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3 days ago · The significance level is denoted by α and is the probability of rejecting the null hypothesis, if it is true. So, the probability of making this error. Typical values for α are 0.01, 0.05 and 0.1. It is a value that we select based on the certainty we need.
3 days ago · In this example, the one outlier essentially controlled the fit of the model. It’s easy to visualize outliers using scatterplots and residual plots. But how do we determine if outliers are influential? A statistic referred to as Cook’s D, or Cook’s Distance, helps us identify influential points.
3 days ago · Decision Rule. One important part of hypothesis testing is understanding how to determine if there is enough evidence to support your claim. There are two possible outcomes of hypothesis testing: Determine that there is sufficient evidence to suggest that the alternative hypothesis is true.
3 days ago · The statistics dictionary will display a definition for the term, plus links to related web pages. This online statistics dictionary takes the mystery out of statistical jargon. It includes all of the technical terms used on the Stat Trek website, explained (we hope) in plain English. In addition, most definitions include links to other web ...
3 days ago · Estimates of the true slope can vary from sample to sample. There can be a large difference in the slope from one sample to another. Our slope estimate, 0.5283, is a point estimate for the true, unknown slope. So we use a confidence interval to provide a range of values for the true slope.
1 day ago · Box plots help you identify interesting data points, or outliers. These values are plotted as data points and fall beyond the whiskers. Figure 8 shows a box plot that has three outliers, shown as red dots above the upper whisker. These three points are more than 1.5 times the IQR.
3 days ago · In research, there are two types of hypotheses: null and alternative. They work as a complementary pair, each stating that the other is wrong. Null Hypothesis (H0) – This can be thought of as the implied hypothesis. “Null” meaning “nothing.”.
