Obesity In a 2013 Pew Poll, 36% of Republicans and 28% of Democrats agreed with the statement "Obesity impacts individuals, but doesn't have a major impact on society." A 95 % confidence interval for the difference in these proportions is − 0.13 to − 0.02 , or, in terms of percentage points, − 13 % to − 2 % . (Use the Democrats as population I.) Interpret this confidence interval. If the interval contains 0, indicate what this means. Explain the meaning of positive and/or negative values.
Obesity In a 2013 Pew Poll, 36% of Republicans and 28% of Democrats agreed with the statement "Obesity impacts individuals, but doesn't have a major impact on society." A 95 % confidence interval for the difference in these proportions is − 0.13 to − 0.02 , or, in terms of percentage points, − 13 % to − 2 % . (Use the Democrats as population I.) Interpret this confidence interval. If the interval contains 0, indicate what this means. Explain the meaning of positive and/or negative values.
Solution Summary: The author analyzes the 95% confidence interval for the difference in proportions of Republicans and Democrats.
Obesity In a 2013 Pew Poll, 36% of Republicans and 28% of Democrats agreed with the statement "Obesity impacts individuals, but doesn't have a major impact on society." A
95
%
confidence interval for the difference in these proportions is
−
0.13
to
−
0.02
,
or, in terms of percentage points,
−
13
%
to
−
2
%
.
(Use the Democrats as population I.) Interpret this confidence interval. If the interval contains 0, indicate what this means. Explain the meaning of positive and/or negative values.
Question 3
The following stem-and-leaf displays the weekly salary of employees at this firm.
Stem-and-Leaf Display
Leaf Unit = 10.0
N=x
5
3 00123
12 4 0125888
(y)
5 11234456777
z
6 13568
5
7 154
2
8 46
i.
Determine the value of x, y and z.
[3]
ii. What is the value of the median?
[2]
iii.
Find the mode of this data set.
iv.
Calculate the range
[1]
[2]
Let Y be a continuous RV with PDF
otherwise
Find the CDF, Fry), of Y .
Find an expression for pth, p € (0, 1), quantile of the distribution.
Find E(Y) and V(Y).
Find E(-2Y + 1) and V(-3Y - 2).
Find E(Y3).
Let X be a continuous RV with CDF
Find P(X < 0), P(-1 < X < 1) and P(0.5 < X).
Based on your answers to the above questions, what is the median of the distribu-tion? Why
Find the PDF, fx (x), of X.
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