A study has shown that there is a correlation between body weight and blood pressure. Higher body weights are associated with higher blood pressure levels. Canresearchers conclude that gaining weight is a cause of increased blood pressure?Choose the correct answer below.OA. Yes. Assuming the study was conducted properly, it is valid to conclude that gaining weight is a cause of increased blood pressure.OB. No. A second study must be conducted before this conclusion can be reached.OC. No. The researchers should instead conclude that high blood pressure is a cause of weight gain.OD. No. Correlation does not imply causality.Ď

The correlation shows a relationship between two variables.

Answered: A study has shown that there is a…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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In a previous practice assignment, you learned about a study in which volunteers (who were all around 30 years of age) from the Chicago area wore light sensors to measure their exposure to sunshine. It was found that those who experienced more daylight had lower body mass indexes (BMIs). The study was observational. It was not an experiment, so conclusions about cause and effect could not be made. Let's redesign the observational study described above into an experimental study.
Television networks rely heavily on ratings of TV shows when deciding whether to renew a show for another season. Suppose a network has decided that "Miniature Golf with the Stars" will only be renewed if it can be established that more than 12% of U.S. adults watch the show. A polling company asks a random sample of 2000 U.S. adults if they watch "Miniature Golf with the Stars." The network uses the data to perform a test of Ho: p = 0.12 H₁ : p > 0.12 where p is the true proportion of all U.S. adults who watch the show. Which of the following is not true regarding Type I and Type II errors in this setting? A Type I occurs if the television network finds convincing evidence that the true proportion of U.S. adults who watch "Miniature Golf with the Stars" is greater than 0.12, when it is really equal to 0.12. The probability of making a Type II error would be reduced if a smaller a level was chosen. A possible consequence of a Type I error here is the show will renew for another season…
Ride services are on the rise, such as Uber and Lyft. You wondered if the recent news reports of crime occurring with these ride services impacted the usage of them, especially with women. You decide to conduct a survey about ride service usage among male and female college students. The results showed that 19 males use ride services and 11 do not. While 12 females use ride services and 18 do not. Calculate the degrees of freedom:
Data was collected at a tennis court. It showed that being older implies that a player will stay for a shorter length of time. What is likely true? O There is no correlation between age and length of stay. O There is a correlation between age and length of stay. There may or may not be causation. Further studies would have to be done to determine this. O There is a correlation between age and length of stay. However, there is no causation. This is because there is a decrease in the length of stay with an increase in age.
Listed below are paired data consisting of amounts spent on advertising (in millions of dollars) and the profits (in millions of dollars). Determine if there is a significant negative linear correlation between advertising cost and profit. Use a significance level of 0.05 and round all values to 4 decimal places. Advertising Cost Profit 3. 25 15 18 6. 17 21 8. 29 9. 28 10 21 11 27 Ho: p = 0 Ha: p <0 Find the Linear Correlation Coefficient Find the p-value p-value The p-value is
Cindy, a financial analyst is studying the relationship between family decisions to borrow money to finance a child’s education and the child’s expected income after graduation. To aid the study, 440 randomly selected families were surveyed with the results provided below. At alpha =0.01, can you conclude that the decision to borrow money is related to a child’s expected income after graduation? Expected income More Likely Less Likely Did not make a difference Did not consider it Less than $20,000 37 10 22 25 $20,000-$45000 28 12 15 16 $45000-$70000 55 9 65 48 Greater than $70000 36 1 29 32 What is the degrees of freedom? What is the critical value? Leave your answers in 4 decimal places The degrees of freedom is and the P- value is .
information is also recorded on males/females in the community. Please use the information to answer the question below. Population Deaths 238 Deaths due to Jingle Jangle 143 Deaths due to Fizzle Rocks 45 Deaths due to Other Causes Males 251,480 40.0 per 100,000 56.86 per 100,000 22.94 per 100,000 79.8 per 100,000 50 Females 248,520 221 57 21 143 What is the cause-specific mortality rate pertaining to deaths from Jingle Jangle among the population living in Riverdale this year?
What is the difference between an observational study and an experiment? Choose the correct answer below. OA. In an experiment, a treatment is applied to part of a population and responses are observed. In an observational study, a researcher measures characteristics of interest of a part of a population but does not change existing conditions. OB. In an experiment, a treatment is applied to an entire population and responses are observed. In an observational study, a researcher measures. characteristics of interest of an entire population but does not change existing conditions. OC. In an experiment, a researcher measures characteristics of interest of a part of a population but does not change existing conditions. In an observational study, a treatment is applied to part of a population and responses are observed. OD. In an experiment, a researcher measures characteristics of interest of an entire population but does not change existing conditions. In an observational study, a…
Investigators are trying to determine if the contamination of a town well led to significant increases in adverse health effects. During the period of time when water was consumed from this contaminated well, there were 16 birth defects among 414 births. After this well was shut off, there were 3 birth defects among 228 births. You asked to determine if the rate of birth defects was higher when the contaminated well was in use. a. Test the claim that the contaminated well was not associated with a change in the rate of birth defects in the community at the alpha = 0.05 level, by using the two-proportion z test. Confirm your answers using Stata. b. Calculate a 95% confidence interval for the true difference between the proportions of birth defects when the contaminated well was in use versus when the well was shut down. c. Construct the 2x2 contingency table representing the data to Calculate the odds of a birth defect when the contaminated water was consumed and when the well was shut…
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!)
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