Suppose, the average U. S. household spends $90 per day. You recently took a random sample of 30 households in Huntsville and the results revealed a mean of $84.50. Suppose the SD is known to be $14.50. Using a 0.05 level of significance, can it be concluded that the average amount spent per day by U.S. households has decreased
"\\bar{x}=84.50 \\\\\n\n\\sigma=14.50 \\\\\n\nn=30 \\\\\n\nH_0: \\mu= 90 \\\\\n\nH_1: \\mu<90"
The test statistic:
"Z=\\frac{\\bar{x}-\\mu}{\\sigma \/ \\sqrt{n}} \\\\\n\nZ = \\frac{84.50-90}{14.50\/ \\sqrt{30}}=-2.08"
The level of significance α=0.05
Since the test is left tailed. Thus, the critical value using the standard normal table is -1.645.
Reject H0 if "Z<Z_{crit}" .
"Z=-2.08<Z_{crit}=-1.645"
Thus, reject the H0.
Hence, it can be concluded that the average amount spent per day by U.S. households has decreased.
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