1.Provide your preferred definition of “health disparities” Specify the source. Feel free to come up with your own definition.React to the video and the WHO PowerPoint. Did they help you to understand the concept of “health disparities”? How? Did you learn anything new? Explain.https://www.youtube.com/watch?v=7qAld9bGwlAhttps://www.who.int/news-room/facts-in-pictures/detail/health-inequities-and-their-causesFrom the Adler and Rehkopf (2007) article select a passage to remember. Explain your selection.https://www.annualreviews.org/doi/pdf/10.1146/annurev.publhealth.29.020907.090852ASHP identifies seven Pharmacist´s roles in Eliminating Disparities.In your opinion which of those roles should have priority. Explain.Reflect on your education so far, do you feel ready to fulfill the selected role. Explain
What price do farmers get for their watermelon crops? In the third week of July, a random sample of 41
What price do farmers get for their watermelon crops? In the third week of July, a random sample of 41 farming regions gave a sample mean of = $6.88 per 100 pounds of watermelon. Assume that σ is known to be $1.94 per 100 pounds.(a) Find a 90% confidence interval for the population mean price (per 100 pounds) that farmers in this region get for their watermelon crop (in dollars). What is the margin of error (in dollars)? (For each answer, enter a number. Round your answers to two decimal places.)Lower limit $_________Upper limit $_________Margin of error $________(b) Find the sample size necessary for a 90% confidence level with maximal error of estimate E = 0.25 for the mean price per 100 pounds of watermelon. (Enter a number. Round up to the nearest whole number.)_____________Farming Regions(c) A farm brings 15 tons of watermelon to market. Find a 90% confidence interval for the population mean cash value of this crop (in dollars). What is the margin of error (in dollars)? Hint: 1 ton is 2000 pounds. (For each answer, enter a number. Round your answers to two decimal places.)Lower limit $__________Upper limit $__________Margin of error $________
Una compañía grande armadora de automóviles trata de decidir si compra llantas de las marca A o de la B
Una compañía grande armadora de automóviles trata de decidir si compra llantas de las marca A o de la B para sus modelos nuevos. Pará ayudar a tomar una decisión, se realiza un experimento en dónde se usan 18 llantas de cada marca. Las llantas se utilizan hasta que se acaban. Los resultados son :Marca A x̅̅1̅=37900 Kilometros S1 =5100 Kilómetros x̅̅1̅=39800 Kilómetros S1 =5900 kilómetros Pruebe la hipótesis de que no hay en el desgaste promedio de las 2 marcas llantas. Suponga que las poblaciones se constituyen de forma aproximadamente normal con varianza iguales. Use un valor P.
An additional observation is added to a right skewed data set and this observation is larger than the all previous
An additional observation is added to a right skewed data set and this observation is larger than the all previous observations. The new observation __________a.Always causes the median to decreaseb.Always causes to change the shape of distribution to a left skewed distributionc.Does not change the shape of the distributiond.Sometimes causes the mean to increase
Se sabe que las emisiones de hidrocarburos disminuyeron de forma dramática durante la década de 1990. Se realizó un estudio
Se sabe que las emisiones de hidrocarburos disminuyeron de forma dramática durante la década de 1990. Se realizó un estudio para comparar las emisiones de hidrocarburos a velocidad estacionaria, en partes por millón (ppm), para automóviles de 1990 y 2000. Se seleccionaron al azar 20 automóviles de cada modelo y se registraron sus niveles de emisión de hidrocarburos. Los datos son los siguientes: Modelos 1990: 155 395 272 1034 970 543 337 231 116 968 220 245 207 1034 265 209 330 479 265 418 Modelos 2000:154 176 22 22 245 66 22 105 396 77 242 440 239 64 259 418 220 193 94 72 Pruebe la hipótesis de que σ1 = σ2 contra la alternativa de que σ1 ≠ σ2. Suponga que ambas poblaciones son normales. Utilice un valor P.
the first half of your review, answer the following questions about the epidemiological study described in the news article (study
Religion and Theology Assignment Writing Servicethe first half of your review, answer the following questions about the epidemiological study described in the news article (study design, exposure, outcome, hypothesis or question, source of data, results).What was the question under study (the cause-effect relationship — identify the exposure and the outcome, and the hypothesized relationship)? [1.5 point]What was the source of data for this epidemiological investigation (person, place, time: note cases and controls if appropriate)? [1 point]What study design was used? [1.5 point]What were the key results? [1 point]Part 2*attached is the article******In the second half of your review, describe five criteria for causation (using Hill’s Causal Criteria) that apply to the study. Choose five “criteria for causation” and briefly describe the extent to which each is met. (Note: It’s okay to explain why criteria are not met for a maximum of three of these.) [5 points]Hill’s Causal CriteriaRemember, approximately half of your assignment should answer the questions about hypothesis, study design and primary results. The remaining half of your write-up should discuss the criteria for causation (i.e., Hill’s Causal Criteria). Please write which five criteria apply or don’t apply to the study’s findings on the Exposure-Outcome analysis. Please say why they apply based on the information provided in your review article. (e.g., the authors demonstrated a dose response because as children ate more Twinkies, they were more likely to be overweight). If you don’t understand Hill’s Causal Criteria, ask before writing your assignment and turning it in.Babies Born at High Altitudes May Be SmallerBeginning as low as 500 meters, the higher the altitude, the shorter the babies’ length atbirth and the slower their growth up to 5 years old.By Nicholas BakalarSept. 3, 2020Living at high altitudes may be associated with giving birth to smaller babies who growmore slowly through childhood.Researchers studied 964,299 children in 59 low- and middle-income countries in Asia,Africa, Eastern Europe, the Caribbean and Latin America. Among them, 106,441 livedabove an altitude of 1,500 meters, or about a mile high.The study, in JAMA Pediatrics, controlled for sex, maternal age, educational level andother factors, but still found a direct relationship between height and altitude: beginningas low as 500 meters above sea level, the higher the altitude, the shorter the babies’length at birth and the slower their growth up to 5 years old.The researchers also looked at a subset of 1,718 children living in what they labeled idealhome environments — that is, singleton births with access to safe water and sanitation,living in a household that owned a television and a car, born in hospitals to mothers withmore than a high school education, and having received required childhood vaccinations.The association was weaker, but still significant.THE FINDING IS LIKELY TO BE RELEVANT IN THE UNITED STATES AS WELL, ACCORDING TO THE LEAD AUTHOR, KALEAB BAYE, AN ASSOCIATE PROFESSOR OFNUTRITION AT ADDIS ABABA UNIVERSITY IN ETHIOPIA.”THERE HAVE BEEN STUDIES CONSISTENTLY SHOWING THAT CHILDRENBORN IN COLORAD AT HIGH ALTITUDE HAVE LOWER AVERAGE BIRTH
Using the attached R code (le1.R) get the daily equity prices data for the Japanese Nikkei 225 stock index for
Using the attached R code (le1.R) get the daily equity prices data for the Japanese Nikkei 225 stock index for the period 2000/01/04-2019/12/30 from finance.yahoo.com (use ticker ^N225) and answer questions 1-3.1. Compute the log returns for Nikkei and find the statistics below. a) Find the mean annualized return. b) Find the annualized volatility (standard deviation for the whole sample).c) Find the skewness and kurtosis and explain if there is any asymmetry and fat tails?d) Formulate and test the efficient market hypothesis (EMH) using the Q test for returns for k=15 autocorrelations.e) Formulate and test the null hypothesis of no volatility clustering using the Q test for squared returns for k=15 autocorrelations.
A particular brand of tires claims that its deluxe tire averages at least 50,000 miles before it needs to be
A particular brand of tires claims that its deluxe tire averages at least 50,000 miles before it needs to be replaced. From past studies of this tire, the standard deviation is known to be 8000. A survey of owners of that tire design is conducted. From the 28 tires surveyed, the average lifespan was 46,500 miles with a standard deviation of 9800 miles. Do the data support the claim at the 5% level? can you provide the R code for this question
1a-d. Theme park guests visit world class parks to experience the thrills of roller coasters and attractions. Guests often
Question 1a-d. Theme park guests visit world class parks to experience the thrills of roller coasters and attractions. Guests often spend 2 to 4 hours waiting to ride a roller coaster for only 2 minutes (duration). Data was gathered from a survey of roller coasters from around the world: speed (“S” – top speed in miles per hour), height (“H” – maximum height above ground level in feet), and length (“L” – total length of track). Engineers calculated the mean duration of the surveyed 110 rollercoasters and found the duration mean to be 123 seconds. The engineers want to predict the duration of a roller coaster based on the variables, S, L, and H. The multiple linear regression yielded the following parameter estimates: 1. Write the regression equation to predict duration based on S, H, and L.1b. When the overall top speed and length of track remain constant, the marginal change in duration? Show Work.a. increases by 0.0165 seconds for each foot above ground level.b. decreases by 0.0165 seconds for each foot above ground level.c. increases by 0.5132 seconds for each foot above ground level.d. decreases by 0.5132 seconds for each foot above ground level.e. unable to determine from the data provided.1c. Which parameter is not a significant predictor of duration? Show Work. a. speed (“S” – top speed in miles per hour)b. height (“H” – maximum height above ground level in feet)c. length (“L” – total length of track in feet)d. Both a and c.e. Both a, b, and c.1d. Predict the duration of the new ride opening up in December 2020, if the maximum speed is 56 mph, maximum height above ground level in feet is 148 ft, and total length of track is 3221 ft. Show Work.a. Since there is not a significant linear correlation between height and duration, the best predicted duration value is the sample mean of 123 seconds as stated in the problem.b. 162.3 secondsc. 163.2 secondsd. 154.4 secondse. 154.5 seconds
A researcher conducts an independent-measures study examining how the brain chemical serotonin is related to aggression. One sample of rats
A researcher conducts an independent-measures study examining how the brain chemical serotonin is related to aggression. One sample of rats serves as acontrol group and receives a placebo that does not affect normal levels of serotonin. Asecond sample of rats receives a drug that lowers brain levels of serotonin. Then theresearcher tests the animals by recording the number of aggressive responses each of therats display. The data are as follows. The research is specifically interested in whether ornot there is a difference between the control group and the group with low doses ofserotonin.Control Low Serotoninn = 10 n = 15 ̅ = 14 ̅ = 19 = 4.25 = 2.94a. Compute the pooled standard deviation. (Hint: be careful to find the pooledstandard deviation and not just the pooled variance).b. If the researcher is using = .05, what is the achieved power of the study? (Usethe pooled standard deviation from part a as the SD within each group)c. If the researcher used = .01, what would have been the achieved power of thestudy?d. Based on your answers to parts (b) and (c), what is the effect of changing alpha onthe power of a test?e. Now consider that the researcher used = .05 but tested whether the lowserotonin group had a higher number of aggressive responses than the controlgroup. What would have been the achieved power of the study?f. Comparing your responses to parts (b) and (e), what is the effect of using a one-tailed test compared to a two-tailed test?
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