Hypothesis testing is a branch of statistics in which, using data from a sample, an inference is made about a population parameter or a population probability distribution. Let’s look at the purpose ...

We can design studies to have particulat levels of power. We typically go for 80 or 90% power which mean 80% or 90% of the time, our study will correctly reject the null hypothesis. Sample size ...

The p-value depends on the sample size, the test statistic and the spread (usually standard deviation) of the samples. Let’s return to the example above. Our null hypothesis is: “The mean module mark ...

Confidence intervals and hypothesis tests are directly linked ... a p-value answers the question "How surprising is my sample?" The confidence interval can answer the question "What values of the ...

Successful completion of this course demonstrate your achievement of the following learning outcomes for the MS-DS program: Define a composite hypothesis and the level of significance for a test with ...

The first thing any scientist does before performing an experiment is to form a hypothesis about the experiment's outcome. This often takes the form of a null hypothesis, which is a statistical ...

A hypothesis is an idea about how something works that can be tested using experiments. A prediction says what will happen in an experiment if the hypothesis is correct. Presenter 1: We are going ...

A hypothesis is an idea about how something works that can be tested using experiments. A prediction says what will happen in an experiment if the hypothesis is correct. Presenter 1: We are going ...