Question

1. A(n) _____________ is the distance between a score and the mean of the group of scores.

Variation ratio

Standard deviation

Dispersion

Interquartile range

Mean deviation score

2. The ___________ is a probability threshold or cutoff value used in hypothesis testing that signifies the level of risk we are willing to take in making a Type I error (i.e., false positive, or rejecting a true null hypothesis).

binomial distribution

conditional probability

null hypothesis

sampling distribution

alpha level

3. Researchers commonly use hypothesis testing to make inferences from a probability sample to a larger population. The process starts with researchers making an initial or prior assumption about the population. Often, the prior assumption is that a population parameter is equal to zero (e.g., there is no relationship between variables). This prior assumption, referred to as a ___________, is then tested by assessing how improbable or unlikely the observed sample statistic would be if the ____________ were in fact true.

binomial distribution

conditional probability

null hypothesis

sampling distribution

alpha level

4. A ___________ is a statistic obtained from the population.

population parameter

confidence level

point estimate

confidence interval

standard error of the mean

Answer 1

1. A Mean deviation score is the distance between a score and the mean of the group of scores.

2. The alpha level is a probability threshold or cutoff value used in hypothesis testing that signifies the level of risk we are willing to take in making a Type I error (i.e., false positive, or rejecting a true null hypothesis).

3. Researchers commonly use hypothesis testing to make inferences from a probability sample to a larger population. The process starts with researchers making an initial or prior assumption about the population. Often, the prior assumption is that a population parameter is equal to zero (e.g., there is no relationship between variables). This prior assumption, referred to as a null hypothesis, is then tested by assessing how improbable or unlikely the observed sample statistic would be if the null hypothesis were in fact true.

4. A population parameter is a statistic obtained from the population.

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