DATABASE FUNDAMENTALS
TYPES OF DATA
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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accept the null hypothesis
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reject the null hypothesis
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be at least 95% sure that something is not happening to chance
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be at least 10% sure that something is happening to chance
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know that nothing significant is going on with our results
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Detailed explanation-1: -In accordance with the conventional acceptance of statistical significance at a P-value of 0.05 or 5%, CI are frequently calculated at a confidence level of 95%. In general, if an observed result is statistically significant at a P-value of 0.05, then the null hypothesis should not fall within the 95% CI.
Detailed explanation-2: -P > 0.05 is the probability that the null hypothesis is true. 1 minus the P value is the probability that the alternative hypothesis is true. A statistically significant test result (P ≤ 0.05) means that the test hypothesis is false or should be rejected. A P value greater than 0.05 means that no effect was observed.
Detailed explanation-3: -A p-value of 0.05 or less means that, if the null hypothesis were true, the probability of seeing the observed differences, or more extreme differences, is 5% or less, assuming that the results are not distorted by bias or confounding.
Detailed explanation-4: -Mathematical probabilities like p-values range from 0 (no chance) to 1 (absolute certainty). So 0.5 means a 50 per cent chance and 0.05 means a 5 per cent chance. In most sciences, results yielding a p-value of . 05 are considered on the borderline of statistical significance.