Bill, a psychologist, has developed a new aptitude test. He was able to show that 80% of the public passed the test. A second psychologist, Tamera, wants to recreate the study. She believes the actual percentage is less than 80%. A random sample of 200 people took the test, and 150 passed. Does Tamera have enough evidence to say that Bill's test is invalid? Justify your answer with statistical evidence.

Question

Abel Giles

Social Studies

12 September, 06:10

Bill, a psychologist, has developed a new aptitude test. He was able to show that 80% of the public passed the test. A second psychologist, Tamera, wants to recreate the study. She believes the actual percentage is less than 80%. A random sample of 200 people took the test, and 150 passed. Does Tamera have enough evidence to say that Bill's test is invalid? Justify your answer with statistical evidence.

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Answers (1)

Know the Answer?

Jamie · Answer 1

NO

Explanation:

In simple words, the given case illustrates the problem of sampling error. Sampling error refers to the changed or uncertain results in an analysis or research due to defects in samples taken. This can due to many different reasons.

In the given case, It is not mentioned how much number of individuals did bill took into consideration as compared to Tamera. Thus, the difference in number of population could be the result or the difference in some other aspect could lead to such different results.