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How valid or reliable are the statistics presented on the evening news?
Wiki User
∙ 14y ago
Some news programs are more reliable than others. Also bear in mind, even when you are given accurate statistics, their interpretation may still be wrong.
Wiki User
∙ 14y ago
The validity and reliability of statistics presented on the evening news can vary. It's important to consider the sources of the data, the methodology used to collect and analyze the statistics, and whether any biases may be present. Fact-checking and seeking additional sources can help verify the accuracy of the statistics presented.
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A test may be reliable but not necessarily validIs it possible for a test to be valid but not reliable?
No, for a test to be valid, it must also be reliable. Reliability refers to the consistency of the test results, while validity refers to the accuracy of the test in measuring what it is supposed to measure. A test cannot be valid if it is not reliable.
What is the difference between a valid test and a reliable test?
Reliable indicates that each time the experiment is conducted, the same results are obtained (accuracy). Valid indicates the experiment (or test) has controlled variables and used an appropriate method/model.
Give an example of how a test may be reliable but not valid?
A bathroom scale that consistently shows your weight as 10 pounds less than your actual weight, but always produces the same result when you step on it multiple times, can be considered reliable (consistent) but not valid (accurate).
Why research should be valid and reliable?
Valid and reliable research ensures that the findings are accurate and trustworthy. Validity ensures that the study measures what it intends to measure, while reliability ensures that the results can be replicated and are consistent over time. Valid and reliable research is essential for building knowledge, making informed decisions, and driving future research.
Is validity is a prerequisite of reliability?
No, validity is not a prerequisite of reliability. Reliability refers to the consistency or stability of a measure, while validity refers to the accuracy of the measure in assessing what it is intended to assess. A measure can be reliable but not valid, meaning it consistently measures something but not necessarily what it is intended to measure.
Why is it possible to have a reliable measure that is not valid but impossible to have a valid measure that is not reliable?
A reliable measure is consistent and yields consistent results, so it may not be measuring the intended construct accurately (lack validity). On the other hand, a valid measure accurately assesses the intended construct, but it must be consistent and produce stable results (reliable) to ensure that the measurements are dependable and trustworthy.
Is a reliable test necessarily valid?
In my view reliable test is always valid.
Is it possible for an operational definition to be valid but not reliable?
Is it possible for an operational definition to be valid but not reliable
A test may be reliable but not necessarily validIs it possible for a test to be valid but not reliable?
No, for a test to be valid, it must also be reliable. Reliability refers to the consistency of the test results, while validity refers to the accuracy of the test in measuring what it is supposed to measure. A test cannot be valid if it is not reliable.
What is a valid conclusion based kn the information presented in the graphs?
a valid conclusion based on the information in the graph is that
Can a test be reliable and yet not valid?
A test may be reliable yet not valid, The results can end up being reliable, in other words certain to have yielded properly based on input. But the results may not be trustworthy.
Sampling techniques can provide statistically reliable and valid survey results except?
when there are errors in sampling design, such as biases in selecting participants or a non-representative sample, which can lead to inaccurate results.
What is the difference between slection crieteria and validity and reliability?
Social and Medical sciences uses these statistical concepts. ideally, we have to measure the same way each time, but intrasubject, interobserver and intraobserver variance occur, so we have to anticipate and evaluate them. In short, it is the repeatability of a measurement, by you, myself and everybody person or instrument. Validity is how much the mean measure that we got is near of the true answer or value. So, an instrument can be reliable but not valid, valid but not reliable, both valid and reliable, nor valid neither reliable. I suggest that you imagine a target: you can aim and 1) always get the center (both valid and reliable) 2) always get the same distant point (reliable but not valid) 3) err much around the true center (valid but not reliable - the mean and median of your arrow's shot will get the center) 4) err much around the another center, false one (nor valid neither reliable) I did not understood exactly what selection criteria have to do with the rest of question, so, left in blank ;-)
What type of form can be presented at airport if you don't have valid drivers license?
Passport.
Give an example of how a test may be reliable but not valid?
A bathroom scale that consistently shows your weight as 10 pounds less than your actual weight, but always produces the same result when you step on it multiple times, can be considered reliable (consistent) but not valid (accurate).
The constant rate used as a gauge in calculating the valid sample size?
statistics
Is a biased sample valid?
No because in statistics a biased collection of data is invalid.
