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A. Parameter

B. Variables

C. Statistic

D. Individual

A. Z score with an area of fish to its right

B. The sample size is greater than 30 and the population standard deviation is not known

C. Point estimate

A. At least two dependent variables

B. More than one dependent variable

C. More than one independent variable

D. Only one independent variable

A. Population parameter

B. Sample statistic

C. Sample mean

D. Type II error

A. A group of individuals of a single species that live and interact in one area

B. The sum of all individuals of a species in all locations

C. A group of individuals of several interacting species that live in one area

D. A group of cells that have similar function

E. A group of individuals of several interacting species that interact in multiple ecosystems

A. Simple random sample

B. Sampling distribution

C. Sample statistic

D. Parameter

A. Population range

B. Population skewness

C. Population mode

D. Population standard deviation

A. Data series

B. Exploded

C. Combination

D. Column

E. Compares trends over uneven time or measurement intervals

A. Spatial arrangement of individuals of a single species within a particular area or ecosystem

B. An orchid endemic to a mountaintop forest where logging is occurring

C. Individuals are competing for an evenly distributed resource such as space

D. Include the effects of disease, predators, and food on a single species within a community

A. Decrease the margin of error.

B. Tighten the confidence interval and increase the margin of error. Incorrect

C. Increase precision.

D. Increase the margin of error.

E. The confidence interval.

A. Only one outcome

B. Only two outcomes

C. One or more outcomes

D. Several events

A. The two samples both have n = 30 with sample variances of 20 and 25.

B. a different group of participants for each of the treatment conditions being compared

C. 17 for repeated-measures and 18 for independent-measures

D. None of these

A. Predict the value of the dependent variable given a value of the independent variable

B. Independent variabled

C. The y intercept

D. The coefficient of determination is 0.49

A. Quality control

B. Fitness for use

C. Certainty factor

D. Scatter diagram

A. Median

B. Mode

C. Mean

D. Geometric mean

A. N1 + n2

B. N−1

C. N1+n2−1

D. N1+n2−2

A. 7.815

B. 0.711

C. 9.488

D. 11.070

A. 0.30

B. 0.50

C. 0.70

D. 1.30

A. 47

B. 39

C. -41

D. 40

A. 42

B. 6

C. 8

D. 40

A. The special rule of addition

B. The special rule of multiplication

C. The general rule of multiplication

D. The bayes theorem

A. 10

B. 0.8

C. 8

D. 80

A. An area corresponding to a z-score of

B. -0.85

C. A data value associated with an area of 0.85 to its left

D. A data value associated with an area of 0.85 to its right

E. An area corresponding to a z-score of 0.8

A. Two variables measured at the nomical or ordinal level

B. Two variables, one at the nominal level and one at the interval level

C. Two variables measured at either the interval or ratio level

D. A single variable at two different time points

A. One-tailed

B. Alternative

C. Critical

D. Two-tailed

A. We estimate

B. Increases

C. Sample

D. Decrease

A. Variability of a data set

B. Three quartiles and two extreme values

C. The inter-quartile range

D. Taking the square root of the variance

A. Populations; samples

B. Inferential; samples

C. Samples; populations

D. Samples; inferential

A. Summarizing a data set with a frequency chart

B. Applying descriptive statistics

C. Computing cumulative frequencies

D. Using inferential statistics

A. The points are x= μ− σ and x = μ+ σ

B. Standard error of the mean

C. Both

D. None of these

A. Central probability distribution

B. Sampling distribution of the sample mean

C. Andom variation

D. Standard error

A. 0.00

B. 0.50

C. 1.00

D. -0.50

A. S= RANGE/6

B. S= RANGE/2

C. S= RANGE/4

D. S= RANGE/3

A. At the beginning of

B. At the end of

C. In the center of

D. Excluded from

A. Skewed

B. Varies with df

C. Is a theoretical distribution

D. All of the other three options

A. Zero

B. The mean deviation

C. The range

D. The standard deviation

A. Binomial, increases

B. Binomial, decreases

C. Z, increases

D. Z, decreases

A. The population variance is known

B. The standard error of the mean is given

C. The sampling distribution of variance is normally distributed

D. None of the other answers is correct

A. One-tailed test

B. Only once

C. Only two groups in total

D. None of these

A. Master black belts

B. Check sheets

C. Scatter diagrams

D. Return on quality

A. Data

B. A problem

C. Role

D. True

A. Independent variable

B. Dependent variable

C. Moderate variable

A. Intersection

B. Joint

C. Conditional

D. Simple

A. Descriptive

B. Overall

C. Inferential

D. Average

A. True

B. T Test

C. Test statistic for a hypothesis test

D. The significance level and determines the boundary for the rejection region

A. Directly related to the sample size—in other words, the larger the sample size, the larger the sampling error

B. Directly related to the population mean—in other words, the larger the mean, the larger the sampling error

C. Inversely related to the sample size—in other words, the larger the sample size, the smaller the sampling error

D. Inversely related to the population standard deviation—in other words, the smaller the standard deviation, the larger the sampling error

A. µ is unknown

B. µ is a random variable

C. 2 is unknown

D. The sample mean cannot be computed

A. Subtraction

B. Division

C. Addition

D. Multiplication

A. Square root of the standard deviation

B. Inverse value of the standard deviation

C. Squared value of the standard deviation

D. Absolute value of the standard deviation

A. Raise the correlation

B. Lower the correlation

C. Not change the correlation

D. Produce a causal relationship