. 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
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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.
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- The average time that Italy commute to work is 23.15 minutes (Best 4 Tourist Places, June 15, 2020). The average commute times in minutes for 18 cities are given in Table 3.1. Table 3.1 City Time (minutes) Rome 24.9 Milan 26.8 Naples 26.2 Turin 28.1 Palermo 31.7 Genoa 25.8 Bologna 23.3 Florence 32.1 Bari 28.5 Catania 24.4 Verona 29.3 Venice 24.8 Messina 38.1 Padua 28.3 Trieste 28.4 Taranto 24.6 Prato 20.1 Modena 23.4 1) What is the mode for these 18 cities? 2) Find 28th and 77th Percentile of commute times for these 18 cities.Refer to the (x-bar) chart in Section 8.2 Exercise 6 of the text.According to this (x-bar) chart, is the process within statistical control? If not, provide a reason why not. a. It does not appear to be within statistical control because at least one point is more extreme than the UCL or LCL. b. It appears to be within statistical control. c. It does not appear to be within statistical control because there is an obvious non-random trend, cycle, or pattern in the points. d. It does not appear to be within statistical control because at least 8 consecutive points are located all above or all below the centerline.The average time that Italy commute to work is 23.15 minutes (Best 4 Tourist Places, June 15, 2020). The average commute times in minutes for 18 cities are given in Table 3.1. Table 3.1 City Time (minutes) Rome 24.9 Milan 26.8 Naples 26.2 Turin 28.1 Palermo 31.7 Genoa 25.8 Bologna 23.3 Florence 32.1 Bari 28.5 Catania 24.4 Verona 29.3 Venice 24.8 Messina 38.1 Padua 28.3 Trieste 28.4 Taranto 24.6 Prato 20.1 Modena 23.4 a) What is the variance and standard deviation of commute times for these 18 cities? b) Find the z – score value of commute time for these 18 cities. c) Find 28th and 77th Percentile of commute times for these 18 cities.
- 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…For a study that has one independent variable with three levels and 4000 participants per level, what is the recommended maximum number of analyses (comparisons or contrasts) to plan? (hint: This is the same as the number of independent research questions that can be asked) a. One, because this is the number of independent variables. b. Two, because this is one less than the number of groups. c. 11999, because this is one less than the number of participants. d. Any number...as long as the analysis is pre-registered there is nothing to worry about.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
- 9. Find the Association between Literacy and Unemployment from the following figures : Total Adults Literates Unemployed Literate Unemployed. Comment on the result. 10,000 1,290 1,390 820415. Medical School Tuition Listed below in dollars are the annual costs of tuition at the 10 most expensive private medical schools in the United States for a recent year (based on data from U.S. News & World Report). What does this "top 10" list tell us about those costs for the population of all U.S. private medical school tuitions? 57,261 56,784 55,196 54,976 54,653 54,528 54,268 54,050 53,581 53,323 16. California Smokers In the California Health Interview Survey, randomly selected adults are interviewed. One of the questions asks how many cigarettes are smoked per day, and results are listed below for 50 randomly selected respondents. How well do the results reflect the smoking behavior of California adults? 9 10 10 20 40 50 (Plus 44 other values that are all 0)
- 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.4414. When you collect data from many people to perform analysis, what is the source of such data?Example#1: A researcher wishes to examine whether time of day (morning versus afternoon) affects the memory of older and younger participants. He obtains a sample of 40 older individuals and 40 younger individuals and gives them a passage to read. They are later given a test over the passage (scores on the test could range from O to 30). HaJf of the individuals are randomly assigned to read the passage and take the test in the morning, and the other half do so in the afternoon. The data are reported in the table below (the numbers represent mean test scores for each group; that is, "M" is mean). Morning Testing M= 15 Afternoon Testing Older Adults M=8 Younger Adults М- 16 М-20