In: Statistics and Probability
a) Identify the claim: state the null and alternative hypotheses. b) Determine the test: left-tailed, right-tailed, or two-tailed. c) Graph your bell-shaped curve and label your levels of significance or critical value. d) Find your standardized test statistic ? and label it on your graph. e) Decide whether to reject or fail to reject the null hypothesis. f) Interpret your result.
A local brewery distributes beer in bottles labeled 32 ounces. A government agency thinks that the brewery is cheating its customers. The agency selects 50 of these bottles, measures their contents, and obtains a sample mean of 31.7 ounces with a population standard deviation of 0.70 ounce. Use a 0.01 significance level to test the agency's claim that the brewery is cheating its customers.
Given
A local brewery distributes beer in bottles labeled 32 ounces.
a)
null and alternative hypothesis:
H0: = 32
H1 : 32
n = 50
sample mean () = 31.7 ounces
standard deviation () = 0.70 ounce
= 0.01 = /2 = 0.005
b)
the test is two-tailed test
c)
df = n-1 = 49
tcritical = t /2 ,df = 2.6800 (From t - distribution Critical Values Table)
d)
test statistic (Z):
Z = -3.0304
P -value = 0.00122
e)
test statistic (Z) < tcritical
-3.0304 < 2.6800
and also P -value <
0.00122 < 0.01
reject the null hypothesis(H0)
f)
test statistic (Z) < tcritical
reject the null hypothesis(H0) , but there is not sufficient evidence to reject the claim, that beer content is 32 ounces.
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