The mean weekly sales of a four-wheeler were 50 units per agency in 20 agencies. After an advertising campaign, the mean weekly sales increased to 55 units per agency with standard deviation of 10 units. Test whether the advertising campaign was successful. (Use $t_{0.005} = 1.729$ for $19 d.f.$) |
Yes, the campaign was successful; the increase in sales is statistically significant. No, the campaign was not successful; the increase in sales is not statistically significant. The sample size is too small to draw a conclusion. More data is needed about the campaign to perform the test. |
Yes, the campaign was successful; the increase in sales is statistically significant. |
The correct answer is Option (1) → Yes, the campaign was successful; the increase in sales is statistically significant. Given $μ_0 = 50, \bar x = 55, s = 10, n = 20$ As we know that $t =\frac{\bar x - μ_0}{\frac{s}{\sqrt{n}}}=\frac{55-50}{\frac{10}{\sqrt{20}}}=2.236$ Let the hypothesis be given as null hypothesis $H_0: μ_0=50$ Alternative hypothesis $H_a: μ_0> 50$ Given that $t_{d. f (α)} = t_{19 (0.05)} = 1.729$ We have calculated t = 2.236 $∵t> t_α$, so null hypothesis is rejected. Hence, advertising campaign was successful. |