Inferential Statistics Flashcards

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1
Q

What is the objective of a statistical test?

A

To get a p value.

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2
Q

What is a p value?

A

The likelihood that the null hypothesis is true (the likelihood that the differences are not significant).

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3
Q

What is the p<0.05 value used for?

A

the critical value for most research. means there is a 5% likelihood that results are due to chance.

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4
Q

What does the p<0.01 value mean?

A

There is a 1% likelihood that results are due to chance?

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5
Q

What is a type 1 error?

A

rejecting the null hypothesis when it should be accepted.

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6
Q

What is a type 2 error?

A

accepting the null hypothesis when it should be rejected.

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7
Q

When should a binomial sign test be used?

A
  • when exploring the difference between each condition/level of the IV.
  • with pairs of scores, eg repeated measures design.
  • at the nominal level of measurement.
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8
Q

What does nominal mean?

A

for mutually exclusive, but not ordered, categories.

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9
Q

What is the N value on a binomial sign test?

A

the number of scores or participants, minus any zero values in the difference column.

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10
Q

What is the S value on a binomial sign test?

A

how many of the less frequent sign there are (+ or -).

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11
Q

What is the method for a binomial sign test?

A

1.) fill in data table with differences between each pair of data.
2.) work out the n value and s value.
3.) is it one tailed or two tailed?
4.) work out the critical value using the table.

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12
Q

What do the results of a binomial sign test mean?

A

observed value of s must be equal to or less than the critical value for a significant difference to be shown. if there is a significant difference, you should reject the null hypothesis, and vice versa.

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13
Q

Give an example of a statement of significance.

A

There is no significant difference between scores of…, ay P<0.05 level, showing that we can be 95% secure in accepting the null hypothesis.

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