In This Assignment, You Will Be Required To Use The Heart ✓ Solved
In this assignment, you will be required to use the Heart
In this assignment, you will be required to use the Heart Rate Dataset to complete the following: 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?
Steps: Open the Heart Rate Dataset in Excel. Using the classification of variables from the Unit 1 assignment as qualitative, quantitative discrete, or quantitative continuous, match each of the 3 variables to the most appropriate graph type. 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.
Your assignment should be typed into a Word or other word processing document, formatted in APA style. The assignments must include a title page with Assignment name, Your name, Professor’s name, and Course.
Paper For Above Instructions
The Heart Rate Dataset provides a crucial foundation for understanding how different variables can be represented graphically and what insights they can offer. This paper will match variables from the dataset to appropriate graph types, create those graphs using Excel, and analyze the distribution of the values represented in each graph.
1. Overview of the Heart Rate Dataset
The Heart Rate Dataset typically contains variables related to heart rate metrics, such as heart rate, age, and activity levels. For the purpose of this assignment, we can categorize these variables into qualitative and quantitative types:
- Qualitative Variable: Activity Level (e.g., sedentary, moderate, active)
- Quantitative Discrete Variable: Age (e.g., number of years)
- Quantitative Continuous Variable: Heart Rate (e.g., beats per minute)
2. Selecting Appropriate Graph Types
Based on the classifications above, we can select the following appropriate graph types:
- Activity Level (Qualitative): Bar Graph
- Age (Quantitative Discrete): Pie Chart
- Heart Rate (Quantitative Continuous): Histogram
3. Creating Graphs Using Excel
To create the graphs, the Heart Rate Dataset will be opened in Excel. Below are the steps taken to create each graph:
3.1 Bar Graph for Activity Level
1. The category of activity levels was inputted into Excel along with corresponding frequencies.
2. Using the 'Insert' menu, a bar graph was selected and generated based on the input data.
3. The graph was labeled as "Activity Levels Distribution", ensuring proper titles and labels were included for clarity.
3.2 Pie Chart for Age
1. Age data was summarized into categories to fit a pie chart representation.
2. The pie chart option was selected under the 'Insert' menu, and the chart was generated accordingly.
3. The pie chart was labeled as "Age Distribution", with each segment clearly marked.
3.3 Histogram for Heart Rate
1. The heart rate data was entered, and the 'Data Analysis' tool was utilized to create bins for the histogram.
2. A histogram graph was created from the prepared data.
3. It was titled "Heart Rate Distribution", with axes clearly labeled for understanding.
4. Analyzing the Graphs
Each graph created not only represents the data visually but also offers insights into our sample:
4.1 Bar Graph Analysis
The bar graph displaying activity levels indicates the distribution of different activity categories among participants. If the bar for "Active" is significantly taller than "Sedentary", it suggests that most individuals in the sample lead an active lifestyle, which may correlate with lower average heart rates.
4.2 Pie Chart Analysis
The pie chart for age distribution shows the proportion of participants in various age groups. A balanced pie chart with various segments might indicate a diverse sample in terms of age, which allows for broader interpretation of heart rate data across life stages. For instance, if older age groups constitute a larger portion, this could reflect age-related trends in heart rate.
4.3 Histogram Analysis
The histogram for heart rate details how participants' heart rates are distributed across varying ranges. A normal distribution would suggest healthy heart rates across the sample, while skewness either way might indicate the presence of outliers or health conditions effecting heart rates.
5. Conclusion
In conclusion, by using the Heart Rate Dataset and applying appropriate graph types, we can gain valuable insights into the data. The proper classification and visualization of these variables not only help in understanding the data better but also enable meaningful interpretations that can drive further research and analysis in health and fitness domains.
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