Who Is Responsible For The Project Me Alone ✓ Solved
Who Is Responsible for the Project Me Alone
My hypotheses for the two hypothesis tests I will be conducting: About 50% of Americans eat junk food 4 or more times per week. The main reason why Americans often eat junk food is they have affordable price.
My data collection method will involve going to Costco Wholesale, randomly sampling customers there, and asking them how often they usually have junk food and the reason why they choose to eat junk food.
Description of descriptive statistics tools that I will use to display and analyze the data includes Mean; Median; Maximum; Minimum; Range (Max-Min).
Description of inferential statistics tools that I will use to draw conclusions from my data includes Bar Chart; Pie Chart.
The type of data I will collect is Qualitative.
Survey questions include: Question 1: How often do you have junk food per week? (quantitative data). Question 2: What’s your age? Question 3: Why do you choose eating junk food? (categorical data) - a. Have no time to cook - b. Prefer to eat - c. Affordable price. Questions 1 and 2 might be linearly correlated to each other. Question 1 is normally distributed; question 3 is categorical data.
Two claims: About 50% of Americans eat junk food 4 or more times per week. The main reason why Americans often eat junk food is their affordable price.
Paper For Above Instructions
Title: Understanding Junk Food Consumption Among Americans
In recent years, the consumption of junk food has increased dramatically among Americans, which raises concerns due to its potential impact on public health. This project proposal aims to investigate two primary hypotheses: (1) about 50% of Americans consume junk food four or more times per week, and (2) the primary reason for this consumption is the affordability of junk food. To evaluate these hypotheses, data will be collected through surveys conducted at Costco Wholesale.
The research questions will focus on the frequency of junk food consumption, the age of respondents, and the motivations behind their choices. A combination of quantitative and qualitative methods will be employed, utilizing both descriptive and inferential statistical tools to analyze the data accurately.
Hypotheses
The first hypothesis posits that approximately 50% of Americans consume junk food four or more times weekly. This claim is grounded in previous studies indicating the prevalence of unhealthy eating habits among various demographic groups (Smith & Raab, 2020). The second hypothesis suggests that the primary motivator for choosing junk food is its affordability. Poor diet choices have often been linked to economic factors, where individuals opt for cheaper food options, primarily due to budget constraints (Havard et al., 2019).
Data Collection Method
The data collection will take place at Costco Wholesale, a popular retail chain, where a diverse pool of customers can be surveyed. Random sampling will be employed to minimize biases and ensure a representative sample. Customers will be asked how often they typically consume junk food and their reasons for these consumption patterns. This approach will allow for gathering relevant data efficiently, and adherence to ethical standards will be maintained by ensuring participant anonymity.
Statistical Tools
To analyze the gathered data, descriptive statistics will be utilized. These will include calculating the mean, median, maximum, minimum, and range to summarize the frequency of junk food consumption accurately (McClave & Sincich, 2018). For instance, analyzing the mean consumption frequency will shed light on how often respondents are engaging in junk food consumption. The inferential statistics tools, such as bar charts and pie charts, will help visualize the data and identify trends or patterns in junk food consumption and reasons for these choices (Field, 2018).
Survey Questions
The survey will include the following key questions:
- Question 1: How often do you have junk food per week? (This captures quantitative data.)
- Question 2: What’s your age? (This will also be quantitative data.)
- Question 3: Why do you choose to eat junk food? (This captures categorical data.) The options will be:
- a. Have no time to cook
- b. Prefer to eat
- c. Affordable price
By analyzing these questions, the research may discover whether there is a linear correlation between the age of respondents and the frequency of junk food consumption, providing valuable insights into dietary habits across different age groups.
Expected Outcomes
The expected outcome from this research is supporting the initial hypothesis that about 50% of Americans consume junk food regularly and validating the claim that the main reason for this consumption is the affordability of such products. These findings could spark discussions around health policies and nutritional education, emphasizing the need for healthier food options that are economically accessible to the public.
Conclusion
In conclusion, this research proposal outlines the need to understand the factors influencing junk food consumption among Americans. The insights gained from this survey will provide a deeper understanding of dietary trends and could lead to significant policy recommendations aimed at improving public health.
References
- Field, A. (2018). Discovering Statistics Using IBM SPSS Statistics. Sage.
- Havard, C., Moyer, C., & Reardon, T. (2019). The Impact of Economic Constraints on Food Choices. Food Choices Journal, 28(3), 213-226.
- McClave, J. T., & Sincich, T. (2018). Statistics. Pearson.
- Smith, K. M., & Raab, J. M. (2020). Eating Habits and Health: A Study of American Diets. American Journal of Health Studies, 35(1), 12-20.
- Gundersen, C. & Ziliak, J. P. (2015). Food Insecurity, Food Stamp Participation, and Child Health. Journal of Health Economics, 35, 43-54.
- Pérez-Escamilla, R., & Segall, A. (2011). Food Security and Diabetes: The Role of Environmental and Behavioral Factors. American Diabetes Association.
- Richards, T. J., & Gempesaw, C. M. (2019). Price and Health: Connections to Grocery Store Choices. American Journal of Agricultural Economics, 101(5), 1400-1415.
- Locke, A., & Williams, A. (2020). Fast Food and Its Impact on the American Diet. Global Journal of Health Science, 12(3), 45-56.
- Cheng, Y., & Clements, A. (2018). Understanding Consumer Behavior Around Food Choice. International Food Research Journal, 25(6), 2215-2223.
- Frerichs, L., & Hodge, A. (2019). The Influence of Socioeconomic Factors on Food Consumption Patterns: A Statistical Approach. Journal of Nutrition Educattion and Behavior, 51(4), 496-502.