2. A research team created transgenic chickens which are resistant to avian flu infection, but they are worried that the chickens take longer to develop that normal. So they compared the mean weights of a sample of 30 transgenic chickens to a sample of 30 commercial chickens of the same breed two weeks after they hatched. The results are below: Transgenic Commercial X 41.4 g 47.8 g S 6.2 g 5.6 g If all relevant assumptions were met, run the appropriate test for this analysis. Given: critical value = 2.00 and SEpooled = 1.37g

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Genetic drugs are lower cost substitutes for brand-name drugs.  Before a genetic drug can be sold in the United States, it must be tested found to perform equivalently to the brand-name product.  The U.S. Food and Drug Administration is now supervising the testing of new genetic antifungal ointment.  The Brand-name ointment is known to deliver a mean of 3.5 micrograms of active ingredient to each square centimeter of skin. As part of the testing, seven subjects apply the ointment.  Six hours later, the amount of drugs that has been absorbed into the skin measured.  The amounts, in micrograms, are   2.6, 3.2, 2.1, 3.0, 3.1, 2.9, 3.7 How strong is the evidence that the mean amount absorbed differs from 3.5 micrograms?  Test by using a confidence interval with ?=0.05α=0.05. Show Step1-Step3. Round critical value to nearest hundredth.   (e.g.  0.1256 would be entered as 0.13)  Round confidence interval to nearest thousandth.   (e.g.  0.12456 would be entered as 0.125)

An analysis of variances produces dftotal = 29 and dfwithin = 27. For this analysis, how many treatment conditions are being compared?   a.  ​1   b.  ​2   c.  ​3   d.  ​Cannot be determined without additional information

It costs more to produce defective items—since they must be scrapped or reworked—than it does to produce non-defective items. This simple fact suggests that manufacturers should ensure the quality of their products by perfecting their production processes instead of depending on inspection of finished products (Deming, 1986). In order to better understand a particular metal stamping process, a manufacturer wishes to estimate the mean length of items produced by the process during the past 24 hours.   a. How many parts should be sampled in order to estimate the population mean to within .2 millimeter (mm) with 95% confidence? Previous studies of this machine have indicated that the standard deviation of lengths produced by the stamping operation is about 2 mm.  b. Time permits the use of a sample size no larger than 225. If a 95% confidence interval for m is constructed with n = 225, will it be wider or narrower than would have been obtained using the sample size determined in part a?…

Vineyard Pines sells clothing online. In 2020, the mean value of orders placed with the company was $34.50. The President of the company made increasing the amount of the average order a priority for 2021. The company has just received the sales data for 2021. You just received the EXCEL file with details of the 400 orders in in the first quarter of 2021. You began by calculating the univariate statistics. Here are your findings:Total sales revenue:$14,000Number of orders in 2021:400Average order: $35.00Standard deviation of the individual orders: $5.20               Required: Determine the P-Value associated with the change in the average order total in 2021. Note that the company’s strategies for growth could have led to a reduction so we cannot assume a one-directional hypothesis. Given the number of data points (orders), you can assume a normal distribution and therefore assume a z-distribution for the data.

Consider the following measurements of blood hemoglobin concentrations (in g/dL) from three human populations at different geographic locations: population1 = [ 14.7 , 15.22, 15.28, 16.58, 15.10 ] population2 = [ 15.66, 15.91, 14.41, 14.73, 15.09] population3 = [ 17.12, 16.42, 16.43, 17.33] If you run ANOVA on the data for the three populations, what is the range of the P-value?     Greater than 0.05     between 0.05 and 0.025     between 0.025 and 0.01     less than 0.01

HYPERTENSION. The data below was collected from over 200 infants at 1 month of age. In this study a research nurse visited the home of each child and took their blood pressure using a special apparatus for measuring infant bp. She also noted whether the infant was asleep or awake and whether or not the child was agitated when the bp was taken.   Assuming equal variances, is there a significant mean difference in SBP between the quiet sleep infants and the awake and quiet infants?   1. What is the appropriate test to conduct in the above situation? 2. What is the degree of freedom? 3. What is the computed test statistic? 4. What is the correct conclusion for this test? 5. What can be implied from the conclusion above?