In quality–control applications of hypothesis testing, the null and alternative hypotheses are frequently specified as H0: The production process is performing satisfactorily and Ha: The process is performing in an unsatisfactory manner. Accordingly, α is sometimes referred to as the producer's risk, while β is called the consumer's risk. An injection molder produces plastic golf tees with a mean weight of 0.252 ounce. To investigate whether the injection molder is operating satisfactorily, 40 tees were randomly sampled from the last hour's production. Their weights (in ounces) are listed in the accompanying table. Complete parts a through g. 0.248 0.251 0.249 0.250 0.255 0.251 0.251 0.248 0.248 0.251 0.254 0.252 0.256 0.251 0.252 0.253 0.250 0.254 0.254 0.254 0.251 0.251 0.252 0.249 0.249 0.251 0.252 0.253 0.248 0.252 0.252 0.252 0.249 0.252 0.249 0.253 0.252 0.249 0.249 0.251 b. Access the data and find x and s. x = enter your response here s = enter your response here (Round to four decimal places as needed.)
In quality–control applications of hypothesis testing, the null and alternative hypotheses are frequently specified as H0: The production process is performing satisfactorily and Ha: The process is performing in an unsatisfactory manner. Accordingly, α is sometimes referred to as the producer's risk, while β is called the consumer's risk. An injection molder produces plastic golf tees with a mean weight of 0.252 ounce. To investigate whether the injection molder is operating satisfactorily, 40 tees were randomly sampled from the last hour's production. Their weights (in ounces) are listed in the accompanying table. Complete parts a through g. 0.248 0.251 0.249 0.250 0.255 0.251 0.251 0.248 0.248 0.251 0.254 0.252 0.256 0.251 0.252 0.253 0.250 0.254 0.254 0.254 0.251 0.251 0.252 0.249 0.249 0.251 0.252 0.253 0.248 0.252 0.252 0.252 0.249 0.252 0.249 0.253 0.252 0.249 0.249 0.251 b. Access the data and find x and s. x = enter your response here s = enter your response here (Round to four decimal places as needed.)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
In
quality–control
applications of hypothesis testing, the null and alternative hypotheses are frequently specified as
H0:
The production process is performing satisfactorily and
Ha:
The process is performing in an unsatisfactory manner. Accordingly,
α
is sometimes referred to as the producer's risk, while
β
is called the consumer's risk. An injection molder produces plastic golf tees with a mean weight of
0.252
ounce. To investigate whether the injection molder is operating satisfactorily,
40
tees were randomly sampled from the last hour's production. Their weights (in ounces) are listed in the accompanying table. Complete parts a through
g.
|
0.248
|
0.251
|
0.249
|
0.250
|
0.255
|
0.251
|
0.251
|
0.248
|
0.248
|
0.251
|
|
|
0.254
|
0.252
|
0.256
|
0.251
|
0.252
|
0.253
|
0.250
|
0.254
|
0.254
|
0.254
|
|
|
0.251
|
0.251
|
0.252
|
0.249
|
0.249
|
0.251
|
0.252
|
0.253
|
0.248
|
0.252
|
|
|
0.252
|
0.252
|
0.249
|
0.252
|
0.249
|
0.253
|
0.252
|
0.249
|
0.249
|
0.251
|
b. Access the data and find
x
and s.|
x
|
=
|
enter your response here
|
|
s
|
=
|
enter your response here
|
|
|
|
(Round to four decimal places as needed.)
|
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d. Find the p-value for the test.
p-value=enter your response here
(Round to three decimal places as needed.)
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c. Calculate the test statistic.
z=enter your response here
(Round to two decimal places as needed.)
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