In order to understand what analternate hypothesis(also called analternative hypothesis) is, you first need to understand what thenull hypothesismeans. The wordhypothesismeansa working statement.In statistics, we’re interested in proving whether a working statement (the null hypothesis) is true or ...
Hypothesis testing is a vital process ininferential statisticswhere the goal is to usesampledata to draw conclusions about an entirepopulation. In the testing process, you use significance levels and p-values to determine whether the test results are statistically significant. You hear about results ...
The main purpose of statistics is to test a hypothesis. For example, you might run an experiment and find that a certain drug is effective at treating headaches. But if you can’t repeat that experiment, no one will take your results seriously. A good example of this was the cold fusion...
Many college students are required to take statistics courses for their majors. Hypothesis testing is often taught as the last part of such a course and in a sense becomes the goal of the course. Statistics instructors receive mixed messages about their students' understanding of hypothesis testing...
to fully understand how successful your marketing efforts are, you’ll need to engage in some data science to find the stories in the numbers. Savvy marketers know how to use the right insight tools to uncover actions from raw statistics – and put what they learn to use in future ...
problems require us to find the number ofdegrees of freedom. The number of degrees of freedom selects a singleprobability distributionfrom among infinitely many. This step is an often overlooked but crucial detail in both the calculation of confidence intervalsand the workings ofhypothesis tests...
So you need to find the p-value for your hypothesis test. To do so, employ the spreadsheet program Microsoft Excel. Using a simple formula, you can easily determine the p-value for your tests and thereby conclude strong or weak support of the null hypoth
In a nutshell, the greater the difference between two observed values, the less likely it is that the difference is due to simple random chance, and this is reflected by a lower p-value. What Is the Significance of a P-Value? The p-value approach to hypothesis testing uses the calculated...
How to State the Null Hypothesis from a Word Problem You’ll be asked to convert a word problem into ahypothesisstatement in statistics that will include a null hypothesis and analternate hypothesis. Breaking your problem into a few small steps makes these problems much easier to handle. ...
Probability and Statistics>Sampling> What is a Sample? In statistics, you’ll be working with samples — a part of apopulation. For example, if you want to find out how much the average American earns, you aren’t going to want to survey everyone in the population (over 300 million peop...