You are looking at a population and are interested in the proportion, that has a certain characteristic. Unknown to you, this population proportion is p-8.30. You have taken a random sample of size -110 from the population and found that the proportion of the sample that has the characteristic is-027. Your sample is Sample 1 in the table below. (In the table, Sample 1 is written "S1", Sample 2 is written "S2", etc.) (4) Based on Sample 1, graph the 75% and 95% confidence intervals for the population proportion. Use 1150 for the critical value for the 75% confidence interval, and use 1.960 for the critical value for the 95% confidence interval. (If necessary, consult a list of formulas.) • Enter the lower and upper limits on the graphs to show each confidence interval. Write your answers with two decimal places. • For the points (. and.), enter the population proportion, 0.30. KIS S 6.15 75% confidence interval 95% confidence interval 75% 75% 95% 95% lower upper lower upper limit limit limit limit $12 0.24 0.19 513 0.36 0.31 81 0.27 7 52 0.29 0.24 0.34 0.21 037 53 0.29 0.24 0.34 0.21 0.37 54 0.32 0.27 0.37 0.23 0.41 ss 0.40 8.35 0.45 6:31 0.49 56 0.33 0.28 0.38 0.24 0.42 57 6.29 0.24 0.34 0.37 58 0.24 0.19 0.29 0.16 0.32 59 0.31 0.26 0.36 0.22 0.40 810 0.28 0.23 0.33 0.36 511 6.31 0.26 (b)Press the "Generate Samples" button below to simulate taking 19 more samples of size -110 from the same population. Notice that the confidence intervals for these samples are drawn automatically. Then complete parts (c) and (d) below the table. 0.20 0.36 0.22 0.40 0.29 0.16 0.32 041 0.27 0.45 $14 0.30 0.25 0.35 0.21 0.39 815 6.31 0.26 0.36 0.22 0.40 516 0.37 0.32 042 0.28 046 S17 0.30 0.25 0.35 0.21 0.39 516 0.37 0.12 042 0.28 0.46 $19 0.30 0.25 0.35 0.21 0.39 $20 0.33 0.28 0.38 0.24 0.42 6.50 0.15 0.50 4.30 0.50 75% confidence intervals 19 Notice that for 20-95% of the samples, the 95% 0.50 0.15 confidence interval contains the population proportion. Choose the correct statement. When constructing 95% confidence intervals for 20 samples of the same size from the population, at most 95% of the samples will contain the population proportion. When constructing 95% confidence intervals for 20 samples of the same size from the population, it is possible that more or fewer than 95% of the samples will contain the population proportion. When constructing 95% confidence intervals for 20 samples of the same size from the population, exactly 95% of the samples will contain the population proportion. 95% confcence intervals Mana G 9.50

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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You are looking at a population and are interested in the proportion,
that has a certain characteristic. Unknown to you, this population.
proportion is p-0.30. You have taken a random sample of size -110 from
the population and found that the proportion of the sample that has the
characteristic is-027. Your sample is Sample 1 in the table below. (In
the table, Sample 1 is written "S1", Sample 2 is written "S2", etc.)
(4) Based on Sample 1, graph the 75% and 95% confidence intervals for
the population proportion. Use 1150 for the critical value for the 75%
confidence interval, and use 1.960 for the critical value for the 95%
confidence interval. (If necessary, consult a list of formulas.)
• Enter the lower and upper limits on the graphs to show each.
confidence interval. Write your answers with two decimal
places.
• For the points (and), enter the population proportion, 0.30
AIS
6.15
AIS
6.15
75% confidence interval
93
X
95% confidence interval
[93]
75% 75% 95% 95%
lower upper lower upper
limit limit limit limit
$1 0.2777
52 0.29 0.24 0.34 0.21 0.37
53 0.29 0.24 0.34 0.21 037
54 0.32 0.27 0.37 0.23 0.41
ss 0.40 8.35 045 831 049
56 0.33 0.28 0.38 0.24 0.42
57 0.29 0.24 0.34 0.21 0.37
58 0.24 0.19 0.29 0.16 0.32
0.36 0.22 0.40
0.33 0.20 0.36
59 0.31 0.26
$10 0.28 0.23
811 0.31 0.36 0.36 0.22 0.40
$120.24 0.19 0.29 0.16 0.32
$13 0.36 0.31 041 0.27 0.45
$14 6.30 0.25 0.35 0.21 0.39
515 0.31 0.26 0.36 0.22 0.40
0.46
516 0.37 0.32 0.42
042 0.28
$17 0.30 0.25 0.35 21 0.39
$18 0.37 0.32 0.42 0.28
0.46
0.35 0.21 0.39
$19 0.30 0.25
$20 0.33 0.28 0.38 0.24 0.42
$
Press the "Generate Samples" button below to simulate taking 19
more samples of size -110 from the same population. Notice that
the confidence intervals for these samples are drawn
automatically. Then complete parts (c) and (d) below the table.
0.50
0.50
4.30
0.50
(4) Choose ALL that are true.
75% confidence intervals
HI
F
H
H
HH
H
HH
H
H
0.50 0.15
Notice that for 20-95% of the samples, the 95%
confidence interval contains the population proportion.
Choose the correct statement.
When constructing 95% confidence intervals for 20
samples of the same size from the population, at
most 95% of the samples will contain the population
proportion.
When constructing 95% confidence intervals for 20
samples of the same size from the population, it is
possible that more or fewer than 95% of the samples.
will contain the population proportion.
When constructing 95% confidence intervals for 20
samples of the same size from the population,
exactly 95% of the samples will contain the population
proportion.
If there were a Sample 21 of size -180 with the
same sample proportion as Sample 14, then the 95%
confidence interval for Sample 21 would be narrower
than the 95% confidence interval for Sample 14.
The 75% confidence interval for Sample 14 is narrower
than the 95% confidence interval for Sample 14. This
is coincidence; when constructing a confidence
interval for a sample, there is no relationship
between the level of confidence and the width of the
interval.
Even though 95% (a level of confidence) does not
equal 0.30 (the population proportion), it could be
that a 95% confidence interval contains the population
proportion 0.30.
From the 75% confidence interval for Sample 14, we
know that there is a 75% probability that the
population proportion is between 0.15 and 0.50.
None of the choices above are true.
95% confidence intervals
F
H
F
T
H
H
H
-
H
………….
9.50
Transcribed Image Text:You are looking at a population and are interested in the proportion, that has a certain characteristic. Unknown to you, this population. proportion is p-0.30. You have taken a random sample of size -110 from the population and found that the proportion of the sample that has the characteristic is-027. Your sample is Sample 1 in the table below. (In the table, Sample 1 is written "S1", Sample 2 is written "S2", etc.) (4) Based on Sample 1, graph the 75% and 95% confidence intervals for the population proportion. Use 1150 for the critical value for the 75% confidence interval, and use 1.960 for the critical value for the 95% confidence interval. (If necessary, consult a list of formulas.) • Enter the lower and upper limits on the graphs to show each. confidence interval. Write your answers with two decimal places. • For the points (and), enter the population proportion, 0.30 AIS 6.15 AIS 6.15 75% confidence interval 93 X 95% confidence interval [93] 75% 75% 95% 95% lower upper lower upper limit limit limit limit $1 0.2777 52 0.29 0.24 0.34 0.21 0.37 53 0.29 0.24 0.34 0.21 037 54 0.32 0.27 0.37 0.23 0.41 ss 0.40 8.35 045 831 049 56 0.33 0.28 0.38 0.24 0.42 57 0.29 0.24 0.34 0.21 0.37 58 0.24 0.19 0.29 0.16 0.32 0.36 0.22 0.40 0.33 0.20 0.36 59 0.31 0.26 $10 0.28 0.23 811 0.31 0.36 0.36 0.22 0.40 $120.24 0.19 0.29 0.16 0.32 $13 0.36 0.31 041 0.27 0.45 $14 6.30 0.25 0.35 0.21 0.39 515 0.31 0.26 0.36 0.22 0.40 0.46 516 0.37 0.32 0.42 042 0.28 $17 0.30 0.25 0.35 21 0.39 $18 0.37 0.32 0.42 0.28 0.46 0.35 0.21 0.39 $19 0.30 0.25 $20 0.33 0.28 0.38 0.24 0.42 $ Press the "Generate Samples" button below to simulate taking 19 more samples of size -110 from the same population. Notice that the confidence intervals for these samples are drawn automatically. Then complete parts (c) and (d) below the table. 0.50 0.50 4.30 0.50 (4) Choose ALL that are true. 75% confidence intervals HI F H H HH H HH H H 0.50 0.15 Notice that for 20-95% of the samples, the 95% confidence interval contains the population proportion. Choose the correct statement. When constructing 95% confidence intervals for 20 samples of the same size from the population, at most 95% of the samples will contain the population proportion. When constructing 95% confidence intervals for 20 samples of the same size from the population, it is possible that more or fewer than 95% of the samples. will contain the population proportion. When constructing 95% confidence intervals for 20 samples of the same size from the population, exactly 95% of the samples will contain the population proportion. If there were a Sample 21 of size -180 with the same sample proportion as Sample 14, then the 95% confidence interval for Sample 21 would be narrower than the 95% confidence interval for Sample 14. The 75% confidence interval for Sample 14 is narrower than the 95% confidence interval for Sample 14. This is coincidence; when constructing a confidence interval for a sample, there is no relationship between the level of confidence and the width of the interval. Even though 95% (a level of confidence) does not equal 0.30 (the population proportion), it could be that a 95% confidence interval contains the population proportion 0.30. From the 75% confidence interval for Sample 14, we know that there is a 75% probability that the population proportion is between 0.15 and 0.50. None of the choices above are true. 95% confidence intervals F H F T H H H - H …………. 9.50
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