2. A study was conducted in a small town in the fall. The data compared the number of residents diagnosed with the flu and sales of ice cream at local groceries. Units of Ice Cream Sold Flu Diagnoses Week 1 503 3 Week 2 465 11 Week 3 352 31 Week 4 240 45 Week 5 102 58 Week 6 65 87 Based on the given data, is it correct to conclude that a way to avoid the flu in the fall is to eat more ice cream? A. Yes. Ice cream consumption is negatively correlated with flu incidence, so the data shows that ice cream consumption helps prevent the flu. B. No. Although there is a strong correlation between ice cream consumption and flu incidence, this is not evidence that ice cream consumption helps prevent the flu because it is a causal claim. No. There is only a weak correlation between ice cream consumption and flu incidence, so the data shows eating ice cream is only a marginally effective way of avoiding the flu. Yes. Since there are no other possible explanations for the correlation that can be controlled for, the correlation between ice cream consumption and flu incidence is sufficient evidence for the claim.

2. A study was conducted in a small town in the fall. The data compared the number of residents diagnosed with the flu and sales of ice cream at local groceries. Units of Ice Cream Sold Flu Diagnoses Week 1 503 3 Week 2 465 11 Week 3 352 31 Week 4 240 45 Week 5 102 58 Week 6 65 87 Based on the given data, is it correct to conclude that a way to avoid the flu in the fall is to eat more ice cream? A. Yes. Ice cream consumption is negatively correlated with flu incidence, so the data shows that ice cream consumption helps prevent the flu. B. No. Although there is a strong correlation between ice cream consumption and flu incidence, this is not evidence that ice cream consumption helps prevent the flu because it is a causal claim. No. There is only a weak correlation between ice cream consumption and flu incidence, so the data shows eating ice cream is only a marginally effective way of avoiding the flu. Yes. Since there are no other possible explanations for the correlation that can be controlled for, the correlation between ice cream consumption and flu incidence is sufficient evidence for the claim.

Algebra and Trigonometry (6th Edition)

6th Edition

ISBN:9780134463216

Author:Robert F. Blitzer

Publisher:Robert F. Blitzer

ChapterP: Prerequisites: Fundamental Concepts Of Algebra

Section: Chapter Questions

Problem 1MCCP: In Exercises 1-25, simplify the given expression or perform the indicated operation (and simplify,...

See similar textbooks

Similar questions

The Bureau of Labor Statistics reports that the official unemployment rate for Black people was 10.4% and 4.7% for White people in February 2015. Select all correct answers for this question. O The samples of white and black people are independent. The explanatory variable is the unemployment rate. The response variable is the unemployment rate. The response variable is race.
De SFU The analgesic effects of music are well known, but most of the studies have been done with adults and most of the music has been classical. You want to know whether children who choose their own music or audiobook to listen to after a surgery experience less pain and whether that depends on a severity of a surgery. To answer this question, you asked children who underwent minor and major surgeries to listen to music or a story of their choice, or to sit with noise-cancelling headphones for 30 minutes and then to point to a pain face that best illustrated their level of pain. PAIN MEASUREMENT SCALE
On occasion, medical studies need to model the proportion of the population that has a disease and compare that to observed frequencies of the disease actually occurring. Suppose the end-stage renal failure in south-west Wales was collected for different age groups. Do the data in the table show that the observed frequencies are in agreement with proportion of people in each age group? Test at the 1% level. Renal Failure Frequencies Age group 16-29 30-44 45-59 60-74 75+ Total Observed Frequencies 125 152 134 124 48 583 Expected Proportion 0.23 0.25 0.22 0.21 0.09 State the hypotheses.H0: The observed frequencies in agreement with proportion of people in each age group.Ha: The observed frequencies in agreement with proportion of people in each age group. Calculate the χ2 test statistic. Round expected values to two decimal places. Round χ2 to 3 decimal places.χ2 = Calculate the p-value. Round to 3 decimal places.p-value = State your decision.Since p-value α,…
Please answer these questions thanks
Part 1 of 4 A doctor in Oklahoma City wants to know whether the average life span for heart disease patients at four hospitals in the city differ. The data below represents the life span, in years, of heart disease patients from each hospital. Perform an ANOVA test with a 10% level of significance to test whether the average life span of heart disease patients in Oklahoma City differs depending on the hospital that treats them Life Span of Patients Treated at Hospital 1: 8.1, 1.2, 7, 11.5, 21, 2, 15.3, 19.2, 10.5, 15.4, 12.7, 15.3, 12.1, 7.5, 11.4, 16.4, 26.7, 14.6, 1.5, 16.3, 12.6, 0.8, 18.2, 4.2, 9.6, 21, 16.3, 2.7 Life Span of Patients Treated at Hospital 2: 17.6, 11.6, 16.8, 5.2, 6.7, 3.2, 13.8, 12.5, 0.9, 6, 14.3, 1.8, 14.8, 10, 5.8, 15.2, 10, 3.7, 11.4, 21.6, 12.9, 0.5, 9.2, 13.9, 10.9 Life Span of Patients Treated at Hospital 3: 8.5, 2.3, 11, 7.4, 14.8, 5.8, 11, 3.4, 10.9, 1.1, 5.9, 21.6, 12.5, 0.1, 15.5, 15.4, 0.8, 7.7, 5.6, 12, 7.1 Life Span of Patients Treated at Hospital 4:…
A researcher will choose quantitative research if he wants to obtain detailed information about hundreds of subjects from the target population. a. TRUE b. FALSE
You are examining two data sets involving test scores, set A and set B. The score 96 appears in both data sets. In which of the following data sets does 96 represent a higher score? Explain.(a) The percentile rank of 96 is higher in set B than in set A. A. 96 represents a higher score in Set A because a larger percentage of scores fall below 96 in set A.B. 96 represents a higher score in Set B because a larger percentage of scores fall below 96 in set B. C. 96 represents an equivalent score in both sets because an equal percentage of scores fall below 96 in both sets.D. It is impossible to tell in which set 96 represents a higher score because a percentage depends on the number of test scores in the set, which is unknown. (b) The mean is 90 in both data sets, but set A has a higher standard deviation.A. 96 represents a higher score in Set A because 96 is more standard deviations above the mean.B. 96 represents a higher score in Set B because 96 is more standard deviations above the…
Q.31 Define deseasonalisation of data.
A research firm regularly conducts customer satisfaction surveys for an amusement park. A survey of 200 randomly selected park visitors on a weekday in May concluded the average age of visitors to the park was 39 years. When the survey was repeated with 200 randomly selected park visitors on a Saturday in May, the average age of visitors to the park was determined to be 17 years. Does the information represents a quantitative or qualitative variable? What is the age of the visitor? Does the visitor have a season pass?
A matched-pair case-control study was conducted in order to assess if there is a relationship between serum Vitamin D levels and migraine headaches. The results are shown below: Control Control With migraine No Migraine 22 49 (Case) High Vitamin D (Case) Low Vitamin D 36 18 What would be the total number of participants with migraine after we unmatched the pairs? Answer should be in numerical form. Avoid extra spaces before and after your answers. Answer should be a whole number; no decimal points.
Please manually solve this not using excel. Thx
The director of student services at Oxnard College is interested in whether women are more likely to attend orientation than men before they begin their coursework. A random sample of freshmen at Oxnard College were asked what their gender is and whether they attended orientation. The results of the survey are shown below: Data for Gender vs. Orientation Attendance Women Men Yes| 358 444 No 252 354 What can be concluded at the a = 0.01 level of significance? For this study, we should use Select an answer a. The null and alternative hypotheses would be: Но: Select an answer > Select an answer > Select an answer (please enter a decimal and note that p1 and ul represent the proportion and mean for women and p2 and u2 represent the proportion and mean for men.) H1: Select an answer > Select an answer Select an answer O (Please enter a decimal) b. The test statistic (please show your answer to 3 decimal places.) c. The p-value (Please show your answer to %3D 4 decimal places.)