A marketing manager of a Zambian Indigenous Company took a random sample of 2000 customers who bought a newly introduced product and found that 500 customers knew about the product. After a vigorous advertisement, another sample of 1,500 of customers indicated that 700 customers knew about the new product. Test at 5% level of significance if the advertisement increased the number of customers who know about the new product
Sample Proportion 1
Favorable Cases 1
Sample Size 1
Sample Proportion 2
Favorable Cases 2
Sample Size 2
The value of the pooled proportion is computed as
Significance Level
The following null and alternative hypotheses for the population proportion needs to be tested:
This corresponds to a left-tailed test, and a z-test for two population proportions will be used.
(2) Rejection Region
Based on the information provided, the significance level is and the critical value for a left-tailed test is
The rejection region for this lrft-tailed test is
The z-statistic is computed as follows:
Since it is observed that it is then concluded that the null hypothesis is rejected.
Therefore, there is enough evidence to claim that the population proportion is less than at the significance level.
Using the P-value approach: The p-value is and since it is concluded that the null hypothesis is rejected.
Therefore, there is enough evidence to claim that the population proportion is less than at the significance level.
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