Show which of the estimators possess this property
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A: Feel free to ask further question.
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- Suppose that a study was conducted to determine if there is a significant difference in the average temperature of individuals before and after COVID-19 boosters were given. The temperatures of a sample of individuals were obtained before the boosters were given. The following day, their temperatures were again measured. The table below shows the data in degrees Celsius. (10 points) Temperature before Temperature after one day. Determine If there is a significant difference in the average temperature of Individuals who were given boosters at 5% level of significance. Assume that the differences in the temperatures follow the normal distribution.based on these findings, at least two hypotheses that you are testing in this project. Your hypotheses can have the same dependent variable, but they should have different independent variables. (Happiness and physical healthA random sample of n = 25 students in Gwinnett County schools were chosen to participate in a study about remote / digital study. Of the 25 students, 20 reported the Google Classroom provides the best access to digital content. %3D Which statement best describes the population and true parameter of this scenario? O The population is all students in Gwinnett County school; the parameter is the proportion of students that believe Google Classroom provides the best access to digital content The population is all students who participated in the remote / digital learning in Gwinnett County; the parameter is reported proportion of students that believe Google Classroom provides the best access to digital content The population is all students who participated in the remote / digital learning3B the parameter is the true proportion of students that believe Google Classroom provides the best access to digital content O The population is the 25 students who participated in the remote / digital…
- A production superintendent claims that there is no difference between the employee accident rates for the day versus the evening shifts in a large manufacturing plant. The number of accidents per day is recorded for both the day and evening shifts for n = 100 days. It is found that the number of accidents per day for the evening shift XE exceeded the corresponding number of accidents on the day shift xp on 63 of the 100 days. Do these results provide sufficient evidence to indicate that more accidents tend to occur on one shift than on the other or, equivalently, that P(XE > XD) # 1/2?(1 point) According to a recent marketing campaign, 100 drinkers of either Diet Coke or Diet Pepsi participated in a blind taste test to see which of the drinks was their favorite. In one Pepsi television commercial, an anouncer states that "in recent blind taste tests, more than one half of the surveyed preferred Diet Pepsi over Diet Coke." Suppose that out of those 100, 42 preferred Diet Pepsi. Test the hypothesis, using a = 0.05 that more than half of all participants will select Diet Pepsi in a blind taste test by giving the following: (a) the test statistic (b) the critical z scoreWhat values of F indicate that the null hypothesis is true?
- You are interested in understanding the impact of Student Teacher Ratios (STR) on Test Scores (i.e., STR is your variable of interest and Test Scores are your outcome variable). Let’s pretend you have 2 models and you must only pick 1. The models along with mock results are in the table below. The coefficients are presented with standard errors in parenthesis. Further assume that the STR coefficient in Model 1 is less biased than the STR coefficient in Model 2. But as you can see, the STR coefficient in Model 2 is more precisely estimated (it’s statistically significant) than the coefficient in Model 1. Which model (Model 1 or Model 2) do you prefer and why. X1 and X2 are different control variables. You do not need to know what they are in order to answer this question – you only need to know that they are different. Y = Test Scores Model 1 Model 2 STR -1.4 (0.9) -3.7** (0.9) X1 5.6** (2.2) X2 4.6** (2.1) Constant 680*** (45)…A production supervisor at a major chemical company wishes to determine whether a new catalyst, catalyst XA-100, increases the mean hourly yield of a chemical process beyond the current mean hourly yield, which is known to be roughly equal to, but no more than, 750 pounds per hour. To test the new catalyst, five trial runs using catalyst XA-100 are made. Assuming that all factors affecting yields of the process have been held as constant as possible during the test runs, it is reasonable to regard the five yields obtained using the new catalyst as a random sample from the population of all possible yields that would be obtained by using the new catalyst. Furthermore, we will assume that this population is approximately normally distributed. Regard the sample of 5 trial runs for which s = 19.00 as a preliminary sample. Determine the number of trial runs of the chemical process needed to make us: (Round up your answers to the next whole number.) (a) 95 percent confident that x¯ , the…A company manufacturing CDs is working on a new technology. A random sample of 717 Internet users were asked "As you may know, some CDs are being manufactured so that you can only make one copy of the CD after you purchase it. Would you buy a CD with this technology, or would you refuse to buy it even ifit was one you would normaly buy?" Of hose usert, 56% responded that they would buy the CD. Complete parts a and b below a) Create a 90% confidence interval for this percentage 口口 (Round to three decimal places as needed, Use ascending order.)
- SHOW STEP BY STEP. plsHow would a T test give us information about if men or women could jump higher in a vertical leap test?Foofy obtained a significant Fobt from an experiment with five levels. She therefore concludes that changing every condition of the independent variable results in a significant change in the dependent variable. (a) Is she correct? Why or why not? (b) What must she now do?