1. Construct a top-down flow chart or a logic flow chart by selecting one of the following options (a). For the students who have taken TECH 1008 class, you may want to construct a top-down flow chart of making a harbor bell, starting from preparing the bell sides until a totally completed bell. Also identify which step(s) could be critical for quality control (b). Assume that students are familiar with airline check-in process. Construct a logical flow chart for the process of taking an airline flight from the time you arrive at the airport till the time you sit down in your seat on the airplane. (c). Assume that students are familiar with grocery shopping. Construct a logical flow chart for the process of going to the grocery store to do the week’s food shopping. The shopping trip should begin with making a shopping list and end when all the food is put away at home. 2. (a)Below are hypothetical data on the frequency of complaints from grocery shoppers at the local Value Mart. Construct a Pareto chart from this information using Microsoft Excel, including the columns of frequency, frequency percentage, and cumulative frequency percentage. Be sure to use correct labels, column and line on the Pareto chart. Complaint Frequency No parking 26 No carts 13 Items not in stock 47 produce not fresh 68 price scan incorrectly 15 store too cold 22 check out lines too long 124 other 10 (b). Summarize your finding from the Pareto chart. If you were the manager/owner of this grocery store, what strategies you may want to implement for improving the quality of this store. 3. Look into books or on internet for an example of cause-and-effect diagram (with good resolution so that I can see). Be sure to include a full reference to where you found the chart.

Recently, the factory began a new production line that is more efficient than the existing production line. However, the factory still needs ball bearings to meet the same specifications. To compare the accuracy of the new process against the existing process, the factory decides to take two random samples of ball bearings. The first sample is of 50 randomly selected ball bearings from the existing production line, and the second sample is of 50 randomly selected ball bearings produced from the new production line. For each sample, the diameters of the ball bearings were measured.The two samples will be generated using Python’s numpy module. These data sets will be unique to you, and therefore your answers will be unique as well. Run Step 1 in the Python script to generate your unique sample data.Suppose that the factory claims that the proportion of ball bearings with diameter values less than 2.20 cm in the existing manufacturing process is the same as the proportion in the new process. At alpha=0.05, is there enough evidence that the two proportions are the same? Perform a hypothesis test for the difference between two population proportions to test this claim.In your initial post, address the following items:Define the null and alternative hypotheses in mathematical terms as well as in words.Identify the level of significance.Include the test statistic and the P-value. See Step 2 in the Python script. (Note that Python methods return two tailed P-values. You must report the correct P-value based on the alternative hypothesis.)Provide a conclusion and interpretation of the test: Should the null hypothesis be rejected? Why or why not? My dataDiameters data frame of the first sample (showing only the first five observations) diameters 0 2.52 1 3.30 2 2.97 3 2.09 4 1.83 Diameters data frame of the second sample (showing only the first five observations) diameters 0 2.18 1 3.61 2 3.11 3 2.55 4 1.65test-statistic = 0.86 two tailed p-value = 0.3912