In your previous lessons, you’ve learned about central tendency, dispersion, and types of data. These are all crucial tools, but today we’re going to talk
Category: Engineering Data Analysis
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1. Qualitative Data (Categorical Data) 1.1 Nominal Data Examples: Discussion: Nominal data is crucial for classification and segmentation. In marketing, understanding brand preferences helps in
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Measures of dispersion, also known as measures of variability, describe how spread out the data points are in a dataset. While measures of central tendency
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Objective: To analyze the timing of Facebook posts from the ISAP – Computer Engineering Department and investigate how posting time affects user engagement. Background: The
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Part 1: Content Categorization Objective: Classify posts into specific content categories. Part 2: Descriptive Analysis by Content Category Objective: Analyze engagement metrics for each content
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Step 1: Define the Problem Step 2: Plan the Experiment Step 3: Conduct the Experiment Step 4: Analyze the Data Step 5: Make a Conclusion
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Conclusion Hypothesis testing in hardware evaluation provides a structured way to make decisions based on data. By setting clear hypotheses and using statistical methods to
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Step 1: Identify the Problem or Objective Step 2: State the Hypotheses Step 3: Choose the Significance Level (αα) Step 4: Determine the Test Type
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Hypothesis Testing in Hardware Evaluation and Testing 1. Reliability Testing Hypothesis testing can be used to evaluate the reliability of hardware components. Engineers might set
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Hypothesis testing is a statistical method used to make inferences or draw conclusions about a population based on a sample of data. It is widely