Question
A researcher computes a
factory. The interval is (
a) Out of all the widgets produced in all widget factories,
b) We can be
c) There’s a
d) Ninety percent of all sample means are equivalent to the true mean weight of all the widgets.
factory. The interval is (
a) Out of all the widgets produced in all widget factories,
b) We can be
c) There’s a
d) Ninety percent of all sample means are equivalent to the true mean weight of all the widgets.
Ask by Best Vargas. in the United States
Jan 24,2025
Upstudy AI Solution
Tutor-Verified Answer
Answer
There’s a
Solution
The correct interpretation of a
c) There’s a
Explanation:
A confidence interval aims to estimate the range within which the true population mean is likely to lie, based on sample data. Here’s why the other options are incorrect:
-
a) This option incorrectly interprets the confidence interval as applying to individual widget weights across all factories, rather than to the population mean.
-
b) This suggests that all individual widgets fall within the interval, which is not the case. The confidence interval pertains to the mean, not individual measurements.
-
d) This is misleading because the confidence level refers to the proportion of intervals that would contain the true mean if the experiment were repeated many times, not to the equivalence of sample means.
Option c accurately reflects the essence of the confidence interval: there is a
Answer:
Option c) There’s a
Option c) There’s a
Answered by UpStudy AI and reviewed by a Professional Tutor
Like
error msg
Explain 
Simplify this solution Mind Expander
Let’s clarify this concept with a little more context! Confidence intervals are a statistical tool used to estimate the range in which the true population parameter lies. When a researcher creates a
Now, if you’re scratching your head over the options: the correct interpretation is that we are
Always keep in mind that a common mistake when interpreting confidence intervals is thinking that the interval describes the weights of individual widgets or other inappropriate applications. Instead, it’s all about estimating the mean, so focus on that aspect to avoid confusion!
