An instrument manufacturer of a weight scale claims that after calibration the scale will provide an unbiased estimate of the true weight with a standard deviation of σ = 0.01 grm where the weights will be normally distributed. A sample that weights precisely 2 grams is repeatedly weighed 25 times on the calibrated instrument with a resulting sample mean of 1.998 grams and sample standard deviation of .019. Do you think the scale lives up to both claims, that is that the scale is unbiased with a true standard deviation of σ=.01 grms?
null hypothesis: Ho: | σ = | 0.01 | |||
Alternate hypothesis: Ha: | σ ≠ | 0.01 |
df =n-1=25-1=24
for 5 % level and given df critical values of F = | 23.767 | & | 39.364 | |||
Decision rule:reject Ho if test statistic X2 in critical region: | 23.767 | < X2 > | 39.364 |
test statistic X2 =(n-1)*(s/σ)2 =(25-1)*(0.019/0.01)2 =86.64
as test statistic is in rejection region; we reject null hypothesis
we have sufficient evidence at 0.05 level to conclude that scale is not unbiased with a true standard deviation of σ=.01 grms
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