1a.A hypothesis test with t requires more information about the population than

Question

1a.A hypothesis test with t requires more information about the population than

true or false

1b. A small value for t (near zero) indicates that you will probably accept the null.

True False

1c. T/F: If a researcher is predicting that a treatment will decrease scores, then the critical region for a directional test will be in the right-hand tail.

1d. T/F: In a Type II error, the experimenter concludes there is evidence for an effect when in fact an effect does not exist.

1e. T/F: The larger the value of df, the closer the t distribution will be to a normal distribution.

1f. T/F: The z-score is an estimate of the value of the t statistic for a sample mean.

1g. T/F: There is always a possibility that the decision reached in a hypothesis test is incorrect.

Explanation / Answer

1)C) WHEN THE RESEARCHER IS PREDICTING THAT THE SCORES WILL DECREASE THEN THE MEAN THEN IT MEANS IT WILL BE A LEFT TAILED TEST. HENCE THIS STATEMENT IS FALSE

1D) TYPE 2 MEANS WHEN WE FAIL TO REJECT THE FALSE NULL HYPOTHESIS AND IN THIS STATEMENT THE SAME HAPPENS THAT THE ECPERIMENTER CONCLUDES THAT THERE IS EVIDENCE WHEN THERE IS NOT ANY. HENCE STATEMENT TRUE.

1E)YES THE LARGER THE VALUE OF DEGREE OF FREEDOM MORE IT CAN BE NORMAL DISTRIBUTION, THIS IS TRUE.

1G) YES THERE IS ALWAYS A POSSIBILITY THAT THE DECISION WE HAVE CONLCUDED IS INCORRECT, THERE IS TYPE 1 ERROR RATE AND TYPE 2 ERROR RATE IN THE QUESTION WHICH HAS A CHANCE TO OCCUR. HENCE STATEMENT IS TRUE.

Related Questions

Navigate

• Browse (All)
• Browse 1
• Subjects

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.