.1) = 0. (iii) At least 143 mm Hg?
With calculator: normalcdf(143, 10^9, 114.8, 13.1) = 0. d) Find the two blood pressures having these properties: the mean is midway between them and 90% of all blood pressures are between them. There are two scores, one separating the top 5% (with an area of .95 to its left), and another separating the bottom 5% (with an area of 0.05 to its left). Use the table, from inside out to find the z scores. The z-scores are – 1.645, and 1.645. Then, use the formula:
With calculator: invNorm(0.05, 114.8, 13.1) = 93. With calculator: invNorm(0.95, 114.8, 13.1) = 136.
Chapter 7 – Section 7.2 – Distribution of Sample Means
According to the Central Limit Theorem, the distribution of sample means, for samples of size 36, is also normally distributed with
x x
b) What is the probability that a sample of 36 women of this age group has a mean systolic blood pressure of at least 121 mm Hg?
c) If the population mean is 114.8, the probability of obtaining a sample of size 36 with a mean of 121 or more is __ 0.002 _____. So, for samples of size 36, about __ 2 __ samples in 1000 will have a sample mean of 121 or more when the population mean is 114.8. Because this event only happens _ 2 __ out of __ 1000 ____ times, we consider it to be usual/ unusual. d) What may this result suggest? If the population mean is 114.8, it’s very unusual to observe a sample of size 36 with a mean of 121 or more. This unusually high result may suggest that “probably” the sample was selected from a population with mean higher than 114.8.
Chapter 9 – Testing a Mean μ
Chapters 8 and 9 – Hypothesis Testing and Confidence Intervals for^ 1 2 (Independent Samples)