A steel pipe company recently developed a new pipe product for a customer. According to​ specifications, the pipe is supposed to have an average outside diameter of 2.00 inches with a standard deviation equal to 0.10​ inches, and the distribution of outside diameters is to be normally distributed. Before going into​ full-scale production, the company selected a random sample of 30 sections of pipe from the initial test​ run, as shown in the accompanying table. Complete parts a and b below. (

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A steel pipe company recently developed a new pipe product for a customer. According to​ specifications, the pipe is supposed to have an average outside diameter of 2.00 inches with a standard deviation equal to 0.10​ inches, and the distribution of outside diameters is to be normally distributed. Before going into​ full-scale production, the company selected a random sample of 30 sections of pipe from the initial test​ run, as shown in the accompanying table. Complete parts a and b below. (Data are shown in images)

 

i Data Table
Full data set
Diameter
Diameter
Pipe Section (inches)
Pipe Section (inches)
1
2.03
16
1.96
2
2.14
17
1.88
3
2.07
18
1.99
4
1.99
19
2.14
5
1.91
20
1.91
2.07
21
1.91
7
2.19
22
1.96
8
2.02
23
2.18
9
2.05
24
1.94
10
1.99
25
1.93
11
1.94
26
2.08
12
1.91
27
1.82
13
2.09
28
1.94
14
2.03
29
1.96
15
2.11
30
1.81
Print
Done
Transcribed Image Text:i Data Table Full data set Diameter Diameter Pipe Section (inches) Pipe Section (inches) 1 2.03 16 1.96 2 2.14 17 1.88 3 2.07 18 1.99 4 1.99 19 2.14 5 1.91 20 1.91 2.07 21 1.91 7 2.19 22 1.96 8 2.02 23 2.18 9 2.05 24 1.94 10 1.99 25 1.93 11 1.94 26 2.08 12 1.91 27 1.82 13 2.09 28 1.94 14 2.03 29 1.96 15 2.11 30 1.81 Print Done
A steel pipe company recently developed a new pipe product for a customer. According to specifications, the pipe is supposed to have an average outside diameter of
2.00 inches with a standard deviation equal to 0.10 inch, and the distribution of outside diameters is to be normally distributed. Before going into full-scale production, the
company selected a random sample of 30 sections of pipe from the initial test run, as shown in the accompanying table. Complete parts a and b below.
E Click the icon to view the data table.
O B. Ho: µ+2.00
HA: H= 2.00
C. Ho: The pipe diameter is normally distributed with u= 2.00 and o = 0.10.
HA: The pipe diameter is not normally distributed with u = 2.00 and o = 0.10.
O D. Ho: The pipe diameter is not normally distributed with u =2.00 and o = 0.10.
HA: The pipe diameter is normally distributed with u = 2.00 and o = 0.10.
Find the observed frequency of each class.
Observed
Class
Frequency
Under 1.9
3
1.9 to under 2.0
14
2.0 to under 2.1
8
2.1 and over
The test statistic is x
(Round to three decimal places as needed.)
Transcribed Image Text:A steel pipe company recently developed a new pipe product for a customer. According to specifications, the pipe is supposed to have an average outside diameter of 2.00 inches with a standard deviation equal to 0.10 inch, and the distribution of outside diameters is to be normally distributed. Before going into full-scale production, the company selected a random sample of 30 sections of pipe from the initial test run, as shown in the accompanying table. Complete parts a and b below. E Click the icon to view the data table. O B. Ho: µ+2.00 HA: H= 2.00 C. Ho: The pipe diameter is normally distributed with u= 2.00 and o = 0.10. HA: The pipe diameter is not normally distributed with u = 2.00 and o = 0.10. O D. Ho: The pipe diameter is not normally distributed with u =2.00 and o = 0.10. HA: The pipe diameter is normally distributed with u = 2.00 and o = 0.10. Find the observed frequency of each class. Observed Class Frequency Under 1.9 3 1.9 to under 2.0 14 2.0 to under 2.1 8 2.1 and over The test statistic is x (Round to three decimal places as needed.)
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