testes

(noun)

Also referred to as testicles, the male gonads in animals.

Related Terms

  • sertoli cells
  • ovaries
  • follicle-stimulating hormone
  • Luteinizing hormone
  • gonad
  • ovary
  • Leydig cells
  • testicle

(noun)

The male gonads responsible for the production of sperm and the secretion of testosterone.

Related Terms

  • sertoli cells
  • ovaries
  • follicle-stimulating hormone
  • Luteinizing hormone
  • gonad
  • ovary
  • Leydig cells
  • testicle

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).
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