For this assignment, you will conduct a survey to answer a statistical question you develop. Recall that a statistical question will generate data that has variability. After your teacher approves your plan, you will conduct your survey, create graphs, summarize your findings, and answer the question you posed. Background Information When conducting a survey, ensure that the questions are unbiased. Develop and phrase the survey in a way that will not influence the participants to answer dishonestly. It is important to design the survey method with an element of randomization. Most often, selecting a sample using a random sampling procedure and allowing the participants to provide anonymous responses will enable you to collect meaningful data. Once the data are collected, they should be organized carefully. If the data are collected as counts for a categorical variable, the data should be listed in a table. If the data are collected by having each respondent answer two different questions providing counts for two categorical variables, the data should be organized in a two-way table. Categorical data are typically displayed in a bar graph, side-by side bar graph, segmented bar graph, mosaic plot, or pie graph. For example, if data are collected about the type of coffee purchased at a local coffee shop such as hot caffeinated, hot decaffeinated, iced coffee, tea, water, or juice, a bar graph might be a helpful display. If data are collected about two variables-whether the temperature is hot or cold, and the type of drink, such as caffeinated coffee, decaffeinated coffee, tea, water, or juice then a segmented bar graph might be a good choice to display the data after organizing them in a two-way table. If the data collected are quantitative, the data should be provided in an organized list and displayed in a histogram, stemplot, boxplot, or dotplot. For example, if students are surveyed and asked how many hours they studied for the most recent statistics test, the data are quantitative and measured in hours. These data could be well displayed in a histogram, stemplot, or boxplot In addition to the display, we compute summary statistics. These would be either the mean and standard deviation or the five-number summary and IQR. Use the mean and standard deviation if the distribution is reasonably described as mound shaped with no unusual features. Use the five- number summary and IOR if the data has unusual features such as a skewed distribution, outliers, or clusters. After the survey is complete and the data are organized and graphed, you can answer the question you posed. It is always important to support your conclusions with statistical evidence, which includes observations you make from your display(s), proportions you compute for categorical data, or the summary statistics you compute for quantitative data. You should also provide any other general observations you noticed