KeyWEn.com  
 
 
 
Critical Value       Article     History   Tree Map
  Encyclopedia of Keywords > Science > Mathematics > Statistics > Test Statistic > Critical Value   Michael Charnine

Keywords and Sections
CORRESPONDING VALUE
TWO-TAILED
SECOND SECTION PRINTS
ABSOLUTE CRITICAL VALUE
CRITICAL VALUE APPROACH
ALPHA
COUPLING
SUPERFLUID
ALTERNATIVE
GREATER
FERMION
POWER
SAMPLE SIZE
EQUAL
ABSOLUTE VALUE
POPULATION MEAN
T-DISTRIBUTION
TEST
CHI-SQUARE TEST
UNIVERSE
CHI-SQUARE
PROBABILITY
DENSITY
P-VALUE
CHI-SQUARE STATISTIC
VALUES
VALUE
STATISTIC
CHI-SQUARE DISTRIBUTION
SIGNIFICANCE LEVEL
NULL HYPOTHESIS
TEST STATISTICS
TEST STATISTIC
CRITICAL VALUE
Review of Short Phrases and Links

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

Definitions

  1. The critical value is the number that the test statistic must exceed to reject the test.
  2. The critical value is 3.182, not 1.96 as it would be for the normal distribution. (Web site)
  3. If the critical value is 2.77, the table denominator of the t statistic.

Corresponding Value

  1. The critical value of WSD (Tukey-b) is the mean of the corresponding value for the Tukey's HSD test and the Newman-Keuls test, discussed below.

Two-Tailed

  1. In this case the test statistic is W = 18 and the critical value is 8 for a two-tailed p -value of 0.05. (Web site)

Second Section Prints

  1. The second section prints the upper critical value of the F distribution corresponding to various significance levels.

Absolute Critical Value

  1. So, you can just use.90 as the absolute critical value for a two-tailed.05 test.

Critical Value Approach

  1. We then use either the p-value approach or the critical value approach to reject or not reject the null hypothesis that mu = mu0.

Alpha

  1. If alpha is specified and non-zero, the test statistic is printed along with the critical value and decision.

Coupling

  1. Below some critical value N fc the coupling becomes strong enough (α χ SB) to break spontaneously the massless technifermions' chiral symmetry. (Web site)

Superfluid

  1. When a superfluid is set in rotation and the velocity of rotation exceeds a critical value, microscopic vortices appear.

Alternative

  1. Given that the test statistic (8.197) exceeds the critical value (2.045), the null hypothesis is rejected in favor of the alternative. (Web site)

Greater

  1. The higher the critical value that is chosen for the transferrin saturation, the greater the specificity, but the less the sensitivity. (Web site)

Fermion

  1. A fermion gas in which all the energy states below a critical value, designated Fermi energy, are filled is called a fully degenerate fermion gas.

Power

  1. That level determines the critical value for the test statistic and the critical value determines the power at any given alternative. (Web site)

Sample Size

  1. The null hypothesis is rejected if D is greater than a critical value which is dependent on the level of significance considered and the sample size.
  2. The t-value needed to achieve statistical significance with a given alpha and a given sample size is called the critical value.
  3. The test statistic for the Mann-Whitney test was compared to the designated critical value table based on the sample size of each student participant group.

Equal

  1. White's test statistic for testing homoscedasticity is 14.13, exceeding the critical value to reject homoscedasticity at p [less than or equal to].01.

Absolute Value

  1. For skewness, if the absolute value is equal or exceeds the critical value for your level of confidence, reject the assumption of normality. (Web site)

Population Mean

  1. The critical value 8 is one standard error higher than the population mean 4.

T-Distribution

  1. Using tables of the t-distribution, we find the critical value that makes this inequality true.

Test

  1. Note that a critical value for the test is obtained from a F-distribution with (2,14) degrees of freedom.

Chi-Square Test

  1. This mean value becomes the critical value for the chi-square test from the original analysis.

Universe

  1. The current density of the universe is observed to be very close to this critical value. (Web site)
  2. A value greater than one indicates that the universe is denser than the critical value and this corresponds to a closed universe.

Chi-Square

  1. The critical value for this test at the.05 level is a chi-square of 6.21.
  2. Since the observed chi-square (0.470) is less than the critical value, we fail to reject the null hypothesis.

Probability

  1. Since this is a one-sided test, we have probability in the upper tail of exceeding the critical value and zero in the lower tail.

Density

  1. If the density is greater than the critical value, gravity will stop the expansion at some time in the future and cause the universe to recollapse.
  2. The observed density is so close to the critical value that the question of whether the universe is open or closed has not yet been resolved by observation. (Web site)

P-Value

  1. The test statistic was compared to the designated critical value table and the p-value was determined (0.0173).
  2. Using the either the p-value or critical value approach will lead to rejection of H0 at 5%. (Web site)

Chi-Square Statistic

  1. The chi-square calculator computes the probability that a chi-square statistic falls between 0 and the critical value.

Values

  1. For two-sided tests, the test statistic is compared with values from both the table for the upper critical value and the table for the lower critical value. (Web site)

Value

  1. SNPs with ln(Rsb) value greater than this value are assigned as tSNPs, and loci with a ratio of tSNPs above a critical value are called significant.
  2. In fact, if one approaches the critical value t = 2 from either the left or the right on the real axis the value of each representative will tend to 2.
  3. When I look up this value in the handy little table at the back of my statistics book I find that the critical value is.4438.

Statistic

  1. If the critical value is 1.96, the test statistic is the usual t statistic.
  2. The H statistic is less than the critical value so the null hypothesis is not rejected.
  3. Whenever we perform a significance test, it involves comparing a test value that we have calculated to some critical value for the statistic.

Chi-Square Distribution

  1. The default value is 4.00 because it slightly exceeds the tabled critical value of a chi-square distribution with one degree of freedom: 3.84. (Web site)
  2. Instead of determining the critical value from a table of the chi-square distribution, you may prefer to compute a p -value for the test statistic. (Web site)

Significance Level

  1. In statistics, a critical value is the value corresponding to a given significance level. (Web site)
  2. Identify the significance level, the test statistic and the critical value.

Null Hypothesis

  1. In this case, we are using the first type of test, so we would reject the null hypothesis if T + is less than or equal to the critical value for 2*0.05.
  2. The probability of rejecting the null hypothesis or power is the probability that the F -statistic exceeds the critical value.
  3. The test statistic is then compared to the critical value(s) and used to make a decision about the null hypothesis.

Test Statistics

  1. Test statistics of less than the critical value reject the null hypothesis of unit root. (Web site)

Test Statistic

  1. Since the test statistic is greater than the critical value, we reject the null hypothesis at the = 0.10 level.
  2. If the test statistic is greater than the upper critical value or less than the lower critical value, we reject the null hypothesis. (Web site)
  3. It is rejected if the value of the test statistic is higher than the critical value.

Critical Value

  1. P is the p-value of the test, JBSTAT is the value of the test statistic, and CV is the critical value for determining whether to reject the null hypothesis. (Web site)
  2. 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)
  3. In differential topology, a critical value of a differentiable function between differentiable manifolds is the value of a critical point. (Web site)

Categories

  1. Science > Mathematics > Statistics > Test Statistic
  2. Science > Mathematics > Statistics > Null Hypothesis
  3. Significance Level
  4. Chi-Square Distribution
  5. Encyclopedia of Keywords > Thought > Value
  6. Books about "Critical Value" in Amazon.com

Book: Keywen Category Structure


  Short phrases about "Critical Value"
  Originally created: August 01, 2010.
  Links checked: February 03, 2013.
  Please send us comments and questions by this Online Form
  Please click on Move Up to move good phrases up.
0.0203 sec. a=1..