Over doses from opioids have captured the national spotlight. Rightly so they kill nearly 30,000 Americas a year and cause more than 1 million hospitalizations. However,the misuse of over-the-counter pain medications (e.g. Tylenol, Advil, Aleve) can cause stomach bleeding, ulcers, liver disease and, in some cases, death. Approximately80% of Americans use these medications to relieve headaches, backaches, sore muscles, and reduce fever but they are unaware of the dangers if the drugs are not usedcorrectly.A random sample (n=101) of adults were given a questionnaire to ask the question "How often do you use pain medication in one day?". Using the output, histogram, box-whisker plot, and the QQ Plot attached - check the assumption of normality for this data.PainNormalityInformationoutputhistbox 210317.pdfThe assumption of normality was checked by comparing theand the median.This suggests that the distribution is slightlyThe+ Theis between the acceptable range of -3 and +3.tail of the histogram is slightly longer.The median is in the center ofThereenough evidence that the data is Normal.skewed.1.continuous2. H-spread3. kurtosis4. left5. is6. is not7. mean8. median9. negatively10. positively11.right Summary statistics:ColumnnHow often did or do you use pain medication in one day 101 2.3762376 1.5801993Mean Std. dev. Median Range Min Max Q1 Q3 IQR SkewnessKurtosis260 6 1 4 3 0.19334113 -0.62389739 Multiple modesMode

Answered: Image /qna-images/answer/dcb3f34b-5256-4121-a28e-8e151b5139e4.jpg

Answered: Over doses from opioids have captured…

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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You are concerned that nausea may be a side effect of Tamiflu, but you cannot just give Tamiflu to patients with the flu and say that nausea is a side effect if people become nauseous. However, past research indicates that about 30% of people who get the flu experience nausea, and you believe that the percentage of those who experience nausea while having the flu and taking Tamiflu will be greater than 30%, which would indigate that nausea is a side effect of Tamiflu. If you are going to test this claim at the 0.05 significance level, what would be your null and alternative hypotheses? Họ: H1: What type of hypothesis test should you conduct (left-, right-, or two-tailed)?
Opinions are split about a coffee company's pumpkin-flavored coffee (PFC). Yet every year over the last five years the consumption of pumpkin-flavored goods has increased. If we look at the numbers, it also becomes clear why a leading coffee company keeps offering the PFC earlier and earlier every year. According to a magazine, the amount spent by PFC buyers at the coffee company is about 17% higher than non-PFC buyers. The accompanying table shows a random sample of eight consumers, the amount they spend per week, and the number of PFCs purchased per week. PFC Spending 2 13.88 7 39.11 4 19.79 1 9.84 3 15.43 1 21.52 5 37.39 3 13.85 Calculate the slope and y-intercept for the regression formula. The slope is b1=(Round to three decimal places as needed.)
Opinions are split about a coffee company's pumpkin-flavored coffee (PFC). Yet every year over the last five years the consumption of pumpkin-flavored goods has increased. If we look at the numbers, it also becomes clear why a leading coffee company keeps offering the PFC earlier and earlier every year. According to a magazine, the amount spent by PFC buyers at the coffee company is about 17% higher than non-PFC buyers. The accompanying table shows a random sample of eight consumers, the amount they spend per week, and the number of PFCs purchased per week. PFC Spending 2 13.88 7 39.11 4 19.79 1 9.84 3 15.43 1 21.52 5 37.39 3 13.85 The slope is b1=4.465 The y-intercept is b0=6.840 Because the slope is positive, it can be concluded that one extra PFC purchase per week will increase the average amount of spending per week by 4.46 dollars. Predict…
6. A social worker looks at data in her state regarding the relationship between being in foster care and having a criminal record by the age of 25. "Aging out' refers to when a youth turns 18 years old and is expected to move out of foster care and start their lives on their own. Fictional data fro 1350 youths is shown below. Answer the following questions in the space below, labeling each response a, b, or c. What percentage of youths overall were adopted before aging out, and had a criminal record? What percentage of youths were in foster care until they were aged out? True or False: If foster care status and having a crime record were independent of each other, and 55% overall had no crime record, you would expect 55% of those who aged out in foster care to have no crime record. No crime record Crime record Total Foster care until ‘aged out’ 445 450 895 Adopted before aging out 300 155…
In 2015, over 30,00030,000 Americans died from opioid overdoses, and the number of inpatient stays and emergency visits to hospitals related to opiods increased dramatically compared to previous years. The National Institutes of Health (NIH) have partnered with the Healthcare Cost and Utilization Project (HCUP) to gather data on opioid-related deaths and hospitalizations. These data include information about inpatient stays, emergency department visits, age, sex, income, and opiod-related use. For a given patient admitted to a hopsital for an opioid-related event, identify which of these events are disjoint.
What is the base rate(or prevalence in medical literature) and sensitivity(the percentage of individuals with a disease who are correctly classified as having the disease?)
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?
1. Pg 221 Good for the gut? Is fish good for the gut? Researchers tracked 22,000 male physicians for 22 years. Those who reported eating seafood of any kind at least 5 times per week had a 40% lower risk of colon cancer than those who said they ate seafood less than once a week. Based on this study, is it reasonable to conclude that eating seafood causes a reduction in the risk of colon cancer? Explain.44
Table 1. VITAL STATISTICS OF COUNTRY Y 2020 2018 2015 Total population 109,035,343 100,981,437 92,337,852 Total marriages (Based on civil registration) 240,183 431,972 449,169 Total population of women 15-44 years old 32,962,017 28,625,793 26,417,734 Total Births (Based on civil registration) Male 990,390 750,871 632,870 Female 952,126 972,802 487,798 Total Deaths (Based on civil registration) Timely 506,530 509,762 473,987 Late 106,820 110,382 116,803 Deaths during pregnancy 7,938 7,099 6,759 Fetal deaths Early 1,942 1,236 1,326 Intermediate 1,435 1,161 1,288 Late 1,157 1,311 1,046 Infant deaths Less than 7 days 839 623 795 Less than 28 days 1,961 1,911 1,863 Less than 1 year 3,534 3,658 3,080 Top 3 Leading Causes of Mortality 1. Diseases of the circulatory system 691,225 625,213…
A psychologist believes that the age of an adolescent will have an impact on the number of phone calls made to the opposite sex (in heterosexual people) over the course of one month. They also suspect that gender of the adolescent will have an impact on the number of phone calls made to the opposite sex. Using the hypothetical data provided below, run your analyses in R to test whether age and gender impacts the number of phone calls an adolescent makes. Gender (Binary) Girl Boy Age Young Adolescents (11-14) 7, 2, 3, 5, 3 1, 2, 3, 2, 1 Older Adolescents (15-18) 15, 26, 19, 21, 18 10, 8, 5, 16, 9 ( What kind of statistical analysis do you need to use and why? State the null and alternative hypotheses. Check your assumptions. Include screenshots of your R output and explain why each of them are or are not met. Using R, run your analysis and include a screenshot. Using R, run post-hoc tests and include a screenshot. What do you…
An Associated Press story in Easton, Maryland’s The Star Democrat on June 3, 2010 reported thatAll told, scam artists are believed to have stolen about $47 billion from Medicare in the 2009 fiscal year, nearly triple the toll a year earlier. Medicare spokesman Peter Ashkanaz said that…charges have been filed against 103 defendants in cases involving more than $100 million in Medicare fraud.(a) What percentage of the Medicare fraud has been targeted by filed charges?(b) What is the average claim in each fraud charge?(c) How many of these average size claims would need to be filed to recover the entire $47 billion?
Please help needed on this asap. Thanks so much! It has been observed that some persons who suffer colitis, again suffer colitis within one year of the first episode. This is due, in part, to damage from the first episode. The performance of a new drug designed to prevent a second episode is to be tested for its effectiveness in preventing a second episode. In order to do this two groups of people suffering a first episode are selected. There are 170 people in the first group and this group will be administered the new drug. There are 132 people in the second group and this group wil be administered a placebo. After one year, 14% of the first group has a second episode and 18% of the second group has a second episode. What is a 90% confidence interval for the difference in true proportion of the two groups.

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