conclusion?A. Determining the relationship between alcohol use disorder and alcohol dependence in ASEAN countries.B. Determining if there is a significant difference between alcohol use disorder and alcohol dependence in ASEAN countries. Percentage Prevalence of Alcohol Use Disorder Percentage Prevalence of Alcohol Use DependenceSSxCountryBruneix-mean of x y-mean of y (x-mean x) (y - meany)-0.8Ssy2.30.8-1.09090910.8727272731.190082640.641.95.10.7MyanmarCambodia-1.4909091-0.91.3418181822.222809920.812.71.709090911.11.882.920991741.21Timor-LesteIndonesia1.80.80.7-1.5909091-0.91.4318181822.530991740.810.7-2.5909091-0.92.3318181826.712809920.81Laos5.22.81.809090911.22.1709090913.272809921.44MalaysiaPhilippinesSingaporeVietnam1.1-0.3909091-0.50.1954545460.152809920.255.32.91.909090911.32.4818181823.64462811.691.10.52.9-2.2909091-1.12.525.248264461.215.42.009090911.32.6118181824.036446281.69Thailand5.41.82.009090910.20.4018181824.036446280.04Summation37.317.6Mean:3.3909090911.6SP =18.2435.969090910.6r= SP/{(sqrtsSx)(sqrtssy)}r= 0.9341296778Wine (y)CountryBruneiBeer (x)x^2y^2ху10010000Мyaвmar22.49.9501.7698.01221.76T-testCambodiaSS.10.67761.610.3652.86Timor-Leste67.632.44569.761049.762190.24SST =5341.447273XYIndonesia18.576.3342.255821.691411.551111Laos50.22520.04Sxx =8732.416364mean6.21666667 2.93333333MalaysiaPhilippinesSingapore60.721.13684.49445.211280.77variance:3.596909091.0627.30.4745.290.1610.92Sxy =-2680.09091df97014.64900213.161022numerator3.28333333Vietnam91.50.88372.250.6473.2B1 =-0.30691286s1^2/n1^20.32699174Thailand28.32.8S00.897.8479.24BO =31.87252494s2^2/n2^20.09636364Summation:624.6158.944198.347636.836342.54SUM0.42335537Mean:56.78181818 14.445455y^x =5249 - 0.306912863xsqrt0.65065765t-statistic5.04617652Critical Value 2.26215716

Given: Two variables : Alcohol Use Disorder , Alcohol dependence Correlation coefficient = 0.9341. T…

. Determining the relationship between alcohol use disorder and alcohol dependence in ASEAN countries. B. Determining if there is a significant difference between alcohol use disorder and alcohol dependence in ASEAN countries

. Determining the relationship between alcohol use disorder and alcohol dependence in ASEAN countries. B. Determining if there is a significant difference between alcohol use disorder and alcohol dependence in ASEAN countries

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

See similar textbooks

Similar questions

2. The scores for 15 persons on the Stressful Life Events Inventory (SLEI) and the scores for 15 other persons on the Major Stressors Questionnaire (MSQ) are presented in the Assessment 3 Data Excel file in the Stress Scores tab. For both surveys, higher scores mean that the person has experienced more stressors recently, suggesting a greater risk for stress-related symptoms such as acute anxiety attacks. Open the Assessment 3 Data Excel file and look over the SLEI and MSQ raw scores and z-scores in the Stress Scores tab. A. Please take a look at Participant 8 and 23 raw scores and z-scores. Who is at the greatest risk for acute anxiety attacks, Participant 8 or 23? Please make sure to briefly explain your answer based on the z- scores. B. What is the probability that someone will score higher than 40 on the SLEI? Is this unusual? Why or why not? What is the probability that someone will score higher than 125 on the MSQ? Is this unusual? Why or why not? (Please make sure to look up…
1. State whether it will experimental or observational 2. If observational, identify which type specifically (retrospective cohort, prospective cohort, case-control, cross-sectional, ecological) 3. Briefly explain how you can tell what type of study it is. In 2010, we examined the medical records of 2,000 patients ages 53+ associated with Kaiser Permanente (large health care organization) who did NOT have kidney disease in 2005. Then, we look back in the records to see who took BZDs from 2000-2005. After that, we look to see who developed kidney disease from 2006 until 2008. We compared the rates of kidney disease among those who took the BZDs and those who didn’t.
5. In the United States, there is a strong relationship between education and smoking: well-educated people are less likely to smoke. Does a similar relationship hold in France? To find out, researchers recorded the level of education and smoking status of a random sample of 459 French men aged 20 to 60 years.36 The two-way table below displays the data. Is there convincing evidence of an association between smoking status and educational level among French men aged 20 to 60 years? Smoking Status Nonsmoker Former Moderate Heavy Primary School 56 54 41 36 Education Secondary School 37 43 27 32 University 53 28 36 16
14. In planning for your study, you find a case-control study that examined the relationship between sleep and dementia. Cases were people with dementia and controls were people without dementia. Both groups were asked about amount of sleep per night. The results of this study are below. Calculate the appropriate measure of association for this study and provide an interpretation. Sleep 8+ hours per day <8 hours per day Cases Controls 90 120 115 80 Total 205 200
24. According to the Centers for Disease Control and Prevention (CDC), 26% of Americans are "anti-vax". To verify this, 1,000 Americans were asked and 324 of them said they are "anti-vax". What is the population, sample, statistic, paramter, variable, and constants?
1. A researcher was interested in understanding reproductive health among youth. She randomly selected a group of young persons and administered a questionnaire to collect information. Table 1 provides data on 10 respondents with their responses to selected questions. Respondent # How much of Gender a risk would Number of persons had sex with in the past months Frequency of Alcohol usage in the past 12 do you think you personally have of getting other STDS? 12 months (Risk of HIV) Moderate Risk Female No risk at all Little risk 1 Never Male Almost everyday Male Never Great risk Male Female 4 About once per week Once per month Almost everyday 1-3 drinks per month Moderate risk 6. No risk at all Female 1 7 Great Risk Male 3 8. No risk at all Female Never Little Risk No risk at all Female Male Almost every day About once per 9 10 month a. Refer to Table 1: Indicate the most appropriate measure of central tendency for each variable listed and give a reason for your choice. b. Suppose you…
3. The table below shows the expected years of schooling and gross domestic product (GDP) of the Southeast Asian countries in 2017. Use this information to answer the following: 1. Determine the correlation between the expected years of schooling and GDP. II. Based on the result, what can you conclude about the relationship between the expected years of schooling and GDP? Country Expected Years of Schooling GDP per capita (in international-$) Brunei 14.5 71809.3 Cambodia 11.7 3645.1 Indonesia 12.8 11188.7 Laos 11.2 6397.4 Malaysia 13.7 26808.2 Myanmar 10 5591.2 Philippines 12.6 7599.2 Singapore 16.2 85535.4 Thailand 14.7 16277.7 Vietnam 12.7 6171.9 Source: https://ourworldindata.org/grapher/expected-years-of-schooling-vs-qdp-per-capita
5. Generally, two types of data may be collected from sampling at an inspection point. These two types of data are A. constant and conditional data. B. variable and conditional data. C. constant and attribute data. D. variable and attribute data Mark for review Will be highlighted on the review page) Nest Questio
3. Eight different aged patients are tested on their sugar levels in a laboratory to know whether there is any relationship between the age and blood sugar level. Using appropriate method, analyze the following data and give your comments on the same. Patients 10 15 20 25 30 35 40 45 Blood- 70 85 110 180 125 100 180 120 Sugar level
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