At a local community college, five statistics classes are randomly selected and

Question

At a local community college, five statistics classes are randomly selected and all of the students from each class are interviewed. What sampling technique is used? convenience systematic random cluster stratified A researcher randomly selects and interviews fifty male and fifty female teachers what sampling technique is used? cluster convenience random systematic stratified A researcher for an airline interviews all of the passengers on five randomly selected flights, What sampling technique is used? random systematic convenience stratified random A community college student interviews everyone in a statistics class to determine who owns a car, What sampling technique is used? cluster systematic convenience stratified random Use Identify the statistical abuse for each: A company accused of downsizing workers defended itself with the following statement "Yes, we were forced to lay off 20% of our workforce last year, but this year we increased our workforce by 20%, and we therefore now have the same number of employees as the layoff" What is the flaw in this argument? You plan to make a survey of 200 people. plan is to talk to every 10th p coming out of the school The library. Is there a problem with your plan? "7 out of 10 dentists recommend Brand X toothpaste". This finding is based on the results of a survey of 10 randomly selected dentists. What is wrong with this survey?

Explanation / Answer

(29) suppose we had 100 people at the start, laying off 20% makes work force of (100 -20)=80 people.

then, in turn increaing 20% of the work force of 80 people, makes the work force (80 + 80*0. 20) =80 +16 =96 ,

which is less than 100 people we started with.

(30) so basically we would need a total of (10*200) =2000 people coming out of the library , which is improbable, and if we dont make a random start our sample would not be a random sample (systematic sampling).

(31) depending upon the total population of the dentists in this case, the sample size required to arrive at a statistically signifcant decision should be chosen, but in any case a sample size of 10 dentists is a a case of undersampling.

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