Hypothesis Testing in Data Analysis
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Questions and Answers

What is the purpose of hypothesis testing in statistics?

  • To visualize data patterns
  • To determine sample data accuracy
  • To make assumptions about population parameters (correct)
  • To directly calculate population parameters
  • Which of the following statements best describes the null hypothesis?

  • It focuses on proving relationships in the data.
  • It states there is no significant difference or effect in the population. (correct)
  • It always assumes a change or difference between groups.
  • It represents the alternative viewpoint to the null hypothesis.
  • What does the alternative hypothesis represent?

  • A lack of evidence in the sample data.
  • A default assumption in statistical testing.
  • A significant difference, effect, or relationship in the population. (correct)
  • An assumption of no change or effect.
  • In hypothesis testing, what does H0 typically assume?

    <p>No change, effect, or difference in the population.</p> Signup and view all the answers

    Which hypothesis serves as the default assumption in hypothesis testing?

    <p>Null Hypothesis (H0)</p> Signup and view all the answers

    If a researcher states 'H1: The new drug has an effect on reducing blood pressure,' what does this imply?

    <p>There is a significant relationship between the drug and blood pressure.</p> Signup and view all the answers

    What role does the alternate hypothesis play in hypothesis testing?

    <p>It represents what the researcher is trying to find evidence for.</p> Signup and view all the answers

    Which hypothesis asserts 'There is no difference in the mean exam scores between Group A and Group B'?

    <p>'H0'</p> Signup and view all the answers

    'H0' often states that:

    <p>'There is no change, no effect, or no difference between groups being compared.'</p> Signup and view all the answers

    'H1: There is a positive correlation between hours of study and exam performance' is an example of:

    <p>'Alternative Hypothesis'</p> Signup and view all the answers

    What is the significance level used as a common threshold for rejecting the null hypothesis?

    <p>0.05</p> Signup and view all the answers

    What is the purpose of hypothesis testing?

    <p>To determine if there is enough evidence to reject the null hypothesis in favor of the alternative hypothesis</p> Signup and view all the answers

    Which test statistic is used when the population standard deviation is unknown for hypothesis testing about a population mean?

    <p>t-score</p> Signup and view all the answers

    Which of the following is true about the significance level (alpha) in hypothesis testing?

    <p>It is typically set at 0.05 but can vary based on context</p> Signup and view all the answers

    What determines the critical value in hypothesis testing using a t-statistic?

    <p>Degrees of freedom</p> Signup and view all the answers

    What is Type I Error in hypothesis testing?

    <p>The incorrect rejection of a true null hypothesis</p> Signup and view all the answers

    How is Type II Error characterized in hypothesis testing?

    <p>Failing to reject a false null hypothesis</p> Signup and view all the answers

    For a two-tailed test at a significance level of 0.01, what approximate critical t-values should be used for 25 degrees of freedom?

    <p>+/-2.576</p> Signup and view all the answers

    In testing hypotheses about a population variance, what does the null hypothesis state?

    <p>The population variance is equal to a specific value.</p> Signup and view all the answers

    What happens to the probability of Type I error if the significance level (?) decreases?

    <p>It decreases</p> Signup and view all the answers

    What is the power of a test in hypothesis testing?

    <p>The ability to correctly reject a false null hypothesis</p> Signup and view all the answers

    If the absolute value of the calculated t-score is less than the critical t-value, what decision is made in hypothesis testing?

    <p>Fail to reject the null hypothesis</p> Signup and view all the answers

    What happens if the z-value in a left-tailed test is found to be 1.96?

    <p>Reject the null hypothesis</p> Signup and view all the answers

    When is testing hypotheses about a population mean using the z-statistic common?

    <p>When the population standard deviation (?) is known</p> Signup and view all the answers

    What does a right-tailed test imply when comparing a calculated z-value to a critical z-value?

    <p>?z? &gt; z??</p> Signup and view all the answers

    What statistic is used to test hypotheses about a population variance?

    <p>?2 statistic</p> Signup and view all the answers

    In a two-tailed test with a calculated t-score of 1.788 and critical t-value of ±1.678, what decision would be made?

    <p>-1.788 &gt; 1.678 or -1.788 &lt; -1.678</p> Signup and view all the answers

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