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Related Concept Videos

P-value01:10

P-value

9.3K
P-value is one of the most crucial concepts in statistics.
P-value stands for the probability value.  P-value is the probability that, if the null hypothesis is true, the results from another randomly selected sample will be as extreme or more extreme as the results obtained from the given sample.
A large P-value calculated from the data indicates to  not reject the null hypothesis. But a higher P-value does not mean that the null hypothesis is true. The smaller the P-value, the more...
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Decision Making: Traditional Method01:14

Decision Making: Traditional Method

5.7K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
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Critical Region, Critical Values and Significance Level01:16

Critical Region, Critical Values and Significance Level

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The critical region, critical value, and significance level are interdependent concepts crucial in hypothesis testing.
In hypothesis testing, a sample statistic is converted to a test statistic using z, t, or chi-square distribution. A critical region is an area under the curve in  probability distributions demarcated by the critical value. When the test statistic falls in this region, it suggests that the null hypothesis must be rejected. As this region contains all those values of the...
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Decision Making: P-value Method01:09

Decision Making: P-value Method

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The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
7.1K
Testing a Claim about Mean: Unknown Population SD01:21

Testing a Claim about Mean: Unknown Population SD

6.4K
A complete procedure of testing a hypothesis about a population mean when the population standard deviation is unknown is explained here.
Estimating a population mean requires the samples to be approximately normally distributed. The data should be collected from the randomly selected samples having no sampling bias. There is no specific requirement for sample size. But if the sample size is less than 30, and we don't know the population standard deviation, a different approach is used;...
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Statistical Hypothesis Testing01:16

Statistical Hypothesis Testing

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Hypothesis testing is a critical statistical procedure facilitating informed, evidence-based decisions. It begins with a hypothesis, which is a tentative explanation, or a prediction about a population parameter. This hypothesis can be either a null hypothesis (H0), indicating no effect or difference, or an alternative hypothesis (Ha), suggesting an effect or difference.
Statistical significance measures the probability that an observed result occurred by chance. If this probability, known as...
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Related Experiment Video

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Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
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Predicting the value of a test.

A P Schneider, T J McCormally

    Postgraduate Medicine
    |May 31, 2016
    PubMed
    Summary

    Physicians can submit commentaries and brief essays for publication consideration. Accepted articles receive a $75 honorarium, with submissions directed to POSTGRADUATE MEDICINE.

    Area of Science:

    • Medical Commentaries
    • Physician Essays
    • Clinical Insights

    Background:

    • Postgraduate Medicine seeks diverse physician perspectives.
    • Opportunities for scholarly communication are valued.
    • Physician engagement in medical discourse is encouraged.

    Purpose of the Study:

    • To solicit commentaries and brief essays from physicians.
    • To provide a platform for matters of interest to the medical community.
    • To encourage publication of physician-led insights.

    Main Methods:

    • Submissions are limited to five double-spaced typewritten pages.
    • Manuscripts should address topics relevant to physicians.
    • Editorial review will be conducted upon submission.

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    Main Results:

    • Accepted commentaries and essays will be published.
    • A $75 honorarium is provided for published material.
    • Publication offers a channel for professional recognition.

    Conclusions:

    • Physicians are invited to contribute their expertise.
    • This initiative fosters professional development and knowledge sharing.
    • Timely submissions are encouraged for consideration.