Collect, Organize, And Summarize Data

Collect Organize And Summarize The Data

Provide the raw data organized in a table or chart (this will be an Excel document). Describe your data set. Discuss your sampling technique and how you collected the data. If data is collected from the internet, provide the URL. If a survey was used, provide a copy of the survey. Construct a frequency distribution table for the variable of interest. Graph the frequency distribution in a frequency histogram. Interpret the results of the frequency histogram. What is the shape of the distribution? If the data is qualitative (categorical data), display data in a bar graph and pie chart. Interpret the results of the bar graph and pie chart.

Paper For Above instruction

The process of collecting, organizing, and summarizing data is fundamental in statistical analysis, enabling researchers to interpret and communicate findings effectively. This paper details the steps involved in data collection, organization, and analysis, emphasizing the creation of frequency distributions and visualizations such as histograms, bar graphs, and pie charts. The entire process is exemplified through a hypothetical dataset, illustrating how these methods facilitate understanding data patterns and characteristics.

Data Collection and Description

The dataset used for this analysis pertains to students' preferred modes of transportation. Data was collected through an online survey distributed among 150 university students via email and social media platforms. The sampling technique employed was convenience sampling, which involves selecting participants who are readily accessible. While this method is practical and cost-effective, it may introduce bias, limiting the generalizability of findings. The survey was designed to be quick and straightforward, asking participants to select their primary transportation mode from options such as walking, biking, driving, carpooling, and public transit. The URL for the online survey platform is https://www.surveymonkey.com/r/transportation-survey.

The raw data was organized in an Excel spreadsheet with two columns: participant ID and preferred transportation mode. The data was then categorized and tallied to facilitate further analysis.

Frequency Distribution Table

The frequency distribution table for the variable 'preferred mode of transportation' illustrates how often each mode was selected among the respondents:

Graphical Representation and Interpretation

A frequency histogram was constructed to visualize the distribution of preferences. The histogram revealed a unimodal distribution with a slight skewness towards driving, which was the most preferred mode. The distribution's shape appears roughly symmetric but slightly right-skewed, indicating that most students favor driving, with fewer opting for walking or biking. This insight suggests convenience and accessibility influence transportation choices among students.

For categorical data such as mode of transportation, bar graphs and pie charts are effective visual tools. The bar graph clearly depicts the comparative popularity of each transportation mode, with driving occupying the highest bar. The pie chart illustrates the proportional distribution, reinforcing that driving comprises over a third of responses, while walking and biking are less common alternatives. These visuals support interpretations that accessibility, comfort, and time efficiency are significant factors influencing transportation preferences among the surveyed group.

This systematic approach from data collection to visualization allows researchers to draw meaningful conclusions and identify trends within the dataset. Such techniques are essential in fields like marketing, public policy, and urban planning, where understanding stakeholder preferences directly impacts decision-making processes.

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