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Related Concept Videos

Null and Alternative Hypotheses01:16

Null and Alternative Hypotheses

The actual hypothesis testing begins by considering two hypotheses. They are termed  the null hypothesis and the alternative hypothesis. These hypotheses contain opposing viewpoints.
The null hypothesis, denoted by H0 is a statement of no difference between the variables—they are not related. This can often be considered the status quo. As  a result if you cannot accept the null, it requires some action.
The alternative hypothesis, denoted by H1 or Ha, is a claim about the population that is...
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

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...
Errors In Hypothesis Tests01:14

Errors In Hypothesis Tests

When performing a hypothesis test, there are four possible outcomes depending on the actual truth (or falseness) of the null hypothesis and the decision to reject or not.
Types of Hypothesis Testing01:11

Types of Hypothesis Testing

There are three types of hypothesis tests: right-tailed, left-tailed, and two-tailed.
When the null and alternative hypotheses are stated, it is observed that the null hypothesis is a neutral statement against which the alternative hypothesis is tested. The alternative hypothesis is a claim that instead has a certain direction. If the null hypothesis claims that p = 0.5, the alternative hypothesis would be an opposing statement to this and can be put either p > 0.5, p < 0.5, or p ≠ 0.5.
Reliability and Validity01:29

Reliability and Validity

Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
Significance Testing: Overview01:04

Significance Testing: Overview

Significance testing is a set of statistical methods used to test whether a claim about a parameter is valid. In analytical chemistry, significance testing is used primarily to determine whether the difference between two values comes from determinate or random errors. The effect of a particular change in the measurement protocol, analyst, or sample itself can cause a deviation from the expected result. In the case of a suspected deviation/outlier, we need to be able to confirm mathematically...

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Related Experiment Video

Updated: May 15, 2026

Testing for Metacognitive Responding Using an Odor-based Delayed Match-to-Sample Test in Rats
08:06

Testing for Metacognitive Responding Using an Odor-based Delayed Match-to-Sample Test in Rats

Published on: June 18, 2018

A testing dilemma.

Elizabeth Lynch

    Nursing Standard (Royal College of Nursing (Great Britain) : 1987)
    |December 22, 2012
    PubMed
    Summary
    This summary is machine-generated.

    Nurse specialists support national breast cancer screening. Women should understand the benefits and risks before undergoing mammography screening.

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    Task Interruption and Resumption Paradigm for Testing the Activation and Pursuit of an Abstract Thinking Goal
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    Task Interruption and Resumption Paradigm for Testing the Activation and Pursuit of an Abstract Thinking Goal

    Published on: April 18, 2017

    Related Experiment Videos

    Last Updated: May 15, 2026

    Testing for Metacognitive Responding Using an Odor-based Delayed Match-to-Sample Test in Rats
    08:06

    Testing for Metacognitive Responding Using an Odor-based Delayed Match-to-Sample Test in Rats

    Published on: June 18, 2018

    Task Interruption and Resumption Paradigm for Testing the Activation and Pursuit of an Abstract Thinking Goal
    06:45

    Task Interruption and Resumption Paradigm for Testing the Activation and Pursuit of an Abstract Thinking Goal

    Published on: April 18, 2017

    Area of Science:

    • Oncology
    • Radiology
    • Public Health

    Background:

    • National breast cancer screening programs are widely implemented.
    • Recent studies have presented varying outcomes regarding screening efficacy and risks.
    • Nurse specialists play a crucial role in patient education and support within screening programs.

    Purpose of the Study:

    • To assess the continued support for national breast cancer screening among nurse specialists.
    • To emphasize the importance of informed consent and patient awareness regarding mammography.

    Main Methods:

    • A survey or qualitative analysis of nurse specialists' opinions on breast cancer screening.
    • Review of current literature and guidelines on breast cancer screening protocols.

    Main Results:

    • Nurse specialists maintain a positive stance on the necessity of national breast cancer screening.
    • There is a consensus on the need for comprehensive patient education prior to mammograms.

    Conclusions:

    • Continued support for national breast cancer screening by nurse specialists, despite conflicting research.
    • Highlighting the critical need for patient education on the advantages and disadvantages of mammography to ensure informed decision-making.