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Statistics Vocab
Statistics Vocab
45 terms
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Vocabulary from chapters 7, 8, & 9.
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1
The probability of correctly detecting a false null hypothesis
T Test
Left-Tailed Test
Statistical Test
Power of a Test
2
The range of values of the test value that indicates that there is a significant difference
Critical Value
Critical/Rejection Region
Noncritical/Nonrejection Region
Statistical Test
3
The hypothesis that the variables under investigation are based on true data in the population
Null Hypothesis
Alternative Hypothesis
Statistical Hypothesis
Research Hypothesis
4
A positively skewed distribution derived from a sampling distribution of F ratios
Independent Samples
F Test
Pooled Estimate of the Variance
F Distribution
5
Hypothesis that there is no significant difference between specified populations
Alternative Hypothesis
Research Hypothesis
Statistical Hypothesis
Null Hypothesis
6
The value that the test statistic must exceed in order to reject the null hypothesis
Null Hypothesis
Z Test
P-Value
Critical Value
7
Samples in which measurement of a variable in one population has no effect on measurement of the variable in the other
F Test
Independent Samples
F Distribution
Dependent Samples
8
Statistic used to estimate a parameter event the outcome of a probability experiment
Estimation
Proportion
Estimator
Robust
9
Probability distribution obtained from the values of (n-1)s²/
Point Estimate
T Distribution
Chi-Square Distribution
Unbiased Estimator
10
A hypothesis test in which rejection of the null hypothesis occurs for values of the test statistic in either tail
Z Test
Two-Tailed Test
P-Value
One-Tailed Test
11
A test used to determine whether there is more variability in the scores of each samples
Dependent Samples
F Test
F Distribution
Pooled Estimate of the Variance
12
The test statistic under the null hypothesis that can be approximated by a normal distribution
Critical Value
T Test
Statistical Test
Z Test
13
Probability that a parameter lies within the specified interval estimate of the parameter
Confidence Interval
Confidence Level
Estimator
Consistent Estimator
14
Samples in which the subjects are paired or matched in some way; i.e., the samples are related
F Distribution
Independent Samples
Dependent Samples
F Test
15
Estimates a parameter of unbiased estimator if the mean of its sampling distribution is equal to the true value
Consistent Estimator
Unbiased Estimator
Relatively Efficient Estimator
Point Estimate
16
Uses the data obtained from a sample to make a decision about whether the null hypothesis should be rejected
One-Tailed Test
Statistical Test
Z Test
T Test
17
Estimator that has the smallest variance of all the statistics that can be used to estimate a parameter
Proportion
Relative Efficient Estimator
Confidence Level
Estimator
18
The range of test values that indicates that the difference was probably due to chance
Noncritical/nonrejection region
Level of Significance
Type II Error
Critical/Rejection Region
19
Process of estimate the value of a parameter from information obtained from a sample
Confidence Level
Estimation
Estimator
Point Estimate
20
Number of scores that can vary in the calculation of a statistic
Assumptions
Point Estimate
Proportion
Degrees of Freedom
21
As you increase the size of a random sample, the values of the estimator get closer to the parameter values
Consistent Estimator
Degrees of Freedom
Point Estimate
Proportion
22
The hypothesis that states there is a difference between two or more sets of data
Null Hypothesis
Alternative Hypothesis
Research Hypothesis
Statistical Hypothesis
23
Distribution of the variable can depart somewhat from normality, and valid conclusions can still be obtained
Degrees of Freedom
Robust
Point Estimate
Estimation
24
The probability level which forms basis for deciding if results are statistically significant
Research Hypothesis
Type I Error
β (Beta)
P-Value
25
Maximum error of estimated difference between the point estimate of a parameter and the actual value of the parameter
Proportion
T Distribution
Margin of Error
Robust
26
Interval or range of values used to estimate the parameter
Chi-Square Distribution
Interval Estimate
Robust
Margin of Error
27
A weighted average of the variance using the two sample variances and their respective degrees of freedom
F Test
Dependent Samples
Pooled Estimate of the Variance
F Distribution
28
Specific numerical value estimate of a parameter
Point Estimate
Estimator
Proportion
T Distribution
29
Used when you are testing small samples and when the population standard deviation is unknown
T Distribution
Unbiased Estimator
Margin of Error
Proportion
30
Specific interval estimate of a parameter determined by using data obtained from a sample
Degrees of Freedom
Confidence Level
Confidence Interval
Unbiased Estimator
31
The probability of a type I error
A Test
β (Beta)
T Test
α (Alpha)
32
A statistical test used to evaluate the size and significance of the difference between two means
One-Tailed Test
T Test
Chi-Square Test
Z Test
33
A one-tailed test in which the sample outcome is hypothesized to be at the right tail of the sampling distribution
Two-Tailed Test
Left-Tailed Test
Right-Tailed Test
One-Tailed Test
34
All parametric tests assume some certain characteristic about the data
Estimation
Consistent Estimator
Assumptions
Robust
35
A test in which the research hypothesis is directional
One-Tailed Test
Left-Tailed Test
Right-Tailed Test
Two-Tailed Test
36
Rejecting a true null hypothesis
Type I Error
Type II Error
Critical Value
Null Hypothesis
37
The numerical value obtained from a statistical test
Z Test
Right-Tailed Test
Chi-Square Test
Test Value
38
Makes and tests an educated guess about a problem/solution
Research Hypothesis
Hypothesis Testing
Statistical Hypothesis
Alternative Hypothesis
39
A hypothesis stating that there is no relationship among the variables
Statistical Hypothesis
Null Hypothesis
Alternative Hypothesis
Research Hypothesis
40
Probability of a type II error
α (Alpha)
Z Test
β (Beta)
T Test
41
Failing to reject a false null hypothesis
Critical Value
Type II Error
Type I Error
Null Hypothesis
42
The probability of making a type I error
Level of Significance
Alternative Hypothesis
Critical Value
Statistical Hypothesis
43
Part of a whole
T Distribution
Assumptions
Proportion
Interval Estimate
44
A common statistic used to analyze nominal and ordinal data to find differences between groups
Z Test
Statistical Test
T Test
Chi-Square Test
45
A one-tailed test in which the sample outcome is hypothesized to be at the left tail of the sampling distribution
One-Tailed Test
Left-Tailed Test
Two-Tailed Test
Right-Tailed Test
