ist 3 unbiased estimators of the
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- Q2) Independent-Samples t-Test (Round calculated results to the hundredth (2nd place to the right of the decimal)) In a research project, researchers collected demographic and health data from a sample of elderly residents in the community. To examine any possible gender differences in their sample, they want to see if the females and the males differ significantly on the education level (number of years of formal schooling). The researchers are not predicting any direction in the possible gender differences so the hypotheses should be non-directional. They would like to run a two-tailed test with α = .10. Male Subject ID Education Female Subject ID Education 1 14 13 14 2 15 14 15 3 17 15 18 4 13 16 18 5 15 17 16 6 15 18 17 7 13 19 16 8 15 20 16 9 15 21 17 10 16 22 15 11 17…I am really not sure if that answer id true or falseIn which cases and how to use the CARTRIDGE, DECIL AND CENTIL CALCULATIONS USED IN STATISTICS. Explain all series with one example
- When two variables are correlated, can the researcher be sure that one variable causes the other? If YES , why? If NO , why? Provide and give examples where necessary Graphs illustrating the problems and solutions are recommendedAlready did the questions that I understood but I need help with question b and question C. Thanks so much!Can you help me with the code for this in R please? 2. The article ["CSI Effect Has Juries Wanting More Evidence" (USA Today, 2004)](https://usatoday30.usatoday.com/news/nation/2004-08-05-csi-effect_x.htm) examines how the popularity of crime-scene investigation television shows in influencing jurors' expectation of what evidence should be produced at a trial. In a survey of 500 potential jurors, one study found that 350 were regular watchers of at least one crime-scene forensics television series. i) Assuming that it is reasonable to regard this sample of 500 potential jurors as representative of potential jurors in the US, use the given information to construct and interpret a 95\% confidence interval for the proportion of all potential jurors who regularly watch at least one crime-scene investigation series. ii) Using the same sample proportion as part (i), construct a 95\% confidence interval for same proportion but instead use a sample size of 50. iii)…
- The accompanying summary quantities resulted from a study in which x was the number of photocopy machines serviced during a routine service call and y was the total service time (min). n = 17 (y - y)² = 22,218.08(y-y)² = 2615.58 (a) What proportion of observed variation in total service time can be explained by a linear probabilistic relationship between total service time and the number of machines serviced? (Give the answer to three decimal places.) (b) Calculate the value of the estimated standard deviation se. (Give the answer to three decimal places.) What is the number of degrees of freedom associated with this estimate?A researcher designs an experiment using two drugs, she prepares 15 independent flasks of yeast growth medium and yeast cells. She adds tunicamycin (T) or caffeine (C) to 5 flasks each. Remaining 5 flasks get no drugs (ND). Doubling time of the yeast cells are measured in each flask, data is in the table. Test if mean doubling time is different in Caffeine (C ) when compared to no drug (ND) using an ANOVA method, report an approximate p-value for the level of significance.You believe that adults become more creative as they get older, based off a moderately positive correlation between age and creativity found on among a university freshman sample - what is the most striking problem with trying to measure correlation with this description? (outliers, restriction of range, nonlinear relation, inferring causation)
- Answer each question plz also write a sentence for null and research/alternative hypothesisAn "extraneous variable" is not a problem unless it with the independent variable O is identical systematically co-varies is not correlated Wait! An "extraneous variable" is by definition never a problem, that's what "extraneous" means.True or False: A correlation that is calculated to correct for unreliability or restriction of range can be above 1.0 or lower than -1.0.