STATISTICAL TECHNIQUES AND TOOLS
TESTS OF SIGNIFICANCE
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
|
|
Null hypothesis
|
|
|
Alternative hypothesis
|
|
|
Margin of error
|
|
|
Point estimate
|
Detailed explanation-1: -The alternative hypothesis is the claim to be tested, the opposite of the null hypothesis. It contains the value of the parameter that we consider plausible and is denoted as H1 . The test statistic is a value computed from the sample data that is used in making a decision about the rejection of the null hypothesis.
Detailed explanation-2: -In statistics, a hypothesis is a claim or statement about a property of a population. A hypothesis test (or test of significance) is a standard mathematical procedure for testing a claim about a property of a population.
Detailed explanation-3: -Rejecting a true null hypothesis is called a false positive, such as when a medical test says you have a disease when you do not.