The weights (lb) of discarded plastic from a sample of households is listed and the summary statistics are n=62, x̅=1.911 lb, and s=1.065 lb. Use a 0.05 significance level to test the claim that the mean weight of discarded plastics from a population of households is greater than 1.800 lb. What null hypothesis can be formulated for this claim?
Given that,
Hypothesized population mean(u)=1.800
Sample standard deviation (s)=1.065
Sample size (n)=62
Sample mean (x̅)=1.911
Significance level "(\\beta)" =0.05
claim "\u03bc>1.800"
"Hypothesis\\\\H_o:\u03bc=1.800\\\\ H_a:\u03bc>1.800"
"t_c=1.670"
degree of freedom "df=n-1=62-1=61"
tcritical:
"p(t_{df}\\text{\\textgreater}t_c)=0.05\\\\p({t_{61}}\\text{\\textgreater}t_c)=0.05"
Test statistic: "t=\\frac{\\bar x-\\mu}{\\frac{s}{\\sqrt{n}}}=\\frac{1.911-1.800}{\\frac{1065}{\\sqrt{62}}}=0.8207"
"t=0.8207"
p-value;
"p(t_{df}\\text{\\textgreater}0.8207)\\\\p(t_{61}\\text{\\textgreater}0.8207)\\\\=0.2075"
here p-value "\\text{\\textgreater}" significance level
It is then concluded that the null hypothesis is not rejected.
There is no enough evidence to claim that the population mean is greater than 1.800 at the 0.05 significance level.
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