A marketing executive is comparing the mean weekly sales revenue of two advertising media, television (T) and Internet (I). Weekly sales data was compiled and is shown below. The populations of weekly sales revenues appear to be normally distributed. At the 10% significance level, test the claim that television advertising and Internet advertising generate different mean weekly sales revenues (claim: 
) by choosing the correct answer below.
A. Test statistic: 2.44, Critical value(s): ±1.645, Conclusion: The data allow rejection of the claim that television and internet advertising generate different mean weekly sales revenues.
B. Test statistic: 1.56, Critical value(s): ±1.96, Conclusion: The data do not support the claim that television and internet advertising generate different mean weekly sales revenues.
C. Test statistic: 1.56, Critical value(s): ±1.645, Conclusion: The data do not support the claim that television and internet advertising generate different mean weekly sales revenues.
D. Test statistic: 2.44, Critical value(s): 1.96, Conclusion: The data allow rejection of the claim that television and internet advertising generate different mean weekly sales revenues.
C. Test statistic: 1.56, Critical value(s): ±1.645, Conclusion: The data do not support the claim that television and internet advertising generate different mean weekly sales revenues.
Critical value = ±1.645. Since 1.56 lies between ?1.645 and 1.645, do not reject the null hypothesis and, thus, do not support the claim that .
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