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  Encyclopedia of Keywords > Science > Mathematics > Statistics > Null Hypothesis > Hypothesis Test   Michael Charnine

Keywords and Sections
TWO-SAMPLE TEST
LOGRANK TEST
TRUE MEAN DISCHARGE
TESTING
TYPES
TYPE
MEANING
DESCRIPTIVE STATISTICS
LINEAR RELATIONSHIP
DIFFERENCE
CONFIDENCE INTERVAL
ALTERNATIVE HYPOTHESIS
STATISTICAL HYPOTHESIS TEST
NORMAL DISTRIBUTION
DISCRETE DATA
TRUE
ERROR
CONDUCT
RESULT
DISTRIBUTION
P-VALUE
NULL HYPOTHESIS
CRITICAL REGION
T-TEST
HYPOTHESIS
POPULATION MEANS
POPULATION MEAN
TEST
SIGNIFICANCE LEVEL
HYPOTHESIS TEST
Review of Short Phrases and Links

    This Review contains major "Hypothesis Test"- related terms, short phrases and links grouped together in the form of Encyclopedia article.

Definitions

  1. In a hypothesis test, a type I error occurs when the null hypothesis is rejected when it is in fact true; that is, H 0 is wrongly rejected. (Web site)
  2. In a hypothesis test, a type II error occurs when the null hypothesis H 0, is not rejected when it is in fact false. (Web site)
  3. Sign Up Hypothesis test is on Facebook Sign up for Facebook to connect with Hypothesis test.
  4. To obtain a hypothesis test, the likelihood ratio, LR, is compared to its sampling distribution under the null hypothesis.

Two-Sample Test

  1. Click OK in the Two-Sample Test for Variances dialog to perform the hypothesis test.

Logrank Test

  1. In statistics, the logrank test (sometimes called the Mantel–Cox test) is a hypothesis test to compare the survival distributions of two samples. (Web site)

True Mean Discharge

  1. Suppose that we want to carry out a hypothesis test to see if the true mean discharge differs from 6. (Web site)

Testing

  1. Summary In any hypothesis test we are testing the evidence to see if it is sufficient to reject the null hypothesis.

Types

  1. In a statistical hypothesis test, there are two types of incorrect conclusions that can be drawn.

Type

  1. In this type of hypothesis test, you determine whether the data "fit" a particular distribution or not. (Web site)

Meaning

  1. For more discussion about the meaning of a statistical hypothesis test, see Chapter 1. (Web site)

Descriptive Statistics

  1. Instead one needs to manually perform the hypothesis test using output from descriptive statistics.

Linear Relationship

  1. Although the hypothesis test indicates whether there is a linear relationship, it gives no indication of the strength of that relationship.

Difference

  1. Exploration of how likely it is that this difference is due to chance requires a hypothesis test, in this case the one sample t-test.
  2. We can also carry out a hypothesis test of the null hypothesis that the difference between the proportions is 0. (Web site)

Confidence Interval

  1. Derivation of the sampling distribution is the first step in calculating a confidence interval or carrying out a hypothesis test for a parameter. (Web site)

Alternative Hypothesis

  1. Every hypothesis test requires the analyst to state a null hypothesis and an alternative hypothesis.

Statistical Hypothesis Test

  1. Statistical hypothesis testing - A statistical hypothesis test is a method of making statistical decisions using experimental data.
  2. The alternative hypothesis, H 1, is a statement of what a statistical hypothesis test is set up to establish. (Web site)
  3. This is analogous to assumption or retaining H 0 in a statistical hypothesis test.

Normal Distribution

  1. ONE-SAMPLE PROCEDURES. Hypothesis test and confi dence interval for the mean of a Normal distribution with unknown variance.

Discrete Data

  1. We consider exact confidence limits obtained from discrete data by inverting a hypothesis test based on a studentized test statistic. (Web site)

True

  1. A chi-square test is any statistical hypothesis test in which the test statistic has a chi-square distribution if the null hypothesis is true. (Web site)

Error

  1. Type II Error In a hypothesis test, a type II error occurs when the null hypothesis H0, is not rejected when it is in fact false. (Web site)
  2. In other words, the power of a hypothesis test is the probability of not committing a type II error. (Web site)
  3. Power comparisons: For a hypothesis test, a type I error occurs if H 0 is rejected when it is true. (Web site)

Conduct

  1. To conduct the hypothesis test, we require a random sample of observed data.

Result

  1. H = jbtest(X) performs the Jarque-Bera test on the input data vector X and returns H, the result of the hypothesis test.
  2. The null hypothesis H? is an assumption about a population which may or may not be rejected as the result of a hypothesis test.
  3. Two types of errors can result from a hypothesis test. (Web site)

Distribution

  1. You use a chi-square test (meaning the distribution for the hypothesis test is chi-square) to determine if there is a fit or not. (Web site)

P-Value

  1. In the end, most folks summarize the result of a hypothesis test into one particular value - the p-value.

Null Hypothesis

  1. Critical value The critical value in an hypothesis test is the value of the test statistic beyond which we would reject the null hypothesis. (Web site)
  2. The critical region CR, or rejection region RR, is a set of values of the test statistic for which the null hypothesis is rejected in a hypothesis test. (Web site)
  3. Its value is used to decide whether or not the null hypothesis should be rejected in our hypothesis test. (Web site)

Critical Region

  1. The critical region of a hypothesis test is the set of all outcomes which, if they occur, will lead us to decide that there is a difference.

T-Test

  1. A t-test is any statistical hypothesis test in which the test statistic follows a Student's t distribution if the null hypothesis is true.

Hypothesis

  1. A null hypothesis is a hypothesis that is presumed true until a hypothesis test indicates otherwise. (Web site)
  2. The result of the hypothesis test is a Boolean value that is 0 when you do not reject the null hypothesis, and 1 when you do reject that hypothesis.
  3. The output above provides a statistical hypothesis test for the hypothesis that gender and employment category are independent of each other. (Web site)

Population Means

  1. In this section we will show how Excel is used to conduct a hypothesis test about the difference between two population means.

Population Mean

  1. Large Sample Size (say, over 30): In this section you wish to know how Excel can be used to conduct a hypothesis test about a population mean.

Test

  1. In regard to a hypothesis test in the linear regression, we have two approaches: confidence interval or test of significance.
  2. A t - test is any statistical hypothesis test in which the test statistic follows a Student's t distribution if the null hypothesis is true.
  3. A test of significance, also called a statistical hypothesis test, is a slightly different twist on the same mathematics used in the confidence interval.

Significance Level

  1. The significance level of a statistical hypothesis test is a fixed probability of wrongly rejecting the null hypothesis H 0, if it is in fact true. (Web site)
  2. The significance level is chosen prior to conducting the hypothesis test.
  3. Modify the P -value and significance level to better understand how their relationship determines the decision for a hypothesis test.

Hypothesis Test

  1. The significance level of an hypothesis test is the chance that the test erroneously rejects the null hypothesis when the null hypothesis is true. (Web site)
  2. In a hypothesis test, comparison of the value of a test statistic with the appropriate critical value determines the result of the test.
  3. H = lillietest(X) performs the Lilliefors test on the input data vector X and returns H, the result of the hypothesis test. (Web site)

Categories

  1. Science > Mathematics > Statistics > Null Hypothesis
  2. Science > Mathematics > Statistics > Test Statistic
  3. Significance Level
  4. Alternative Hypothesis
  5. Science > Mathematics > Statistics > Confidence Interval
  6. Books about "Hypothesis Test" in Amazon.com

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  Short phrases about "Hypothesis Test"
  Originally created: April 04, 2011.
  Links checked: February 24, 2013.
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