Stress (Example 9) According to a 2017 Gallup poll, 80 % of Americans report being afflicted by stress. Suppose a random sample of 1000 Americans is selected. a. What percentage of the sample would we expect to report being afflicted by stress? b. Verify that the conditions for the Central Limit Theorem are met. c. What is the standard error for this sample proportion? d. According to the Empirical Rule , there is a 95 % probability that the sample proportion will fall between what two values?
Stress (Example 9) According to a 2017 Gallup poll, 80 % of Americans report being afflicted by stress. Suppose a random sample of 1000 Americans is selected. a. What percentage of the sample would we expect to report being afflicted by stress? b. Verify that the conditions for the Central Limit Theorem are met. c. What is the standard error for this sample proportion? d. According to the Empirical Rule , there is a 95 % probability that the sample proportion will fall between what two values?
Solution Summary: The author explains the central limit theorem by determining the percentage of Americans being affiliated by stress.
Stress (Example 9) According to a 2017 Gallup poll,
80
%
of Americans report being afflicted by stress. Suppose a random sample of 1000 Americans is selected.
a. What percentage of the sample would we expect to report being afflicted by stress?
b. Verify that the conditions for the Central Limit Theorem are met.
c. What is the standard error for this sample proportion?
d. According to the Empirical Rule, there is a
95
%
probability that the sample proportion will fall between what two values?
Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.
6. Show that
1{AU B} = max{1{A}, I{B}} = I{A} + I{B} - I{A} I{B};
I{AB} = min{I{A}, I{B}} = I{A} I{B};
I{A A B} = I{A} + I{B}-21{A} I {B} = (I{A} - I{B})².
Theorem 3.5 Suppose that P and Q are probability measures defined on the same
probability space (2, F), and that F is generated by a л-system A. If P(A) = Q(A)
for all A = A, then P = Q, i.e., P(A) = Q(A) for all A = F.
6. Show that, for any random variable, X, and a > 0,
Lo P(x
-00
P(x < x
Precalculus: Mathematics for Calculus (Standalone Book)
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