Advertisers contract with Internet service providers and search engines to place ads on websites. They pay a fee based on the number of potential customers who click on their ad. Unfortunately, click fraud—the practice of someone clicking on an ad solely for the purpose of driving up advertising revenue—has become a problem. According to BusinessWeek, 33% of advertisers claim they have been a victim of click fraud. Suppose a simple random sample of 220 advertisers will be taken to learn more about how they are affected by this practice (use z-table) a. What is the probability that the sample proportion will be within ±0.02 of the population proportion experiencing click fraud? (to decimals) b. What is the probability that the sample proportion will be greater than 0.40 ? (to decimals)
Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
Advertisers contract with Internet service providers and search engines to place ads on websites. They pay a fee based on the number of potential customers who click on their ad. Unfortunately, click fraud—the practice of someone clicking on an ad solely for the purpose of driving up advertising revenue—has become a problem. According to BusinessWeek, 33% of advertisers claim they have been a victim of click fraud. Suppose a simple random sample of 220 advertisers will be taken to learn more about how they are affected by this practice (use z-table)
a. What is the
(to decimals)
b. What is the probability that the sample proportion will be greater than 0.40 ?
(to decimals)
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