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PValue Easy Explanation
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Significance Level • The probability of rejecting the null hypothesis when the null hypothesis is true. • Also called alpha. • Significance level, is set to 0.05 (5%) or lower. • Significance level of 5% indicates a 5% risk of concluding that a difference exists when there is no actual difference. • It is set before starting the testing. • Probability Value / P-Value • A p value is used in hypothesis testing to help you support or reject the null hypothesis. The smaller the p-value, the stronger the evidence that you should reject the null hypothesis. • P value we calculate after a given study. • The level of statistical significance is often expressed as a p-value between 0 and 1. The smaller the p-value, the stronger the evidence that you should reject the null hypothesis. A p-value less than 0.05 (typically ≤ 0.05) is statistically significant. • What is Significance level in Research| What is P Value | Probability Value | Urdu/Hindi • what is significance level research • what is significance level in statistics • what is significance level in hypothesis testing • what is p value in research • what is p value in statistics • what is p value in hypothesis testing • significance level and p value • Psychology • Latif Rehmani • Learning • Teaching • Study • _____________/LINKS\\____________________________ • ► Facebook:➜ / latifrehmani57 • ► Twitter:➜ https://twitter.com/latifrehmani57?s=08 • ► Instagram:➜ https://www.instagram.com/invites/con... • ►G.mail➜[email protected] • ================================================ • #SignificanceLevel • #P_Value
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