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 the following parts below.

(Use Chi-square Goodness-of-Fit Test)

Diameter Diameter Pipe Section (inches) Pipe Section (inches) 2.04 16 1.96 2.13 17 1.88 2.07 18 1.99 1.98 19 2.12 1.91 20 1.91 2.06 21 1.91 2.19 22 1.95 2.01 23 2.19 2.06 24 1.95 1.98 25 1.92 1.94 26 2.08 12 1.91 27 1.82 13 2.11 28 1.94 14 2.02 29 1.95 15 2.11 30 1.81A 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. Click the icon to view the data table. O A. Ho: H= 2.00 HA: H # 2.00 O B. Ho: H # 2.00 HA: H = 2.00 O C. 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. D. 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. Find the observed frequency of each class. Observed Class Frequency Under 1.9 1.9 to under 2.0 2.0 to under 2.1 2.1 and over