Statistical Significance and Meaningfulness

I’m working on a Statistics question and need guidance to help me study.

For this Discussion, you will explore statistical significance and meaningfulness

Review the American Statistical Association’s press release and consider the misconceptions and misuse of p-values.

  • Consider the scenario:
    • A research paper claims a meaningful contribution to the literature based on finding statistically significant relationships between predictor and response variables. In the footnotes, you see the following statement, “given this research was exploratory in nature, traditional levels of significance to reject the null hypotheses were relaxed to the .10 level.”
    • Post your response to the scenario in which you critically evaluate this footnote. As a reader/reviewer, what response would you provide to the authors about this footnote? 500 words or more
      Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.

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    Statistical Significance and Meaningfulness

    I’m working on a Statistics question and need guidance to help me study.

    For this Discussion, you will explore statistical significance and meaningfulness

    Review the American Statistical Association’s press release and consider the misconceptions and misuse of p-values.

    • Consider the scenario:
      • A research paper claims a meaningful contribution to the literature based on finding statistically significant relationships between predictor and response variables. In the footnotes, you see the following statement, “given this research was exploratory in nature, traditional levels of significance to reject the null hypotheses were relaxed to the .10 level.”
      • Post your response to the scenario in which you critically evaluate this footnote. As a reader/reviewer, what response would you provide to the authors about this footnote? 500 words or more
        Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.

      Get help with your complex tasks from our writing experts

      When you have no idea what to do with your written assignments, use a reliable paper writing service. Now you don’t need to worry about the deadlines, grades, or absence of ideas. Place an order on our site to get original papers for a low price.

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      Statistical Significance and Meaningfulness

      I’m working on a Statistics question and need guidance to help me study.

      For this Discussion, you will explore statistical significance and meaningfulness

      Review the American Statistical Association’s press release and consider the misconceptions and misuse of p-values.

      • Consider the scenario:
        • A research paper claims a meaningful contribution to the literature based on finding statistically significant relationships between predictor and response variables. In the footnotes, you see the following statement, “given this research was exploratory in nature, traditional levels of significance to reject the null hypotheses were relaxed to the .10 level.”
        • Post your response to the scenario in which you critically evaluate this footnote. As a reader/reviewer, what response would you provide to the authors about this footnote? 500 words or more
          Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.

        Get help with your complex tasks from our writing experts

        When you have no idea what to do with your written assignments, use a reliable paper writing service. Now you don’t need to worry about the deadlines, grades, or absence of ideas. Place an order on our site to get original papers for a low price.

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        Statistical Significance and Meaningfulness

        In Week 4, you explored how the confidence interval helps to estimate a population mean. Hypothesis testing is an approach that allows us to make some determination about whether a hypothesis should be rejected, based upon sample statistics. This approach is integral to the scientific method and provides us with a measurable level of certainty when making inferences back to the population.

        Consider the following:
        A researcher is conducting work on social inequality and wants to know whether there are marked differences between the socioeconomic status of Caucasians and Non-Caucasians. Since the researcher cannot measure the entire population, a sample is drawn and a hypothesis can be constructed and evaluated as to whether any noticeable differences in the sample also likely appear in the population.
        As a scholar-practitioner, it will be important for you to develop your knowledge and skillset in hypothesis testing. As evident in the scenario provided, hypothesis testing establishes a process to determine the probability of observing similar scores noted in the sample under the null hypothesis.
        For this week, you will examine hypothesis testing and determine the statistical significance and meaningfulness in the data. You also will explore the results of data to determine implications for social change.
        Learning Objectives
        Students will:
        Evaluate statements related to null hypothesis
        Evaluate p-values
        Evaluate type I and type II errors
        Evaluate for meaningfulness
        Evaluate statistical significance
        Evaluate sample size
        Analyze implications for social change

        Discussion: Statistical Significance and Meaningfulness
        Once you start to understand how exciting the world of statistics can be, it is tempting to fall into the trap of chasing statistical significance. That is, you may be tempted always to look for relationships that are statistically significant and believe they are valuable solely because of their significance. Although statistical hypothesis testing does help you evaluate claims, it is important to understand the limitations of statistical significance and to interpret the results within the context of the research and its pragmatic, “real world” application.

        As a scholar-practitioner, it is important for you to understand that just because a hypothesis test indicates a relationship exists between an intervention and an outcome, there is a difference between groups, or there is a correlation between two constructs, it does not always provide a default measure for its importance. Although relationships are significant, they can be very minute relationships, very small differences, or very weak correlations. In the end, we need to ask whether the relationships or differences observed are large enough that we should make some practical change in policy or practice.
        For this Discussion, you will explore statistical significance and meaningfulness.
        To prepare for this Discussion:
        Review the Learning Resources related to hypothesis testing, meaningfulness, and statistical significance.
        Review Magnusson’s web blog found in the Learning Resources to further your visualization and understanding of statistical power and significance testing.
        Review the American Statistical Association’s press release and consider the misconceptions and misuse of p-values.
        Consider the scenario:
        A research paper claims a meaningful contribution to the literature based on finding statistically significant relationships between predictor and response variables. In the footnotes, you see the following statement, “given this research was exploratory in nature, traditional levels of significance to reject the null hypotheses were relaxed to the .10 level.”

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        When you have no idea what to do with your written assignments, use a reliable paper writing service. Now you don’t need to worry about the deadlines, grades, or absence of ideas. Place an order on our site to get original papers for a low price.

        Order Now