Question

(a) standard error        (b) F-ratio                   (c) assumption      (d) degrees of freedom

(e) null hypothesis      (f) control group         (g) experiment      (h) alternative hypothesis      

(i) power                     (j) normal distribution (k) randomness     (l) directional test

(m) effect size             (n) single-blind           (o) double-blind   (p) sampling distribution

(q) Type I error           (r) Type II error          (s) Cohen’s d      (t) central limit theorem

1) The probability to reject the null hypothesis (when it is indeed false) refers to (   type I ) of a statistical test.

2) (     ) represents the true amount of effect regardless of the sample size of the study. It has become more and more important in statistical analysis in scientific investigation.

3) (     ) refers to the theoretical distribution of a statistic determined on separate independent samples of size N drawn from a single population.

4) (      ) is the statement of circumstances in the population that is logically the opposite to what is being tested; it is generally implicates that there is the expected effect.

5) In a hypothesis test, the number of components in its calculation that are free to vary indicates (           Degrees of Freedom     )

6) Regardless of types of hypothesis tests, one needs to identify (         ) which refers to the statement of circumstances in the population that the logic of statistical process requires to be true but that will not be proved or decided to be true

7) (          ) has to do with the standard deviation of a sampling distribution, which is utilized in hypothesis tests

8) When the decision of a statistical test is not to reject the null hypothesis when it is false, (             ) has occurred.

9) In hypothesis testing, (       ) is tentatively held to be true and its likely truth or validity is tested through the statistical process

10) (           ) is a measure of effect size that consists of the difference between two means divided by standard deviation

Answer 1

4) (Alternative hypothesis) is the statement of circumstances in the population that is logically the opposite to what is being tested; it is generally implicates that there is the expected effect.

7) (Standard error) has to do with the standard deviation of a sampling distribution, which is utilized in hypothesis tests.

8) When the decision of a statistical test is not to reject the null hypothesis when it is false, (Type II error) has occurred.

9) In hypothesis testing, (null hypothesis) is tentatively held to be true and its likely truth or validity is tested through the statistical process.

10) (Cohen’s d) is a measure of effect size that consists of the difference between two means divided by standard deviation.

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