PromptBase
🤖 GPT
Create a multiple-choice quiz on a given topic, with a specific number of questions and options for each question. The quiz should test the test-taker's knowledge and understanding of the topic, using the Remembering, Understanding, and Applying levels of the Revised Bloom's taxonomy. For each option in the quiz, you should provide a step-by-step explanation of why it is correct or incorrect. This will help the test-taker to understand why each option is the best or worst choice
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Over 1 month ago
Prompt Details
Model
Chat - GPT-3.5 (gpt-3.5-turbo)
Token size
60 ($0.00010 / call)
Example input
Create [number] multiple-choice quiz questions along with [number] to [number] options each from the [topic].
Example output
1. Which of the following is a key feature of data analytics?
A) Predictive modeling
B) Artificial intelligence
C) Data visualization
D) All of the above
Correct answer: C) Data visualization
Rationale: Data visualization is a key feature of data analytics, as it enables users to explore and understand data more easily through visual representations.
2. What is the difference between descriptive and inferential statistics?
A) Descriptive statistics summarize data while inferential statistics make predictions.
B) Descriptive statistics analyze data while inferential statistics test hypotheses.
C) Descriptive statistics apply to populations while inferential statistics apply to samples.
D) Descriptive statistics are objective while inferential statistics are subjective.
Correct answer: A) Descriptive statistics summarize data while inferential statistics make predictions.
Rationale: Descriptive statistics are used to describe and summarize data, while inferential statistics are used to make predictions or inferences about a larger population based on a sample.
3. You are analyzing a dataset to identify trends over time. Which type of analysis would be most appropriate?
A) Regression analysis
B) Time series analysis
C) Cluster analysis
D) Factor analysis
Correct answer: B) Time series analysis
Rationale: Time series analysis is used to identify trends over time in a dataset, making it the most appropriate choice for this scenario.