In: Statistics and Probability
The 95% confidence interval for the true difference between the proportions of all U.S adult women and men who would answer “Yes” to the question was between -13.2% and -0.82%.
with 95% confidence.
1.
A. is considered here. So this is not best interpretation.
B. The term '95% confidence interval' is ignored here. So this is not best interpretation.
C. This is the best interpretation.
Hence, the best interpretation is (C).
2.
A. This is not a proper statistical testing conclusion as there is no use of standard deviation term here.
B. Since level of significance denotes probability of type I error, it can not be negative. So, this is an invalid statement.
C. This is not a proper statistical testing conclusion as there is no use of standard deviation term here.
D. As , this is the statement that is supported by the poll results.
Hence, (D).
3.
The statement suggest that if we take more and more samples, on average in 95% of the time we shall obtain the difference in the interval .
Hence, the best interpretation is (A).