In marketing, response modeling is a method for identifying customers most likely to respond to an advertisement. Suppose that in past campaigns 81.6% of customers identified as likely respondents responded to a nationwide direct marketing campaign. After making improvements to their model, a team of marketing analysts hoped that the proportion of customers identified as likely respondents who responded to a new campaign would increase. The analysts selected a random sample of 1500 customers and found that 1248 responded to the marketing campaign. The marketing analysts want to use a one‑sample z‑test to see if the proportion of customers who responded to the advertising campaign, p, has increased since they updated their model. They decide to use a significance level of ?=0.10 What is the z score and p value?
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.
In marketing, response modeling is a method for identifying customers most likely to respond to an advertisement. Suppose that in past campaigns 81.6% of customers identified as likely respondents responded to a nationwide direct marketing campaign. After making improvements to their model, a team of marketing analysts hoped that the proportion of customers identified as likely respondents who responded to a new campaign would increase. The analysts selected a random sample of 1500 customers and found that 1248 responded to the marketing campaign.
The marketing analysts want to use a one‑sample z‑test to see if the proportion of customers who responded to the advertising campaign, p, has increased since they updated their model. They decide to use a significance level of ?=0.10
What is the z score and p value?
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