An ice cream company claimed that it's product contained 500 calories per pint (on the average mew=500) To test this claim at 1% level of significance
The necessary steps in hypothesis testing are
The necessary steps in hypothesis testing are:
Set up the null and the alternative hypothesis.
"H_0: \\mu=500 \\\\\n\nH_1: \\mu \u2260500"
Calculate test statistic:
Under the test statistic for one sample t-test is
"t = \\frac{\\bar{x} - \\mu}{s\/ \\sqrt{n}}"
"\\bar{x}" = sample mean
s = standard deviation
α= level of significance
α=0.01
Find "t_{\u03b1\/2,n-1}" by using t-table. You need to know degree of freedom (n-1) and level of significance.
Reject or accept the null hypothesis.
If test statistics "|t| > t_{\u03b1\/2,n-1}" , you have sufficient evidence to reject H0.
Make conclusion.
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