Practice Statistical Inference and Hypothesis Testing - 4 | 4. Statistical Inference and Hypothesis Testing | Data Science Advance
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4 - Statistical Inference and Hypothesis Testing

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define Statistical Inference.

πŸ’‘ Hint: Think about the relationship between samples and populations.

Question 2

Easy

What is a null hypothesis?

πŸ’‘ Hint: It serves as a starting assumption in hypothesis testing.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is the primary purpose of hypothesis testing?

  • To confirm a hypothesis
  • To validate a sample finding
  • To draw conclusions about a population

πŸ’‘ Hint: Think about what we do after collecting sample data.

Question 2

True or False: A p-value tells us the probability that the null hypothesis is true.

  • True
  • False

πŸ’‘ Hint: Recall what p-values are measuring.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

A researcher wants to test if a new study program improves test scores. They find the average score in the sample is 82, compared to the known population mean of 76. If the standard deviation is 10, conduct a hypothesis test to see if this change is statistically significant at Ξ± = 0.05.

πŸ’‘ Hint: Remember the relationship between sample mean, population mean, standard deviation, and sample size.

Question 2

In a study comparing three different diets, researchers collect data on weight loss over a month. Use ANOVA to determine if there's a significant difference among the diet groups with given means and standard deviations. Provide steps for this analysis.

πŸ’‘ Hint: Think about how ANOVA divides the total variability into different components.

Challenge and get performance evaluation