Category: Engineering Data Analysis

What is Probability? Probability measures how likely it is for an event to occur. For example, determining the chance of a coin landing on heads

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

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

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

Objective: To analyze the timing of Facebook posts from the ISAP – Computer Engineering Department and investigate how posting time affects user engagement. Background: The

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

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

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

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

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