Question
9
5
%
confidence interval for
Lower bound of the interval is
0
.
1
5
6
Upper bound of the interval is
0
.
3
2
4
9
9
%
confidence interval for
Lower bound of the interval is
0
.
1
3
0
Upper bound of the interval is
0
.
3
5
Which interval is wider
(
9
5
%
or
9
9
%
)
?
[
Select
]
Will it always be the case?
5
%
confidence interval for
Lower bound of the interval is
0
.
1
5
6
Upper bound of the interval is
0
.
3
2
4
9
9
%
confidence interval for
Lower bound of the interval is
0
.
1
3
0
Upper bound of the interval is
0
.
3
5
Which interval is wider
(
9
5
%
or
9
9
%
)
?
[
Select
]
Will it always be the case?
Answers
There are no human answers yet.
Answered by
GPT-4o mini
To determine which confidence interval is wider, we can compare the widths of the two intervals given:
1. For the **95% confidence interval**:
- Lower bound: \( 0.156 \)
- Upper bound: \( 0.3249 \)
- Width: \( 0.3249 - 0.156 = 0.1689 \)
2. For the **99% confidence interval**:
- Lower bound: \( 0.130 \)
- Upper bound: \( 0.35 \)
- Width: \( 0.35 - 0.130 = 0.22 \)
Now comparing the widths:
- 95% confidence interval width = \( 0.1689 \)
- 99% confidence interval width = \( 0.22 \)
Since \( 0.22 > 0.1689 \), the **99% confidence interval** is wider than the **95% confidence interval**.
### Answer to the second question:
Generally, yes, higher confidence levels (e.g., increasing from 95% to 99%) will result in wider confidence intervals. This is because higher confidence levels require a larger margin of error to account for variability, thereby leading to a wider interval to ensure the estimated range contains the population parameter with the specified level of confidence.
1. For the **95% confidence interval**:
- Lower bound: \( 0.156 \)
- Upper bound: \( 0.3249 \)
- Width: \( 0.3249 - 0.156 = 0.1689 \)
2. For the **99% confidence interval**:
- Lower bound: \( 0.130 \)
- Upper bound: \( 0.35 \)
- Width: \( 0.35 - 0.130 = 0.22 \)
Now comparing the widths:
- 95% confidence interval width = \( 0.1689 \)
- 99% confidence interval width = \( 0.22 \)
Since \( 0.22 > 0.1689 \), the **99% confidence interval** is wider than the **95% confidence interval**.
### Answer to the second question:
Generally, yes, higher confidence levels (e.g., increasing from 95% to 99%) will result in wider confidence intervals. This is because higher confidence levels require a larger margin of error to account for variability, thereby leading to a wider interval to ensure the estimated range contains the population parameter with the specified level of confidence.
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