I am completely lost. Can you provide some guidance on any of the below?

Data Frames: Diameters data frame diameter: 3 2.76 1 2.63 2 2.85 3 2.75 4 3.39 5 1.72 E 2.12 7 2.02 3 2.59 9 1.56 10 2.93 11 1.77 12 2.74 13 2.20 14 2.04 15 2.73 16 3.15 17 2.64 18 1.79 19 1.60 20 2.09 21 2.43 22 2.24 23 2.37 24 2.74 25 2.47 26 3.22 27 1.80 28 2.44 29 2.76 30 1.69 31 1.84 32 2.29 33 2.24 34 2.37 35 2.45 36 3.22 37 2.21 38 1.05 39 2.33 40 2.73 41 3.39 42 1.63 43 2.39 44 1.83 45 2.C7 46 2.27 47 1.64 48 2.93 49 1.96 90% confidence interval [unroundeo] = (2.2290912846323327, 2.6617387153676676} 90% confidence interval (rounded) = 2.23 , 2.46) 99% confidence interval [untounded] 2 (2.1632613632231554, 2.527538636771845] 99% confidence interval [rounded] = i 2.16 , 2.53 } - It has been claimed from previous studies that the average diameter of ball bearings from this manufacturing process is 2.30 cm. Based on the sample of 50 that you collected, is there evidence to suggest that the average diameter is greater than 2.30 cm? Perform a hypothesis test for the population mean at alpha : 0.01. - Define the null and alternative hypothesis forthis test in mathematical terms and in words. - Report the level ofsignicance. - Include the test statistic and the P-value. See Step 3 in the Python script. (Note that Python methods return two tailed Pvalues. You must report the correct Pvalue based on the alternative hypothesis.} z-test hypothesis :est for populacion mean tescestacistic = 0.61 two tai1ed p-value = 0.5438 - Provide your conclusion and interpretation ofthe results. Should the null hypothesis be rejected?th or why not