Alpha and P-value:The alpha and p-values are essential tools that you should consider when running any scientific methods. We use them to refine the accuracy of studies.Answer and Explanation: The p value would be used to determine whether it is reasonable to reject or not reject the null...
p-value = 0.257 ## alternative hypothesis: true mean is greater than 225 ## 95 percent confidence interval: ## 198.2321 Inf ## sample estimates: ## mean of x ## 241.5 ## 置信区间 ## (1)右侧 test <-t.test(x,mu=225,alternative="greater") test$conf ## [1] 198.2321 Inf ## attr...
If the p-value is > Alpha Risk, fail to reject the Ho (null hypothesis) If the p-value is < Alpha Risk, reject the Ho (null hypothesis) and the data can be assumed normal. Recall: Level of Confidence = 1 - alpha risk Higher and higher p-values means the results from the sample...
Answer:A weak or small p-value is when the p-value is less than 5% (P-Value < 0.05).It means the null hypothesis is true, indicating that there is no difference between datasets. In contrast, a strong or large p-value is when the p-value is more than 5% (P-Value > 0.05).It ...
cannot be deduced from aPvalue, no matter how large. 6. A null-hypothesisPvalue greater than 0.05 means that no effect was observed, or that absence of an effect was shown or demonstrated. No! ObservingP> 0.05 for the null hypothesis only means that the null is one among the many hypot...
Investment return and principal value of an investment will fluctuate so that an investor's shares, when sold or redeemed, may be worth more or less than the original cost. Current performance may be lower or higher than the performance quoted. Click here for Distribution data ...
When a p-value is significant, you ___ the null hypothesis.Suppose a researcher is testing the hypothesis H_0: p = 0.6 versus H_1: p greater than 0.6 and she finds the P-value to be 0.33 . a. Explain what this means. b. Would she ...
The threshold value for determining statistical significance is also known as the alpha value. Example: Statistical significance Your comparison of the two mouse diets results in apvalue of less than 0.01, below your alpha value of 0.05; therefore you determine that there is a statistically signific...
If {eq}p>\alpha {/eq}, then the difference in population means is not statistically significant. Since {eq}0.11>0.10 {/eq}, our p-value is greater than the significance level. This means that the observed difference in sample means is not statistically significant...
How to analyse the P-value? To analyze the P-value, you need to compare it with the level of significance or alpha value. If the P-value is less than the alpha value, then you reject the null hypothesis and accept the alternative hypothesis. If the P-value is greater than the...