Past experience indicates that the monthly long distance telephone bill per household in a particular community is normally distributed, with a mean of Sh. 1012 and a standard deviation of Sh. 327. After an advertising campaign that encouraged people to make long distance telephone calls more frequently, a random sample of 57 households revealed that the mean monthly long distance bill was Sh. 1098. Can we conclude at the 10% significance level that the advertising campaign was successful
"\\mu = 1012 \\\\\n\n\\sigma= 327 \\\\\n\n\\bar{x}=1098 \\\\\n\nn=57 \\\\\n\nH_0: \\mu=1012 \\\\\n\nH_1: \\mu > 1012 \\\\\n\nz=\\frac{\\bar{x}-\\mu}{\\sigma\/ \\sqrt{n}} \\\\\n\n= \\frac{1098-1012}{327\/ \\sqrt{57}} = 1.985"
The calculated p-value can be calculated as follows.
"P= 1-P(Z<1.985) \\\\\n\n= 1 -0.9764 = 0.0236"
The calculated p-value is 0.0236. From the p-value, the alternate hypothesis is accepted. We can conclude at the 10% significance level that the advertising campaign was successful.
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