SEE THE ATTACHED IMAGE AND ANSWER THE BELOW QUESTION: If you were to calculate a Rate Difference for the relationship of body mass index and ER-positive breast cancers and test for statistical significance, what is your Null Hypothesis? Table 2. Relative risks (RRS) and 95% confidence intervals (CIs) for second cancers after invasive breast cancer associated with body mass index(per 5 kg/m²), Kaiser Permanente Breast Cancer Survivors Cohort (1990-2017)OutcomeAll cancersObesity-related cancersBreast cancersER-positive breast cancersNo. of cancers822508333231Person-years47 69147 69147 69147 691UnadjustedRR (95% CI)1.05 (1.00 to 1.11)1.09 (1.02 to 1.17)1.09 (1.00 to 1.19)1.12 (1.01 to 1.24)pb.06.01.046.03AdjustedaRR (95% CI)1.07 (1.01 to 1.14)1.13 (1.05 to 1.21)1.11 (1.02 to 1.21)1.15 (1.04 to 1.27)pb.01<.001.01.008Adjusted for study site, race and ethnicity, age, comorbidity index, receipt of radiation, receipt of chemotherapy, receipt of hormonal therapy, ER and PR status, stage,and year of initial breast cancer diagnosis.bP values reflect 2-sided x² tests.

The null hypothesis is depicted as the hypothesis that considers no difference between the…

Answered: If you were to calculate a Rate…

If you were to calculate a Rate Difference for the relationship of body mass index and ER-positive breast cancers and test for statistical significance, what is your Null Hypothesis?

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Use the table to answer the questions. Compute the prevalence of true diabetes in this population. Compute the sensitivity of the test. Explain in words what your sensitivity answer means. (Do not just write the definition; include your result!) Compute the specificity of the test. Explain in words what your specificity answer means. (Do not just write the definition; include your result!) Compute the positive predictive value of the test. Explain in words what your positive predictive value answer means. (Do not just write the definition; include your result!)
When trying to determine how many samples are needed to perform an experiment, the desired accuracy of the results are often a determining factor. Dr. Smith has designed a new scanner capable of determining blood bilirubin levels using a cell phone. Because this is a diagnostic device, Dr. Smith is concerned not just about having small standard errors, but also having good estimates for population percentiles. If he needs to determine the 95th percentile to an accuracy of 5%, what is the number of samples needed to ensure that the percentile as determined from his data (using a t distribution) is within 5% of the percentile as calculated as if the standard deviation was taken from the entire population (using a z distribution)?
The average income of a large sample of households is $63,000 and the s.d. is $7,000. Assume that the data is approximately bell-shaped. What percent of these households have incomes between $42,000 and $77,000? Don’t forget to properly justify your answer using the empirical rule.
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)
The recidivism rate for convicted sex offenders is 12%. A warden suspects that this percent is different if the sex offender is also a drug addict. Of the 322 convicted sex offenders who were also drug addicts, 48 of them became repeat offenders. What can be concluded at the a = 0.01 level of significance? a. For this study, we should use z-test for a population proportion V b. The null and alternative hypotheses would be: Ho: ? v Select an answer (please enter a decimal) H1: ? v Select an answer v (Please enter a decimal) c. The test statistic ? v = (please show your answer to 3 decimal places.) d. The p-value = (Please show your answer to 4 decimal places.) e. The p-value is ? V a f. Based on this, we should Select an answer v the null hypothesis. g. Thus, the final conclusion is that ... O The data suggest the population proportion is not significantly different from 12% at a = 0.01, so there is statistically insignificant evidence to conclude that the population proportion of…
why the correct answer is letter E?
Suppose the National Transportation Safety Board wants to examine the safety of compact cars, midsize cars, and full-size cars. It collects a sample of three for each of the treatments (cars types). Test the claim that the mean pressure applied to the driver's head during a crash is equal for all three types of cars. Use a = 0.05 Compact Cars 643 Midsize Cars 469 Full-size Cars 484 655 m 427 456 20 Apple 702 525 A 402 Show your 6 steps labeled in order in the box below using the p-value method.
A statistician changes her level of significance from .001 to .05. What impact will this change have on her risk of making a Type I and Type II error? Is the change in the level of significance a good decision? Why or why not?