Heart Rate Dataset in Excel Essay

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Heart Rate Dataset in Excel Essay

Heart Rate Dataset in Excel Essay

Use the classification of variables from the Unit 1 assignment to match each variable to one appropriate type of graph.
Create graphs of those variables
Give a brief written description of how the values of each variable are distributed in the sample. What does the graph tell us about the data in the heart rate sample? Heart Rate Dataset in Excel Essay
Open the Heart Rate Dataset in Excel
Using the classification of variables from Unit 1 assignment as qualitative, quantitative discrete, or quantitative continuous, match each of the 3 variables to the most appropriate graph type. (For example, qualitative data can best be displayed with a pie chart or bar graph; continuous numerical data can best be displayed using a histogram)
Use the graphing functions in Excel to create an appropriate graph of the data for each variable. Remember to properly label and title your graphs to identify what the graph is about clearly.
Review these videos as needed:

Excel 2016: Creating a Pie Chart
(Tom Kleen, 2017)
Estimated time to complete: 9 minutes

Making a Simple Bar Graph in Excel
(Scott Stevens, 2014)
Estimated time to complete: 5 minutes

Additional Instructions:
Your assignment should be typed into a Word or other word processing document, formatted in APA style. The assignments must include Heart Rate Dataset in Excel Essay

Running head
A title page with
Assignment name
Your name
Professor’s name
Estimated time to complete: 3 hours

Scott Stevens. (, 2014). Making a simple bar graph in Excel [Video]. Retrieved from https://youtu.be/_Txpfyn4ipI

Tom Kleen. (2017). Excel 2015: Creating a pie chart [Video]. Retrieved from https://youtu.be/ZKa35Iz-aZ4

Assignment Files
Heart Rate Data SetPreview the document [Excel File]

Open the Heart Rate Dataset in Excel Sort the quantitative variables by class (e.g., Male at-rest heart rate and Female at-rest heart rate) Use the Data Analysis tools of Excel to calculate each of the following statistics: Mean of each quantitative variable Sample variance of each quantitative variable Sample standard deviation of each quantitative variable Create a table in Excel that summarizes the statistics for each variable. Transfer your summary results to Word, and briefly explain your calculated results. Heart Rate Dataset in Excel Essay

Data are a set of facts, and provide a partial picture of reality. Whether data are being collected with a certain purpose or collected data are being utilized, questions regarding what information the data are conveying, how the data can be used, and what must be done to include more useful information must constantly be kept in mind.

Since most data are available to researchers in a raw format, they must be summarized, organized, and analyzed to usefully derive information from them. Furthermore, each data set needs to be presented in a certain way depending on what it is used for. Planning how the data will be presented is essential before appropriately processing raw data.

First, a question for which an answer is desired must be clearly defined. The more detailed the question is, the more detailed and clearer the results are. A broad question results in vague answers and results that are hard to interpret. In other words, a well-defined question is crucial for the data to be well-understood later. Heart Rate Dataset in Excel Essay Once a detailed question is ready, the raw data must be prepared before processing. These days, data are often summarized, organized, and analyzed with statistical packages or graphics software. Data must be prepared in such a way they are properly recognized by the program being used. The present study does not discuss this data preparation process, which involves creating a data frame, creating/changing rows and columns, changing the level of a factor, categorical variable, coding, dummy variables, variable transformation, data transformation, missing value, outlier treatment, and noise removal.

We describe the roles and appropriate use of text, tables, and graphs (graphs, plots, or charts), all of which are commonly used in reports, articles, posters, and presentations. Furthermore, we discuss the issues that must be addressed when presenting various kinds of information, and effective methods of presenting data, which are the end products of research, and of emphasizing specific information. Heart Rate Dataset in Excel Essay