1. What does "per capita" mean?2. What is GDP?3. What is the Human Development Index (HDI)?4. When we cite statistics about the Infant Mortality Rate, what ages does this (usually) cover?5. What is the Gini Coefficient? (Alternatively, What does the Gini Coefficient measure?)Questions about Gender in the World – use the most recent data available to you, tell me the year you are citing in your answer, and link your data source with each factual answer. (For open-ended “what do you think” questions, you don’t need to cite sources.) – 2 points each6. Which five countries have the lowest percentage of women among their general population? Which part of the world does this represent?7. Using lecture content, internet research, or any other source available to you, can you suggest a reason why this part of the world might have such a high percentage of men vs. women?8. What country has the highest maternal mortality rate? Which countries have the lowest maternal mortality rate?9. The USA has by far the worst maternal mortality rate among highly developed nations. With this in mind, list 4 countries that have maternal mortality rates similar to that of the United States.10. Why might death in childbirth be so high in the United States?11. Name any country where women are more likely than men to be able to read.12. What is the ratio of boy children to girl children in China?13. What factors play into this gender inequity?14. In which two countries do men spend the most time (hours per week) on household chores? How does this compare to the amount of time women spend on household chores in those countries (e.g. men do more work at home, men do less, or it’s about the same)?15. Worldwide, women are much more likely to be obese than men are. But one world region bucks this trend. Where?Questions about Other Topics – 2 points each16. Which country has the greatest number of physicians per 1,000 people?17. Which four countries produce the greatest number of barrels of oil per day?18. Which five countries have the highest meat consumption per person? (If the data breaks countries into political regions, you can answer with those.) Which three countries have the lowest meat consumption per person?Project Questions – 4 points for question 19 and 10 points for question 2019. Choose any world statistic not discussed above. (It does NOT have to be about gender.) Outline it below, telling me 1. What the statistic is – that is, what it actually tells us. 2. Where you got the statistic. This must be a reliable data source like the UN, the World Bank, etc., to receive credit. 3. Why you think this stat is interesting, or what it tells us about the world. 4. What are the limitations of this statistic or dataset?20. Working with numbers. Complete the exercise here.

https://unstats.un.org/home/ https://genderstats.un.org https://data.worldbank.org/  https://databank.worldbank.orghttps://ourworldindata.org/Here are some sources that you can use as well. Thank you so much

1. Download the Hours Worked by GDP dataset, available here  Download here. You should open this data in a spreadsheet application, preferably Excel. It is possible to do everything outlined below in a variety of spreadsheet programs, but Excel is the standard used by government agencies, business, and most not-for-profit groups and NGOs, so these instructions are written specifically for Excel. If you want to figure out how to do the same things in a different application, that is acceptable for this class, but the notes here will only give you a general idea of what you’re trying to do. Note that Excel is standard on university computers.2. For this exercise, you are going to figure out whether richer or poorer nations work harder (more hours per year). I have already found the data for you to work with (and sources are listed to the right in the spreadsheet). When you are working on your own projects, of course you will have to find source data for yourself.3. Most datasets are messy. Your first step is to clean them up. I have already cleaned this up a lot, but there is more for you to do!       A. First, notice that the population data is not all in the same format. Sometimes “million” is written out, sometimes “billion” is, and sometimes a straight number is given. If we were working with population numbers, you would need to put these all in the same format. Luckily for you, we will not be using these numbers for this project.      B. However, we will be using GDP per capita and also working hours per person. Note that many countries and regions do not have data for one or both of these data points. We want to exclude those countries.            a. There are two ways to do this. The hard way (still not too hard) is to go through and delete the row for every country that does not have a datapoint for one or both of those values. For example, we don’t have data on working hours in Afghanistan, so you can highlight the “Afghanistan” row and delete it. Keep all the countries for which you have both datapoints.            b. The quicker way to do this is to select the data in columns A, B, C, and D by highlighting them at the top of the spreadsheet. Then go to “Data” and “Sort,” and sort by column C (“Working hours per person”). After doing this, you can either just disregard the countries without working-hours data (now grouped together at the bottom of the list), or you can delete them from the spreadsheet.4. Now we are going to make a quick graph that can help you see the correlation in this data.      A. Highlight the data you want to compare (not the titles) – that is, the data in columns B and C, Hours Worked and GDP per Capita. Click “charts” on the toolbar, and then (while your two columns are highlighted) click “Marked Scatter.” This will make a scatter chart that shows a dot for each country, plotted with GDP on the x axis (bottom) and hours worked on the Y axis (side).      B. If you click on the chart, you will be able to click “Chart Layout” at the top of the page. Click “trendline” and select “linear trend line.” This will show you the regression line that shows the average correlations in this data.      C. Clean up your chart to make it easier to read. You can do this by clicking “Chart Title,” “Axis Titles,” or “Legend,” then fiddling with settings that will make your graph more readable. (For example, you might want to get rid of the legend that says “series 1,” and you might title the chart “Hours Worked vs. GDP per capita” or something similar. You can also label the axes, for example, “GDP, 2017 dollars” and “Hours worked per year, 2015.” You can change fonts and colors, and there are more complicated formatting changes available to you through this toolbar as well.)5. Now answer these questions.    A. Copy and paste your final scatter graph into your assignment sheet.    B. Based on your data/graph, who works more hours, people in rich countries or people in poor countries?    C. Can you think of a reason for this trend?    D. Name one country that is far outside the norm – that is, a country whose people work many more or fewer hours than you would guess based on GDP alone. (To do this, find a data point that is far from the trendline. Hover over it and it will give you GDP per capita and hours worked per person. Go find the country that corresponds to these numbers in your dataset.)