Chi-squared test, matrix, and test statistic

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• Definitions and interpretations

  A chi-squared test, also referred to as χ² test (or chi-square test), is any statistical hypothesis test in which the sampling distribution of the test statistic is a chi-square distribution when the null hypothesis is true.

• Chi square test.

  Step 3: Decision rule If the test chi-squared statistic is greater than 3.841, then we should reject H0.

• Chi Square Distribution Differences

  A chi-squared statistic is a non-parametric test, i.e., where the underlying population does not follow the normal distribution.

• Using Chi--Square Statistics

  This is also called the 'chi-square test of association,' or the 'chi-squared test of independence.'

• Vehicles heading west on Front Street may turn right, left, or go straight ahead at Elm Street.

  Then we will test H0: p1=p2=25%, p3=50%; H1: p1=p2=25%, p3=50% is incorrect. Use chi-squared test, we can compute the test chi-squared statistic as follows.

• Test Statistic,Critical Values & Limits Containing P-Value

  The solution does a chi squared test for a statistic and decides if the evidence for a claim is sufficient.

• chi-squared strategy

  You need to state the claim, define the null and alternate hypotheses, identify the test significance and the test statistic, and state the decision rule that will be used.

• Discuss: The Chi-Square Test

  In this case, a contingency table is prepared and the Chi-squared statistic is used to reject or accept the null hypothesis. Hope that this helps! Thanks for using BrainMass.

• Chi square test of independence

  Now that you have the table, the calculation of the chi-square statistic and the hypothesis test becomes simple.