A manufacturer of potato chips would like to know whether its bag filling machine works correctly at the 409 gram setting. It is believed that the machine is underfilling the bags. A 20 bag sample had a mean of 399 grams with a standard deviation of 21. Assume the population is normally distributed. A level of significance of 0.02 will be used. Find the P-value of the test statistic. You may write the P-value as a range using interval notation, or as a decimal value rounded to four decimal places.
Hypotheses are,
H0: = 409 grams
H1: < 409 grams
Given,
Sample mean = 399 grams
Sample standard deviation, s = 21
Hypothesized mean, = 409 grams
Since we do not know the population standard deviation, we will use t test statistic.
Standard error of mean = s / = 21 / = 4.696
t = (399 - 409) / 4.696 = -2.13
Degree of freedom = n - 1 = 20 - 1 = 19
For left tail test, p-value = P(t < -2.13, df = 19) = 0.0232
Since, p-value is greater than 0.02 significance level, we fail to reject null hypothesis H0 and conclude that there is no strong evidence that the machine is underfilling the bags.
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