A sample of 150 new cell phones produced by Yeskia found that 12 had cosmetic flaws. A 90% confidence interval for the proportion of all new Yeskia phones with cosmetic flaws is 0.044 to 0.116. Which statement below provides the correct interpretation of this confidence interval? a. There is a 90% chance that the proportion of new phones that have cosmetic flaws is between 0.044 and 0.116. b. There is at least a 4.4% chance that a new phone will have a cosmetic flaw. c. A sample of 150 phones will have no more than 11.6% with cosmetic flaws. d. If you selected a very large number of samples and constructed a confidence interval for each, 90% of these intervals would include the proportion of all new phones with cosmetic flaws. e. none of the above If population A has a larger standard deviation than population B, which of the following is NOT true? a. Population B has a smaller variance than population A. b. The mean of a sample of 20 from population A has a larger standard deviation than the mean of a sample of 20 from population B. c. A typical observation from population A will be farther from the mean of population A than a typical observation from B will be from the mean of population B. d. The mean of a sample from population A will on average be larger than the mean of a sample from population B. e. none of the above

Assignment Steps Resources: Microsoft Excel®, Assignment Databases, Assignment Options, Part 3: Inferential Statistics (All are attached with this message including the grading guide to help you better that you are covering all the questions asked for this assignment). Scenario: Upon successful completion of the MBA program, say you work in the analytics department for a consulting company. Your assignment is to analyze only one of the following databases:ManufacturingHospitalConsumer FoodFinancial Select one of the databases based on the information in the Signature Assignment Options. Provide a minimum 1,600-word (no more than 1,750) detailed, statistical report including the following:Explain the context of the caseProvide a research foundation for the topicPresent graphsExplain outliersPrepare calculationsConduct hypotheses testsDiscuss inferences you have made from the results This assignment is broken down into four parts:Part 1 - Preliminary AnalysisPart 2 - Examination of Descriptive StatisticsPart 3 - Examination of Inferential StatisticsPart 4 - Conclusion/Recommendations Part 1 - Preliminary Analysis (3-4 paragraphs)Generally, as a statistics consultant, you will be given a problem and data. At times, you may have to gather additional data. For this assignment, assume all the data is already gathered for you.State the objective:What are the questions you are trying to address?Describe the population in the study clearly and in sufficient detail:What is the sample?Discuss the types of data and variables:Are the data quantitative or qualitative?What are levels of measurement for the data? Part 2 - Descriptive Statistics (3-4 paragraphs) Examine the given data.Present the descriptive statistics (mean, median, mode, range, standard deviation, variance, CV, and five-number summary).Identify any outliers in the data.Present any graphs or charts you think are appropriate for the data.Note: Ideally, we want to assess the conditions of normality too. However, for the purpose of this exercise, assume data is drawn from normal populations. Part 3 - Inferential Statistics (2-3 paragraphs)Use the Part 3: Inferential Statistics document.Create (formulate) hypothesesRun formal hypothesis testsMake decisions. Your decisions should be stated in non-technical terms.Hint: A final conclusion saying "reject the null hypothesis" by itself without explanation is basically worthless to those who hired you. Similarly, stating the conclusion is false or rejected is not sufficient. Part 4 - Conclusion and Recommendations (1-2 paragraphs)Include the following:What are your conclusions?What do you infer from the statistical analysis?State the interpretations in non-technical terms. What information might lead to a different conclusion?Are there any variables missing?What additional information would be valuable to help draw a more certain conclusion?Format your assignment consistent with APA format.Include graphs, plots, histogram without gap Submit 2 separate files:1. Word document showing all the answers, graphs, tables, plots, ect...2. Excle file showing all the calculations, tables, graphs, plots, ect...References: Minimum 2 peer reviewed references and include in text citations in your paper as well. NOTE: Read all the following attached files first before you start working on this assignment.

Please help with revising my final paper, here are the points i need help revising: There are multiple areas that need to be addressed. The first area is that you need to identify what type of variables were used for the analysis (nominal, ordinal, interval) and explain why so you might say "Gender was used in the analysis and was considered a nominal variable due to being placed in a categorical format". The next thing is that I think you were discussing the assumptions of the study. The paper wants you to discuss the assumptions of an ANOVA and if those assumptions were met by the study. Here are the basic assumptions of an anova. Independence of cases – this is an assumption of the model that simplifies the statistical analysis. Normality – the distributions of the residuals are normal. Equality (or "homogeneity") of variances, called homoscedasticity... The third thing is clearly discussing the research question an null and alternative hypothesis to where it is clearly seen. Example: Does the gender of an individual influence their gpa scores? Null: Gender does not influence gpa scores. Alternative: Gender does influence GPA scores. The fourth thing is clearly discussing the strengths and limitations of the study. Most studies have this clearly laid out in the article under a section titled "Limitations". You should be able to look in the final part of the particle and identify this. The last thing is that your instructor referred to the use of citations and making sure the information you cite matches your article information and when putting a quotation in the paper, that you cite the page number as well as the author and year. (Johnson, 2015, p. 18)