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- Population Sampling (Quadrat) is usually more effective when the population has an even dispersionClumped dispersion patterns are the least effective. Explain why this would be the case.Question content area Part 1 Aspen Plastics produces plastic bottles to customer order. The quality inspector randomly selects four bottles from the bottle machine and measures the outside diameter of the bottle neck, a critical quality dimension that determines whether the bottle cap will fit properly. The dimensions (in.) from the last six samples are Bottle Sample 1 2 3 4 1 0.576 0.593 0.618 0.580 2 0.580 0.583 0.602 0.586 3 0.571 0.599 0.612 0.578 4 0.570 0.601 0.603 0.594 5 0.596 0.618 0.589 0.571 6 0.610 0.609 0.578 0.605 LOADING... Click the icon to view the table of factors for calculating three-sigma limits for the x-chart and R-chart. Part 2 Suppose that the specification for the bottle neck diameter is 0.600±0.050 in. and the population standard deviation is 0.014 in. a. What is the process capability index? The Cpk is enter your response here. (Enter…Question Two A Deputy Registrar at a certainty university conducted a Chi-Square test of association to establish whether or not employee grade and level of absenteeism were associated. Table 2 below shows part of the results which were obtained. Table 2: Cross tabulation of employee grade and level of absenteeism Contingency Tables Grade LAbsence 1 2 3 Total low Observed 8 1 0 9 Expected 2.90 3.48 2.61 9.00 high Observed 2 11 9 22 Expected 7.10 8.52 6.39 22.00 Total Observed 10 12 9 31 Expected 10.00 12.00 9.00 31.00 2.1 State the appropriate measurement scales for the variables. 2.2 State the null and alternative hypotheses. 2.3 Calculate the expected frequency corresponding to a Grade 3 academic with a high level of absenteeism. 2.4 Find the Chi-Square critical value and test…
- PART D,E,F A researcher wants to compare three different exercise programs. For each program, five volunteers follow it for a month and their weight losses are recorded below. Use a 0.01 significance level to test the claim that the three different exercise programs produce the same mean weight loss Program A: 2.5 8.8 7.3 9.8 5.1 Program B: 5.8 4.9 1.1 7.8 1.2 Program C: 4.3 6.2 5.8 8.1 7.9 a. Define the parameter(s) A. mu 1 equals The mean weight loss by the 5 people on program A mu 2 equals The mean weight loss by the 5 people on program B mu 3 equals The mean weight loss by the 5 people on program C B. mu 1 equals The mean weight loss by all people on program A mu 2 equals The mean weight loss by all people on program B mu 3 equals The mean weight loss by all people on program C C. mu equals The mean weight loss for all people D. p 1 equals The mean…Details: A semiconductor manufacturing process creates an average of 0.4 defects per integrated circuit (chip), with the defects occurring independently of each other.Site image for background. Conduct a test of the null hypothesis H0: u1=u2=u3=u4=u5 by stating (i) a test statistic value, (ii) an associate p-value, (iii) a decision at the a = 0.05 level, and (iv) a conclusion formulated in terms of Ha here for feed rate groups.
- You receive a brochure from a large university. The brochure indicates that the mean class size for full-time faculty is fewer than 3232 students. You want to test this claim. You randomly select 1818 classes taught by full-time faculty and determine the class size of each. The results are shown in the table below. At alphaαequals=0.010.01, can you support the university's claim? Complete parts (a) through (d) below. Assume the population is normally distributed. 3838 3131 2626 3535 3232 4040 2525 2323 2828 2727 3333 3838 3434 2828 2626 3333 2828 2727 (a) Write the claim mathematically and identify Upper H 0H0 and Upper H Subscript aHa. Which of the following correctly states Upper H 0H0 and Upper H Subscript aHa? A. Upper H 0H0: muμequals=3232 Upper H Subscript aHa: muμnot equals≠3232 B. Upper H 0H0: muμless than<3232 Upper H Subscript aHa: muμgreater than or equals≥3232…Nonparametric Tests of Significance – Chi Square (X2) An environmental sociologist is interested in the public’s concern for endangered species. Using the following hypothetical data, test the hypothesis that there is a significant difference between the groups in terms of support for increased protection of marine environments that are home to endangered species. Democrat Republican Independent 23 11 31Part A: S-adenosyl methionine (SAM-e) is a naturally occurring compound in human cells that is thought to have an effect on depression symptoms. Suppose that a researcher is interested in testing SAM-e on patients who are struggling with HIV. She obtains a sample of n = 25 patients and asks each person to take the suggested dosage each day for 4 weeks. At the end of the 4-week period, each individual takes the Beck Depression Inventory (BDI), which is a 21-item, multiple-choice self-report inventory for measuring the severity of depression. The scores from the sample produced a mean of M = 20.8 with a standard deviation of s = 5.18. In the general population of HIV patients, the standardized test is known to have a population mean of μ = 23.2. Because there are no previous studies using SAM-e with this population, the researcher doesn’t know how it will affect these patients; therefore, she uses a two-tailed single-sample t test to test the hypothesis. From the following, select…
- Show supporting work for each section identify the claim & state H0 & Ha select correct choice & fill blanks find critical value(s) z0= identify the rejection region sketch label graph & using greater than or lesser than symbols find standardized test statistic z=decide whether to reject or fail to reject null hypothesis interpret theWhich of the following is NOT considered the assumption about the pattern of heteroscedasticity Select one: The error variance is proportional to the square of the mean value of Y The error variance is proportional to XY The error variance is proportional to X The error variance is proportional to Y Which one of the following is NOT a plausible remedy for near multicollinearity? Select one: Drop one of the collinear variables Use a longer run of data use principle components analysis Take logarithems of each of the variables A sure way of removing multicollinearity from the model is to Select one: Transform the variables by first differencing them Obtaining additional sample data Work with panel data Drop variables that cause multicollinearity in the first place The p value is Select one: the power 2 plus power 2 minimum power none of these The confidence interval constructed for B2 will be same irrespective of the sample analysed. This statement is Select one:…Murder was committed in an air-conditioned laboratory. Dr. Quincy, the medical examiner, was summoned to the scene of the crime. One of the first things he did was to take the temperature of the corpse. At 9:23 PM, he recorded the temperature to be 20.1oC and at 9:53 Pm to be 18.7oC. He further observed that the thermostat of the air-conditioning unit was set at 16oC. After gathering all pertinent data and analyzing them for sometime, he submitted a preliminary report stating that the victim was murdered between 7 PM and 8 PM. Was Dr. Quincy's report correct? At what approximate time did the victim die? Assume that the normal body temperature of a human being, alive and well, is 37oC.