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The inferential statistics is used to compare the sample sets and estimate the probability that they belong to truly different populations as opposed to be different just due to a random chance. P-value is the outcome of a statistical calculation. P stands for probability. The 'p-value' always between 0 and 1. The p-value of 0 means that an event never occurs, and p-value of 1 means that an event occurs always. In biomedical scinces, a p-value of 0.05 or less is usually considered significant (meaning the differences in the data are likely not due to chance, the sample(s) are not from the same population, and the observed differences are likely real). Value: 1 The p value of 0.03 indicates significant difference in biomedical sciences. True False Check Answer

The inferential statistics is used to compare the sample sets and estimate the probability that they belong to truly different populations as opposed to be different just due to a random chance. P-value is the outcome of a statistical calculation. P stands for probability. The 'p-value' always between 0 and 1. The p-value of 0 means that an event never occurs, and p-value of 1 means that an event occurs always. In biomedical scinces, a p-value of 0.05 or less is usually considered significant (meaning the differences in the data are likely not due to chance, the sample(s) are not from the same population, and the observed differences are likely real). Value: 1 The p value of 0.03 indicates significant difference in biomedical sciences. True False Check Answer

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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The inferential statistics is used to compare the sample sets and estimate the probability that they belong to truly different populations as opposed to be different just due to a random chance. P-value is the outcome of a statistical calculation. P stands for probability. The 'p-value' always between 0 and 1. The p-value of 0 means that an event never occurs, and p-value of 1 means that an event occurs always. In biomedical sciences, a p-value of 0.05 or less is usually considered significant (meaning the differences in the data are likely not due to chance, the sample(s) are not from the same population, and the observed differences are likely real). **Value: 1** --- **The p value of 0.03 indicates significant difference in biomedical sciences.** - True - False *Check Answer* --- Tails is a statistical parameter that used in statistical significance testing. There are one-tailed and two-tailed options for statistical test. The one-tailed option is used when the hypothesis predicts not only difference between the sample, but also the direction of this difference. By other words, it predicts that the value from one sample is higher than the value from another. If the hypothesis is nondirectional, a two-tailed option is used.
Transcribed Image Text:The inferential statistics is used to compare the sample sets and estimate the probability that they belong to truly different populations as opposed to be different just due to a random chance. P-value is the outcome of a statistical calculation. P stands for probability. The 'p-value' always between 0 and 1. The p-value of 0 means that an event never occurs, and p-value of 1 means that an event occurs always. In biomedical sciences, a p-value of 0.05 or less is usually considered significant (meaning the differences in the data are likely not due to chance, the sample(s) are not from the same population, and the observed differences are likely real). **Value: 1** --- **The p value of 0.03 indicates significant difference in biomedical sciences.** - True - False *Check Answer* --- Tails is a statistical parameter that used in statistical significance testing. There are one-tailed and two-tailed options for statistical test. The one-tailed option is used when the hypothesis predicts not only difference between the sample, but also the direction of this difference. By other words, it predicts that the value from one sample is higher than the value from another. If the hypothesis is nondirectional, a two-tailed option is used.
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