(a) How many of the 75% confidence intervals constructed from the 20 samples contain the population mean, u = 115? (b) How many of the 90% confidence intervals constructed from the 20 samples contain the population mean, μ = 115? (c) Choose ALL that are true. For some of the samples, the 75% confidence interval is included in the 90% confidence interval, while for other samples, this is not the case. It is not surprising that some 75% confidence intervals are different from other 75% confidence intervals. Each confidence interval depends on its sample, and different samples may give different confidence intervals. We would expect to find more 75% confidence intervals that contain the population mean than 90% confidence intervals that contain the population mean. Given a sample, a higher confidence level results in a narrower interval. The sample means for Sample 19 and Sample 20 are different, so the center of the 90% confidence interval for Sample 19 is different from the center of the 90% confidence interval for Sample 20. None of the choices above are true.

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Chapter1: Starting With Matlab
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Suppose we are interested in studying a population to estimate its mean. The population is normal and has a standard deviation of = 11. We have taken a
random sample of size n = 15 from the population. This is Sample 1 in the table below. (In the table, Sample 1 is written "S1", Sample 2 is written "S2", etc.)
As shown in the table, the sample mean of Sample 1 is x = 112.8. Also shown are the lower and upper limits of the 75% confidence interval for the population
mean using this sample, as well as the lower and upper limits of the 90% confidence interval. Suppose that the true mean of the population is μ = 115, which is
shown on the displays for the confidence intervals.
Press the "Generate Samples" button to simulate taking 19 more random samples of size n = 15 from this same population. (The 75% and 90% confidence
intervals for all of the samples are shown in the table and graphed.) Then complete parts (a) through (c) below the table.
75% 75% 90% 90%
lower upper lower upper
limit limit limit limit
S1 112.8 109.5 116.1 108.1 117.5
S2 113.9 110.6 117.2 109.2 118.6
S3 116.4 113.1 119.7 111.7 121.1
S4 111.0 107.7 114.3 106.3 115.7
S5 113.1 109.8 116.4 108.4 117.8
S6 114.0 110.7 117.3 109.3 118.7
S7 116.3 113.0 119.6 111.6 121.0
58 116.3 113.0 119.6 111.6 121.0
59 111.0 107.7 114.3 106.3 115.7
S10|113.8|110.5 | 117.1 | 109.1 | 118.5
511 1145|1112| 117.8 |1098|1192
$12 119.0 115.7 122.3 114.3 123.7
S13 113.6 110.3 116.9 108.9 118.3
S14 119.1 115.8 122.4 114.4 123.8
$15 109.9 106.6 113.2 105.2 114.6
S16 116.6 113.3 119.9 111.9 121.3
117.2 109.2 118.6
S18 109.9 106.6 113.2 105.2 114.6
S17 113.9 110.6
S19 114.6 111.3 117.9 109.9 119.3
$20 115.6 112.3 118.9 110.9 120.3
H
105.0
75% confidence intervals
H
125.0 105.0
90% confidence intervals
Ell
+
125.0
Transcribed Image Text:Suppose we are interested in studying a population to estimate its mean. The population is normal and has a standard deviation of = 11. We have taken a random sample of size n = 15 from the population. This is Sample 1 in the table below. (In the table, Sample 1 is written "S1", Sample 2 is written "S2", etc.) As shown in the table, the sample mean of Sample 1 is x = 112.8. Also shown are the lower and upper limits of the 75% confidence interval for the population mean using this sample, as well as the lower and upper limits of the 90% confidence interval. Suppose that the true mean of the population is μ = 115, which is shown on the displays for the confidence intervals. Press the "Generate Samples" button to simulate taking 19 more random samples of size n = 15 from this same population. (The 75% and 90% confidence intervals for all of the samples are shown in the table and graphed.) Then complete parts (a) through (c) below the table. 75% 75% 90% 90% lower upper lower upper limit limit limit limit S1 112.8 109.5 116.1 108.1 117.5 S2 113.9 110.6 117.2 109.2 118.6 S3 116.4 113.1 119.7 111.7 121.1 S4 111.0 107.7 114.3 106.3 115.7 S5 113.1 109.8 116.4 108.4 117.8 S6 114.0 110.7 117.3 109.3 118.7 S7 116.3 113.0 119.6 111.6 121.0 58 116.3 113.0 119.6 111.6 121.0 59 111.0 107.7 114.3 106.3 115.7 S10|113.8|110.5 | 117.1 | 109.1 | 118.5 511 1145|1112| 117.8 |1098|1192 $12 119.0 115.7 122.3 114.3 123.7 S13 113.6 110.3 116.9 108.9 118.3 S14 119.1 115.8 122.4 114.4 123.8 $15 109.9 106.6 113.2 105.2 114.6 S16 116.6 113.3 119.9 111.9 121.3 117.2 109.2 118.6 S18 109.9 106.6 113.2 105.2 114.6 S17 113.9 110.6 S19 114.6 111.3 117.9 109.9 119.3 $20 115.6 112.3 118.9 110.9 120.3 H 105.0 75% confidence intervals H 125.0 105.0 90% confidence intervals Ell + 125.0
(a) How many of the 75% confidence intervals constructed from the 20 samples contain the population mean, μ = 115?
(b) How many of the 90% confidence intervals constructed from the 20 samples contain the population mean, u = 115?
(c) Choose ALL that are true.
For some of the samples, the 75% confidence interval is included in the 90% confidence interval, while for other
samples, this is not the case.
It is not surprising that some 75% confidence intervals are different from other 75% confidence intervals. Each
confidence interval depends on its sample, and different samples may give different confidence intervals.
We would expect to find more 75% confidence intervals that contain the population mean than 90% confidence
intervals that contain the population mean. Given a sample, a higher confidence level results in a narrower interval.
The sample means for Sample 19 and Sample 20 are different, so the center of the 90% confidence interval for
Sample 19 is different from the center of the 90% confidence interval for Sample 20.
None of the choices above are true.
X
Ś
Transcribed Image Text:(a) How many of the 75% confidence intervals constructed from the 20 samples contain the population mean, μ = 115? (b) How many of the 90% confidence intervals constructed from the 20 samples contain the population mean, u = 115? (c) Choose ALL that are true. For some of the samples, the 75% confidence interval is included in the 90% confidence interval, while for other samples, this is not the case. It is not surprising that some 75% confidence intervals are different from other 75% confidence intervals. Each confidence interval depends on its sample, and different samples may give different confidence intervals. We would expect to find more 75% confidence intervals that contain the population mean than 90% confidence intervals that contain the population mean. Given a sample, a higher confidence level results in a narrower interval. The sample means for Sample 19 and Sample 20 are different, so the center of the 90% confidence interval for Sample 19 is different from the center of the 90% confidence interval for Sample 20. None of the choices above are true. X Ś
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