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.

0 Data Table Diameter Diameter Pipe Section {inches} Pipe Section [inches] 1 2.03 18 1.98 2 2.14 1? 1.88 3 2.0? 18 1.99 4 1.99 19 2.14 5 1.91 29 1.91 8 2.0? 21 1.91 i' 2.19 22 1.98 8 2.02 23 2.18 9 2.05 24 1.94 10 1.99 25 1.93 11 1.94 28 2.08 12 1.91 2? 1.82 13 2.09 28 1.94 14 2.03 29 1.98 15 2.11 39 1.81 Print Done Full data set 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. Click the icon to view the data table. OB. Ho: H # 2.00 HA: H = 2.00 C. Ho: The pipe diameter is normally distributed with p = 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 5 The test statistic is x2 = (Round to three decimal places as needed.)