In: Statistics and Probability
17
Suppose we want to estimate the proportion of teenagers (aged
13-18) who are lactose intolerant. If we want to estimate this
proportion to within 5% at the 95% confidence level, how many
randomly selected teenagers must we survey?
18
You want to obtain a sample to estimate a population proportion.
Based on previous evidence, you believe the population proportion
is approximately p∗=61%. You would like to be 95% confident that
your esimate is within 3% of the true population proportion. How
large of a sample size is required?
n =
32
Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported as
y=78.78x+19.44
and the r=0.09.
What percentage of the variation in y can be explained by
the variation in the values of x?
r² = % (Report exact answer, and do not enter the %
sign)
Solution:
17 Suppose we want to estimate the proportion of teenagers (aged 13-18) who are lactose intolerant. If we want to estimate this proportion to within 5% at the 95% confidence level, how many randomly selected teenagers must we survey?
Answer:
Where:
is the critical value at the 0.05 significance level.
Therefore, we have:
18. You want to obtain a sample to estimate a population proportion. Based on previous evidence, you believe the population proportion is approximately p∗=61%. You would like to be 95% confident that your estimate is within 3% of the true population proportion. How large of sample size is required?
Answer:
Where:
is the critical value at the 0.05 significance level.
Therefore, we have:
32. Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported as
y=78.78x+19.44
and r=0.09.
What percentage of the variation in y can be explained by
the variation in the values of x?
r² = % (Report exact answer, and do not enter the %
sign)