1. Is the percent of people in the US considered hungry over 25%? What information did you use to make your conclusion? Can you find any problems with the way this question was phrased? What would be a question that had more integrity and respect for this important study? To be able to focus and find a more accurate figure, we have to understand that the percentage of "food insecurity" goes hand in hand with the degree of poverty and malnutrition that a country has, which means , we could find a relation or a similar figure when we talk about a percentage of poverty and "food insecurity". In fact, higher unemployment, lower household assets, and certain demographic characteristics also lead to a lack of access to adequate, nutritious food. In the United States, in 2015 around 43.1 million people (13.5 percent) were in poverty ( this is significantly less than 25% considered hungry). On the other hand, in the same year 42.2 million Americans lived in food insecure households, including 29.1 million adults and 13.1 million children. Having said this, we can determine that indeed the percentage of poor and food insecurity are very similar, but even more importantly, they do not surpass or are close to the 25% proposed by the question. I particularly do not find any problem with the way this question was phrased, However, I think, that the question could be much more direct and closed, which would help us to find a more concise and at the same time accurate answer. For example we might ask: what is the percentage of food insecurity in US ?, Is 25% percent of people or close to 25% in the US considered hungry? 2. 1. Is the percent of people in the US considered hungry over 25%? What information did you use to make your conclusion? Can you find any problems with the way this question was phrased? What would be a question that had more integrity and respect for this important study? To be able to focus and find a more accurate figure, we have to understand that the percentage of "food insecurity" goes hand in hand with the degree of poverty and malnutrition that a country has, which means , we could find a relation or a similar figure when we talk about a percentage of poverty and "food insecurity". In fact, higher unemployment, lower household assets, and certain demographic characteristics also lead to a lack of access to adequate, nutritious food. In the United States, in 2015 around 43.1 million people (13.5 percent) were in poverty ( this is significantly less than 25% considered hungry). On the other hand, in the same year 42.2 million Americans lived in food insecure households, including 29.1 million adults and 13.1 million children. Having said this, we can determine that indeed the percentage of poor and food insecurity are very similar, but even more importantly, they do not surpass or are close to the 25% proposed by the question. I particularly do not find any problem with the way this question was phrased, However, I think, that the question could be much more direct and closed, which would help us to find a more concise and at the same time accurate answer. For example we might ask: what is the percentage of food insecurity in US ?, Is 25% percent of people or close to 25% in the US considered hungry? 2. Think of a scenario where you could use hypothesis testing. Describe how you would set up the problem and solve it. First of all we have to be clear about what hypothesis is. A hypothesis is an assumption. It is an idea that may not be true, based on previous information. Its value lies in the ability to establish more relationships between the facts and explain why they occur. There is even the statistical hypothesis that is that hypothesis that tests and expresses the operational hypotheses in the form of mathematical equations. I could use hypothesis testing at many points in my daily life, but I think we could obtain the most benefit from it when we work on a research, and we have to draw conclusions about it. For example, we can use a hypothesis in those cases where the verification of a context is gradually inaccurate or differential where you can assume what it entails. Also, for example if you take the research question: "What is causing pollution in the Florida in the last 10 years?". Now, based on the topic and variables, in order not to get out of focus, answer the question; That answer will be your hypothesis and where you will start your research. Therefore, you could say that environmental pollution in Florida has been affected in the last 10 years by the increase of cars, which mean a negative contribution to Florida's air and to the inhabitants. 3. Open an excel worksheet. List 10 x values in cells a1 to a10 List 10 y values in cells b1 to b10 Here are the r values for the r value, scatter plot and regression line. Enter the x and y values. Highlight the data. From the insert menu, select scatter (select top left chart). Now select the data series by right-mouse clicking on the top right point. This will highlight all the data points. Select \"Format Trendline\" The default radio button is linear, Keep it checked. Check Display Equation on chart and the R-squared value and click closed. The equation is your linear regression equation. The R-squared value is the coefficient of determination. To find the R value take the square root of the r-squared value or (r-squared value) ^ .5 since .5 is to the power. Then if the slope of the line is positive, r is positive and if the slope of the line is negative r is negative. On the linear regression line, the slope is in front of the x value. Also, you can look at the slope of the line on the scatter plot. Take a screen shot if you can. If not describe your data giving all your numbers. If you do not have excel then you can use the formulas in the book to do these 1. Is the percent of people in the US considered hungry over 25%? What information did you use to make your conclusion? Can you find any problems with the way this question was phrased? What would be a question that had more integrity and respect for this important study? To be able to focus and find a more accurate figure, we have to understand that the percentage of "food insecurity" goes hand in hand with the degree of poverty and malnutrition that a country has, which means , we could find a relation or a similar figure when we talk about a percentage of poverty and "food insecurity". In fact, higher unemployment, lower household assets, and certain demographic characteristics also lead to a lack of access to adequate, nutritious food. In the United States, in 2015 around 43.1 million people (13.5 percent) were in poverty ( this is significantly less than 25% considered hungry). On the other hand, in the same year 42.2 million Americans lived in food insecure households, including 29.1 million adults and 13.1 million children. Having said this, we can determine that indeed the percentage of poor and food insecurity are very similar, but even more importantly, they do not surpass or are close to the 25% proposed by the question. I particularly do not find any problem with the way this question was phrased, However, I think, that the question could be much more direct and closed, which would help us to find a more concise and at the same time accurate answer. For example we might ask: what is the percentage of food insecurity in US ?, Is 25% percent of people or close to 25% in the US considered hungry? 2. Think of a scenario where you could use hypothesis testing. Describe how you would set up the problem and solve it. First of all we have to be clear about what hypothesis is. A hypothesis is an assumption. It is an idea that may not be true, based on previous information. Its value lies in the ability to establish more relationships between the facts and explain why they occur. There is even the statistical hypothesis that is that hypothesis that tests and expresses the operational hypotheses in the form of mathematical equations. I could use hypothesis testing at many points in my daily life, but I think we could obtain the most benefit from it when we work on a research, and we have to draw conclusions about it. For example, we can use a hypothesis in those cases where the verification of a context is gradually inaccurate or differential where you can assume what it entails. Also, for example if you take the research question: "What is causing pollution in the Florida in the last 10 years?". Now, based on the topic and variables, in order not to get out of focus, answer the question; That answer will be your hypothesis and where you will start your research. Therefore, you could say that environmental pollution in Florida has been affected in the last 10 years by the increase of cars, which mean a negative contribution to Florida's air and to the inhabitants. 3. Open an excel worksheet. List 10 x values in cells a1 to a10 List 10 y values in cells b1 to b10 Here are the r values for the r value, scatter plot and regression line. Enter the x and y values. Highlight the data. From the insert menu, select scatter (select top left chart). Now select the data series by right-mouse clicking on the top right point. This will highlight all the data points. Select \"Format Trendline\" The default radio button is linear, Keep it checked. Check Display Equation on chart and the R-squared value and click closed. The equation is your linear regression equation. The R-squared value is the coefficient of determination. To find the R value take the square root of the r-squared value or (r-squared value) ^ .5 since .5 is to the power. Then if the slope of the line is positive, r is positive and if the slope of the line is negative r is negative. On the linear regression line, the slope is in front of the x value. Also, you can look at the slope of the line on the scatter plot. Take a screen shot if you can. If not describe your data giving all your numbers. If you do not have excel then you can use the formulas in the book to do these