Chap 7 Statistical Tests Flashcards

1
Q

Alpha Level

A

The a priori probability of falsely rejecting the null hypothesis that the researcher is willing to accept. It is used, in conjunction with the p value, to determine whether a sample statistic is statistically significant

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2
Q

Alternative Hypothesis

A

The alternative null hypothesis. Usually, it is the hypothesis that there is some effect present in the population ( e.g. two population means are not equal, two variables are correlated, a sample mean is diff. from a population mean, etc.).

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3
Q

Confidence Interval

A

A interval calculated using sample statistics to contain the population parameter, within a certain degree of confidence ( e.g. 95% confidence)

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4
Q

Descriptive Statistic

A

Statistics that describe that statistics of a given sample or population. These statistics are only meant to describe the characteristics of those from whom data were collected

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5
Q

Effect Size`

A

A measure of the size of the effect observed in some statistic. It is a way of determining the practical significance of a statistic by reducing the impact of sample size.

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6
Q

Inferential Statistic

A

Stats generated from a sample data that are used to make inferences about the characteristics of the population the sample is alleged to represent.

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7
Q

Null Hypothesis

A

The hypothesis that there is no effect in the population
( e.g. that two population means are not different from each other, that 2 variables are not correlated in the population)

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8
Q

One-Tailed

A

A test of statistical significance that is conducted just for one tail of the distribution. (e.g. that the sample mean will be larger than the population mean)

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9
Q

Population

A

The group from which data is collected or a sample is selected. The population encompasses the entire group for which the data are alleged to apply.

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10
Q

Practical Significance

A

A judgement about whether a statistic is relevant or of any importance, in the real world.

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11
Q

p value

A

The probability of obtaining a statistic of a given size from a sample of a given size by chance, or due to random error.

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12
Q

Random Chance

A

The probability of a statistical event occurring due simply to random variations in the characteristics of the samples of a given size selected randomly from a population.

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13
Q

Random Sampling Error

A

The error, or variation, associated with randomly selecting samples of a given size from a population.

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14
Q

Sample

A

An individual or group, selected from a population, from whom of which data are collected.

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15
Q

Statistical Significance

A

When the probability of obtaining a statistic of a given size due strictly to random sampling error, or chance, is less than the selected alpha level, the result is said to be statistically. It also represents a rejection of the null hypothesis.

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16
Q

Two-Tailed

A

A test of statistical significance that is conducted just for both tails of the distribution. (e.g. that the sample mean will be different from the population mean).

17
Q

Type 1 Error

A

Rejecting the null hypothesis when in fact the null hypothesis is true.

18
Q

p value

A

The p value, or the probability

19
Q

A

The alpha level 0.5

20
Q

d

A

One measure of effect size

21
Q

S

A

Standard deviation used in the effect size formula

22
Q

A

Infinity

23
Q

sx ̅

A

The standard error calculated with the sample standard deviation

24
Q

ox ̅

A

The standard error calculated with the population standard deviation

25
Q

Ho

A

The null hypothesis

26
Q

HA or H1

A

The alternative hypothesis

27
Q

Point Estimate

A

Point estimate provides a single plausible value for a parameter

28
Q

Confidence Interval

A

A plausible range of values for the population parameter

Note: confidence intervals only attempt to capture population parameters.

29
Q

Central limit Theorem

A

The fact that a sample size increases, the sampling distribution of the mean becomes increasingly normal, regardless of the shape of the distribution of the sample

30
Q

In a confidence interval a Margin of Error looks like what?

A

z* x SE

31
Q

Type 2 Error

A

Failing to reject the null hypothesis when the alternative is true.

32
Q

what is the significance level

A

5% OR ∝ = 0.05