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An advertising firm is trying to determine if a lower proportion of interactions from online advertising result in sales compared to the proportion of interactions

An advertising firm is trying to determine if a lower proportion of interactions from online advertising result in sales compared to the proportion of interactions from television advertising. The firm examines a random sample of each type of interaction. The results of the data collected are shown below.

Online Television

Successes 231 Successes 206

Observations 1000 Observations 700

Proportion 0.231 Proportion 0.294

Confidence Level 95%

z-score 2.926

p-value 0.00169

What is the level of significance?

The null hypothesis is H0:p online

The alternative hypothesis is Ha:p online

Should H0 be rejected or does H0 fail to be rejected?

What conclusion can be drawn from the data?

What are the population parameters? The difference in sample sizes or The difference in the two sample means or The proportion of all interactions in each category that result in sales or The proportion of interactions in the sample in each category that results in sales

Is there sufficient or insufficient evidence exists to support the claim that the proportion of sales generated by online advertising is lower than the proportion generated by television advertising.

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