Hypothesis Testing: t-tests
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Questions and Answers

What is the purpose of conducting a t-test in hypothesis testing?

  • To analyze the variance within a sample.
  • To compare the means of one or two samples. (correct)
  • To assess the distribution of a population.
  • To determine the causal relationship between two variables.
  • Which term describes the outcome that is unlikely to happen by chance alone in hypothesis testing?

  • Sample
  • Probability
  • Statistical significance (correct)
  • Variance
  • In the context of hypothesis testing, what does the Central Limit Theorem (CLT) imply?

  • Sample means will approximate a normal distribution as sample size increases. (correct)
  • All population distributions are normal regardless of sample size.
  • Sample sizes must be greater than 100 for accurate results.
  • Variability decreases with increasing sample size.
  • What is the primary difference between a one-sample t-test and a two-sample independent t-test?

    <p>One tests means from two groups while the other tests one group's mean against a known value.</p> Signup and view all the answers

    What concept is crucial to assess the likelihood of observing data, if the null hypothesis is true?

    <p>Probability</p> Signup and view all the answers

    Study Notes

    Hypothesis Testing: t-tests

    • This is a course about performing and interpreting the results of one sample and two-sample independent t-tests.
    • The key competency is to be able to perform and interpret results of one sample and two-sample independent t-tests.
    • The course will focus on essential concepts like:
      • Sample
      • Same
      • Different
      • Chance
      • Probability
      • Significance
      • Statistical significance
    • Prior knowledge of the central limit theorem (CLT) is required.
      • This knowledge is used when the population variance is known.
      • The course will explore what to do when the population variance is unknown.

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    Hypothesis Testing: T-Tests PDF

    Description

    This quiz covers the essential concepts of performing and interpreting one-sample and two-sample independent t-tests. You'll explore key topics such as statistical significance and the role of chance and probability in hypothesis testing. Prior knowledge of the central limit theorem is essential for a comprehensive understanding of the material.

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