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Discuss how a t Test can be employed in hypothesis testing by the use of directional vs. non directional hypotheses. Discuss types of research where using the t statistic may be an appropriate alternative to using a z-score.

  • Statistics -

    Usually you use z-tests when sample sizes are large (n is greater than
    or equal to 30) whether or not you know the population standard deviation.

    If you do not know the population standard deviation and have a small
    sample (n < 30), then you can use t-tests.

    The alternate or alternative hypothesis tells you whether or not the test is directional or nondirectional. If the alternate hypothesis uses "greater than" or "less than" symbols, the test is directional. If the alternate hypothesis uses "does not equal" in its statement, then the test is nondirectional.

    I hope these few hints will help.

  • Statistics -

    The computed t was -.926 with df of 24 for p>.o5. what may you say about the null hypothesis?

  • Statistics -

    THE f-RATIO WAS 2.293 WITH DF OF (12,8)) FOR P>.05. What may you say about the alternate hypothesis.

  • Statistics -

    I would say the alternate hypothesis is rejected

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