Astudy was conducted by a local high school with a graduating class of 450 to determine what factor

They calculated what percent of the students in the study said location was the most important factor (.5918), then used that percentage and the 450 to get the 266. This is extrapolation, or using figures for beyond what their purpose is. 

The study used a sample of students, ie 98 students in a universe of 450 students. The sample for this type of survey is random. The survey found that 58 students out of 98 respondents, or approximately 59% of students consider the location a decisive factor in choosing the university. However, the mistake of the study was to apply this percentage to the total universe of students and come to the conclusion that 266 students (60% of 450) consider the same thing.

It cannot be done. Statistically, a sample study has about 95% confidence. However, since the sample is random, if the experiment is run again, there is a 5% chance of reaching another value.

Therefore, the correct conclusion would be to keep only the sample universe and point out that 60% of students in that school consider location a fundamental factor. Another option would be to extend the research to the entire universe of students, so that they can make a statement under the total.

Step-by-step explanation:

but witch one is it  

precise numbers

correlation and causality

self interest

voluntary response

Hi my answer -

Question 10 .
They should not publish the term "266 students". This is because they did not interview the whole 450 students.

They should only state the percentage of students who consider location as a great influence based from the number of students who participated in the study.

98 students participated. Out of the 98, 58 chose location. With these data, you can safely say that 59% of the participating students would consider location as the greatest influence in determining which college to attend.

58 / 98 = 0.591 * 100% = 59.1% or 59%. 

Question 11.

B. Categorical data

Question 12 . 

B)Possible and likely

Question 13


you can not reject the claim, nor confirm it with such a small sample size

D) small sample size

Question 14


bad sample
The sample is not representative of the entire school, it's a biased sample,

Question 15

C)correlation and causality

P.S

Happy to help you have an AWESOME day

They should not publish the term "266 students". This is because they did not interview the whole 450 students.

They should only state the percentage of students who consider location as a great influence based from the number of students who participated in the study.

98 students participated. Out of the 98, 58 chose location. With these data, you can safely say that 59% of the participating students would consider location as the greatest influence in determining which college to attend.

58 / 98 = 0.591 * 100% = 59.1% or 59%.