last year the employees of the city health department donated an average of $ 8 to the rescue squad. test the hypothesis at the 0.01 level of significance that the average contribution this year is still $ 8 if a random sample of 35 employees showed an average donation of $ 8.90 with a standard deviation of $ 1.75.
Hypotheses
H0: μ= 8
Ha: μ≠ 8
α = 0.01
Test statistic
Since the sample size n=35 statistically is considered large enough (n >30), the appropriate statistical test is the Z statistic given by the formula:
Z = "\\frac{X -\\mu}{s\/\\sqrt{n}}"
Decision rule
From the Z normal distribution table, the critical value for a 99% significance level for two-tailed test is ±2.55. Therefore, we reject the null hypothesis if the computed test statistic Z ≤ -2.55 (lower critical region) or if Z ≥ 2.55 (upper critical region)
Computed test statistic
Given sample mean X̄ = 8.9,
Sample standard deviation s = 1.75 and n=35,
Z = "\\frac{X -\\mu}{s\/\\sqrt{n}}" = "\\frac{8.9 -8}{1.75\/\\sqrt{35}}" = 3.04
Decision
Since the computed test statistic Z = 3.04>2.55 (the upper critical region), we reject the null hypothesis.
Conclusion
At 0.01 significance level, the results are highly significant suggesting that the data provides sufficient statistical evidence to support the claim that the true population average contribution this year is not equal to $8.
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