For one month, 500 elementary students kept a daily record of the hours they spent watching television. The average number of hours per week spent watching television was 28. The researchers conducting the study also obtained report cards for each of the students. They found that the students who did well in school tended to spend less time watching television than those students who did poorly. Listed are several possible statements concerning the results of this research. Place a check by every statement that you agree with based on this study.

a. The sample of 500 is too small to permit drawing conclusions about elementary students in general.
b. If a student decreased the amount of time spent watching television, his or her performance in school would improve.
c. Even though students who did well in school watched less television, this doesn't necessarily mean that watching television hurts school performance.
d. One month is not a long enough period of time to estimate how many hours the students really spend watching television.
e. I don't agree with any of these statements.

Answer:

a. The sample of 500 is too small to permit drawing conclusions about elementary students in general.

C. Even though students who did well in school watched less television, this doesn't necessarily mean that watching television hurts school performance.

Step-by-step explanation:

To make inferences about a general population from sample data, we must ensure that the data is considerably large enough and randomized, this is in other to ensure that the sample is representative of the population. Hence, Making conclusion about a very large population such as here, where we want to correlate performance and playing time, a very large sample which should be atleast 10% of the population should be employed. Hence, a sample of 500 ; for making Decison about general elementary students which should run into millions require more samples.

Also Recall that, correlation does not imply causation, The fact that there is a perceives relationship between grade or performance and time spent watching TV does not necessarily mean that poor grade was caused by long duration of hours spent watching television. Other, factors such as, level of intelligence, variation of teachers competence and so on may also be causal factors.

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10

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c
c = w − 9
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m (-3) =

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