Questions 13-16 are related to the following To build a 95% interval estimate for the proportion of Indiana adult population who are obese, a random sample of Hoosier adults is selected. The sample is shown in worksheet DATA13. 13 The point estimate of the population proportion is, 0.461 0.452 0.443 0.434 a b d 14 a b с d 15 a b d 16 b d The standard error of the sample proportion is, 0.0219 0.0207 0.0195 0.0184 The interval estimate with a 95% confidence level is, 0.436 0.430 0.423 0.413 0.468 0.473 0.480 0.490 Suppose you want to build an interval estimate for the proportion of Indiana adults who are obese with a 95% confidence level and a margin of error of ±0.03 (3 percentage points). What is the minimum sample size to achieve this margin of error? Use the point estimate from question 13 for planning value. 1058 1017 978 940
Questions 13-16 are related to the following To build a 95% interval estimate for the proportion of Indiana adult population who are obese, a random sample of Hoosier adults is selected. The sample is shown in worksheet DATA13. 13 The point estimate of the population proportion is, 0.461 0.452 0.443 0.434 a b d 14 a b с d 15 a b d 16 b d The standard error of the sample proportion is, 0.0219 0.0207 0.0195 0.0184 The interval estimate with a 95% confidence level is, 0.436 0.430 0.423 0.413 0.468 0.473 0.480 0.490 Suppose you want to build an interval estimate for the proportion of Indiana adults who are obese with a 95% confidence level and a margin of error of ±0.03 (3 percentage points). What is the minimum sample size to achieve this margin of error? Use the point estimate from question 13 for planning value. 1058 1017 978 940
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Transcribed Image Text:Final Exam
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Transcribed Image Text:Questions 13-16 are related to the following
To build a 95% interval estimate for the proportion of Indiana adult population who are obese, a random sample of Hoosier
adults is selected. The sample is shown in worksheet DATA13.
13 The point estimate of the population proportion is,
0.461
0.452
0.443
0.434
a
b
с
d
14
a
b
с
d
15
a
b
с
d
16
a
b
с
d
17
a
b
с
d
18
a
b
c
d
19
The standard error of the sample proportion is,
0.0219
0.0207
0.0195
0.0184
The interval estimate with a 95% confidence level is,
0.436
0.430
0.423
0.413
Suppose you want to build an interval estimate for the proportion of Indiana adults who are obese with a 95% confidence
level and a margin of error of ±0.03 (3 percentage points). What is the minimum sample size to achieve this margin of
error? Use the point estimate from question 13 for planning value.
1058
1017
978
940
0.468
0.473
0.480
0.490
Bob built an interval estimate at a 95% confidence level for the mean commuting time (in minutes) from his residence in
Fishers to his work in downtown Indianapolis. He kept track of commuting times for a sample of n days to build the
interval estimate and obtained the following interval.
The sample standard deviation was
Bob used the z-score to determine the margin of error.
How many days were in Bob's sample?
52
43
36
29
only iis correct
only ii is correct
We can make a confidence interval more precise (narrower) by,
i increasing the sample size.
ii increasing the confidence level.
iii reducing the confidence level.
46.1
S=
both i and iii are correct.
both i and ii are correct.
54.3
11.2
You are reading a report that contains a hypothesis test you are interested in. The writer of the report writes that the p-
value for the test you are interested in is 0.0365, but does not tell you the value of the test statistic. Using a as the level of
significance, from this information you ...
a
decide to reject the hypothesis at a = 0.10, but not reject at a = 0.05.
b decide to reject the hypothesis at a = 0.10, and reject at a = 0.05
с
decide not to reject the hypothesis at a = 0.10, and not to reject at a = 0.05
d
cannot decide based on this limited information. You need to know the value of the test statistic.
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