A little help with simple stats ...
Posted by
Hong A Ng on
Jan 30, 2014; 3:41pm
URL: http://spssx-discussion.165.s1.nabble.com/A-little-help-with-simple-stats-tp5724237.html
Hi everyone,
I am going through some practice questions from a study guide and have the answers; however I can't seem to figure out why the answer is that way. My mind just isn't wrapping around it. Would someone be able to provide me with some pointers?
q#1
Your company focuses on individuals with a
minimum of $100K in investments (about one million), though it offers more
comprehensive services to those with over $500K and over $1 million. It is especially
interested in data on those segments. It knows that individuals with $500K to $1 million
in investments represent 20% of its market, while those with over $1 million in
investments represent only 5%. Your marketing team wants information that is as accurate as possible.
You have budget enough to complete 600 surveys. Would a disproportionate sample be the right choice for this survey? Why or why not?
Would a disproportionate sample affect the overall reliability of the data on the
population? What would the confidence interval at the 95% confidence level be for the
population if 200 interviews were conducted with:
-
individuals with > $100K to < $500K in investments;
-
individuals with $500K to $1million in investments; and
-
individuals with > $1million in investments.
Below is the answer; however I do not know where they came up with the 266 (I am assuming it's due to the disproportionate sample):
-
Since this is the equivalent of a sample size of 266, the confidence interval at the 95%
confidence level would be +/-6 for the population
q#2
-
-
What is the confidence interval at the 95% confidence level for Region 1 with a sample of 260 and for all Regions if the sample is 600?
Below is the answer, however I am not sure where they got the formulation (SQRT(2500 etc). Could someone exlapin?
-
The confidence interval for Region 1 for a sample of 260 is approximately +/-6.1%
SQRT(2500/260)*1.96
-
The confidence interval for all regions based on a sample of 600 is
approximately +/-4% (SQRT(2500/600)*1.96)
Thank you so much friends!