What are the null and alternative hypotheses?
A hypothesis test uses sample data to determine whether to reject the null hypothesis. The null hypothesis states that a population parameter (such as the mean, the standard deviation, and so on) is equal to a hypothesized value. The alternative hypothesis is what you might believe to be true or hope to prove true.
How do you determine whether an alternative hypothesis is one sided or two sided?
A one-tailed test is a statistical test in which the critical area of a distribution is one-sided so that it is either greater than or less than a certain value, but not both. If the sample being tested falls into the one-sided critical area, the alternative hypothesis will be accepted instead of the null hypothesis.
Are null and alternative hypotheses statements about populations or samples or does it depend on the situation?
It is needed to find and explain that are null and alternative hypotheses statements about samples, about populations, or does it depend on the situation. Alternative hypothesis is what the researchers are interested in showing to be true, it is sometimes called the research hypothesis.
What is an alternative hypothesis quizlet?
a statement about the value of a population parameter, in case of two hypotheses, the statement assumed to be true is called the null hypothesis (notation H0) and the contradictory statement is called the alternative hypothesis (notation Ha).
How do you determine whether or not to reject the null hypothesis quizlet?
To determine whether a result is statistically significant, a researcher would have to calculate a p-value, which is the probability of observing an effect given that the null hypothesis is true. The null hypothesis is rejected if the p-value is less than the significance or α level.
What does the null hypothesis state?
What Is a Null Hypothesis? A null hypothesis is a type of hypothesis used in statistics that proposes that there is no difference between certain characteristics of a population (or data-generating process). For example, a gambler may be interested in whether a game of chance is fair.
Do not reject null hypothesis means?
Failing to reject the null indicates that our sample did not provide sufficient evidence to conclude that the effect exists. However, at the same time, that lack of evidence doesn’t prove that the effect does not exist. Capturing all that information leads to the convoluted wording!
What is Chi-Square t-test and F test?
The chi-square goodness-of-fit test can be used to evaluate the hypothesis that a sample is taken from a population with an assumed specific probability distribution. An F-test can be used to evaluate the hypothesis of two identical normal population variances.