testes

Examples of testes in the following topics:

• Eva's test atom

• Quantitative or Qualitative Data?

  • Different statistical tests are used to test quantitative and qualitative data.
  • Paired and unpaired t-tests and z-tests are just some of the statistical tests that can be used to test quantitative data.
  • A t-test is any statistical hypothesis test in which the test statistic follows a t distribution if the null hypothesis is supported.
  • A z-test is any statistical test for which the distribution of the test statistic under the null hypothesis can be approximated by a normal distribution.
  • One of the most common statistical tests for qualitative data is the chi-square test (both the goodness of fit test and test of independence).

• Standardized Tests

  • A standardized test is a test that is administered and scored in a consistent manner.
  • A standardized test is a test that is administered and scored in a consistent manner.
  • Finally, critics have expressed concern that standardized tests may create testing bias.
  • Testing bias occurs when a test systematically favors one group over another, even though both groups are equal on the trait the test measures.
  • Critics allege that test makers and facilitators tend to represent a middle class, white background and standardized testing matches the values, habits, and language of the test makers.

• Tips for Testing Series

  • Convergence tests are methods of testing for the convergence or divergence of an infinite series.
  • Convergence tests are methods of testing for the convergence, conditional convergence, absolute convergence, interval of convergence, or divergence of an infinite series.
  • When testing the convergence of a series, you should remember that there is no single convergence test which works for all series.
  • Here is a summary for the convergence test that we have learned:
  • The integral test applied to the harmonic series.

• test

• Standardized Tests

  • Standardized tests are identical exams always administered in the same way so as to be able to compare outcomes across all test-takers.
  • Standardized tests are assessments that are always administered in the same way so as to be able to compare scores across all test-takers.
  • Standardized tests are usually created by a team of test experts from a commercial testing company in consultation with classroom teachers and university faculty.
  • Standardized tests are perceived as being "fairer" than non-standardized tests and more conducive to comparison of outcomes across all test takers.
  • Some recent standardized tests incorporate both criterion-referenced and norm-referenced elements in to the same test.

• The t-Test

  • A t-test is any statistical hypothesis test in which the test statistic follows a Student's t-distribution if the null hypothesis is supported.
  • A t-test is any statistical hypothesis test in which the test statistic follows a Student's t-distribution if the null hypothesis is supported.
  • Gosset devised the t-test as a cheap way to monitor the quality of stout.
  • Gosset's work on the t-test was published in Biometrika in 1908.
  • The form of the test used when this assumption is dropped is sometimes called Welch's t-test.

• Exercises

  • In general, are rank randomization tests or randomization tests more powerful?
  • What is the advantage of rank randomization tests over randomization tests?
  • Test whether the differences among conditions for the data in Problem 1 is significant (one tailed) at the .01 level using a rank randomizaton test.
  • (S) Test the difference in central tendency between the two conditions using a rank-randomization test (with the normal approximation) with a one-tailed test.
  • (SL) Test the difference in central tendency between the four conditions using a rank-randomization test (with the normal approximation).

• The Existence of Inverse Functions and the Horizontal Line Test

  • Recognize whether a function has an inverse by using the horizontal line test

• t-Test for Two Samples: Paired

  • Paired-samples $t$-tests typically consist of a sample of matched pairs of similar units, or one group of units that has been tested twice.
  • Paired samples $t$-tests typically consist of a sample of matched pairs of similar units, or one group of units that has been tested twice (a "repeated measures" $t$-test).
  • A typical example of the repeated measures t-test would be where subjects are tested prior to a treatment, say for high blood pressure, and the same subjects are tested again after treatment with a blood-pressure lowering medication .
  • Note, however, that an increase of statistical power comes at a price: more tests are required, each subject having to be tested twice.
  • Paired-samples $t$-tests are often referred to as "dependent samples $t$-tests" (as are $t$-tests on overlapping samples).