Answer:
b. A small P-value.
Step-by-step explanation:
The p-value is used to study the validity of a test. Basically, it tests if the result found is due to a small sample, for example, or that if the result is really statistically significant.
A small pvalue is a strong evidence against the null hypotheses, which indicates statistically significant results.
So the correct answer is:
b. A small P-value.
There is a relationship between confidence interval and standard deviation:
Where
is the mean,
is standard deviation, and n is number of data points.
Every confidence interval has associated z value. This can be found online.
We need to find the standard deviation first:
When we do all the calculations we find that:
Now we can find confidence intervals:
We can see that as confidence interval increases so does the error margin. Z values accociated with each confidence intreval also get bigger as confidence interval increases.
Here is the link to the spreadsheet with standard deviation calculation:
https://docs.google.com/spreadsheets/d/1pnsJIrM_lmQKAGRJvduiHzjg9mYvLgpsCqCoGYvR5Us/edit?usp=sharing
Answer:
Step-by-step explanation: