Week 4 Flashcards

1
Q

What is a one tail test

A

the one-tailed test is a statistical hypothesis testing method

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2
Q

What is a two tailed test

A

a method in which the critical area of a distribution is two-sided and tests whether a sample is greater than or less than a certain range of values

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3
Q

What is a null hypothesis

A

the hypothesis that there is no significant difference between specified populations, any observed difference being due to sampling or experimental error.

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4
Q

How many steps are there in logic of hypothesis testing

A

6

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5
Q

What is a T statistic

A

Used in a T test when you are decoding if you should support or reject the null hypothesis

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6
Q

What are T scores

A

Similar to Z scores, measure how many SD’s a sample mean from the population

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7
Q

What is a T test

A

Similar to a Z test, the difference between sample and population

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8
Q

What are the two features of an experimental design

A

Manipulation of the independant vairable and control

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9
Q

What is a randomised two group design

A

A design used in experimentation in which the subjects are randomly assigned to either a control group or experimental group without matching on certain background variables

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10
Q

What is the non-experimental between groups design

A

Nonexperimental designs are research designs that examine social phenomena without direct manipulation of the conditions that the subjects experience. There is also no random assignment of subjects to different groups. As such, evidence that supports the cause-and-effect relationships is largely limited.

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11
Q

What is an independent samples T test

A

compares the means of two independent groups in order to determine whether there is statistical evidence that the associated population means are significantly different. The Independent Samples t Test is a parametric test.

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12
Q

What is the hypothesis for a between groups design

A

The mean score per group A on the dependent variable will be significantly higher/lower than the mean score per group B

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13
Q

What is cohens D

A

Cohen’s d is a type of effect size between two means. An effect size is a quantitative measure of the magnitude for the difference between two means, in this regard. Cohen’s d values are also known as the standardised mean difference (SMD).

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14
Q

What is test hypothesis

A

Hypothesis testing in statistics refers to analyzing an assumption about a population parameter. It is used to make an educated guess about an assumption using statistics.

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15
Q

What is the assumption of normality

A

Assumption of Normality asserts that the distribution of sample means (across independent samples) is normal. In technical terms, the Assumption of Normality claims that the sampling distribution of the mean is normal or that the distribution of means across samples is normal

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16
Q

What is kurtosis

A

the sharpness of the peak of a frequency-distribution curve.

17
Q

What is a population parameter

A

refers to the ‘true’ state of the population. The true mean and standard deviation, and so on, of the population as a whole

18
Q

What are the symbols for the following:
Mean
Standard Deviation
Variance

A

M*
SD
SD2

19
Q

What is Statistical Significance?

A

Statistical significance refers to the likelihood (probability) that an obtained statistical value is the result of chance alone.

20
Q

What does a low P value mean

A

the lower the p-value, the less likely it would be that you would get your result if there was no effect or difference

21
Q

What does a high P value mean

A

the higher the p-value, the more likely it is you would get your result if there was no effect or difference