1. when distributions are skewed a researcher will eliminate some of the data to allow for a more normal distribution. However, there are many problems with doing this, the most obvious being that you are no longer analyze the population you started out with. What are some other problems you can see with doing this? Is there ever an appropriate time to delete some data causing a skewed distribution? 2. How will you use measures of central tendency in your dissertation research or professional practice? 

Companies often develop and test hypotheses about their products. For example, car manufacturers will test their cars to determine fuel efficiency and miles per gallon. To ensure that products are safe and that they perform as advertised, regulatory and consumer protection groups also test companies’ claims.For this Assignment, you are working at a firm that conducts independent testing for heavy industry. Recently, an automobile manufacturer has been in the news for complaints about the highway gas mileage of their latest model minivan. You receive a contract from a consumer action group to test and write a report on the company’s claim that its minivans get 28 miles per gallon on the highway. The car company agrees to allow you to select randomly 35 low-mileage fleet minivans to test their highway mileage. Your test results gave you the following data: 29.7 24.5 27.1 29.8 29.2 27.0 27.8 24.1 29.3 25.9 26.2 24.5 32.8 26.8 27.8 24.0 23.6 29.2 26.5 27.7 27.1 23.7 24.1 27.2 25.9 26.7 27.8 27.3 27.6 22.8 25.3 26.6 26.4 27.1 26.1Submit Part 2 of your report (including the Conclusion) according to the following prompts.Part 2: Hypothesis Testing: Two-Tail Test and One-Tail Test Complete the following and include your results and responses in your report (use alpha = 0.05):List the null and alternative hypotheses for the two-tail test for the mean. Calculate the observed value of the test statistic and the associated p-value. (75–150 words, or 1–2 paragraphs) Is the observed test statistic in the critical region? Is the p-value higher or lower than your alpha? (75–150 words, or 1–2 paragraphs) Note: Include your calculations. If your calculations are submitted separately, make note of where they can be found.List the null and alternative hypotheses for the one-tail test of the mean. Calculate the observed value of the test statistic and the associated p-value. (75–150 words, or 1–2 paragraphs)Is the observed test statistic in the critical region? Will the p-value be higher or lower than your alpha? (75–150 words, or 1–2 paragraphs)Note: Include your calculations. If your calculations are submitted separately, make note of where they can be found.ConclusionsIn your report, use the confidence interval information and the results of the hypothesis testing to provide support for your conclusions and recommendations to the company. Specifically: What conclusions did you reach? What did you learn about the situation by using each method? Did one method offer more conclusive proof than another? (150–225 words, or 2–3 paragraphs)Based on your results, do you support the company’s claim that their minivans get 28 miles per gallon? (75 words, or 1 paragraph)Summarize the details of your test methods and the results from each statistical method you used. Explain the findings so that executives from both the agency and the company can understand your conclusion. (150–225 words, or 2–3 paragraphs)Finally, present recommendations for actions that the company might take to use your findings to better serve their customers in the future. (75 words, or 1 paragraph)Note: If applicable, include any files that show your calculations. Make sure that the file naming matches what you have referenced in the report.Note: For each prompt, be sure to reference at least one scholarly source to support your answer.Part 1 is att

Determining Normality - Download the data set “Body Data” in your preferred technology format (StatCrunch, Statdisk, Excel).  Select 3 columns of your choice from the list below.  For each of the 3 columns you selected, determine whether the data is normally distributed in two ways:  1. Create a Histogram of the data and determine if it is approximately bell-shaped, and 2. Create a Normal Quantile Plot and determine if the pattern of points is reasonably close to a straight line.  After examining these two graphs together, decide whether the data is normally distributed and explain your findings.  Paste your graphs using the Insert/Edit Image button (no attachments!) Body Data_Excel(1).xlsx  Pulse (pulse rate in beats per minute) HDL (HDL cholesterol, mg/dL) LDL (LDL cholesterol, mg/dL) White (white blood cell count, 1000 cells/µL) Red (red blood cell count, million cells/µL) Weight (weight, kg) Height (height, cm) Waist (waist circumference, cm) Arm Circ (arm circumference, cm) BMI (body mass index, kg/m2)