'Before you begin' quiz (Year 1 recap) Flashcards

1
Q

What is the purpose of the ‘control’ condition?

A

To allow psychologists to make inferences about a cause.

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2
Q

What is a t- statistic?

A

The ratio of systematic : unsystematic variation

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3
Q

What is standard deviation?

A

The measure of dispersion of scores around the mean.

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4
Q

What does a small standard deviation represent?

A

All data points are close to the mean, therefore the mean is a ‘good fit’ of the data.

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5
Q

What does a large standard deviation represent?

A

All data points are very spread around the mean, therefore the mean is not a ‘good fit’ of the data.

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6
Q

What does a significant test statistic tell us?

A

The test statistic is larger than we would expect if there was no effect in population.

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7
Q

What does a positive correlation represent?

A

As one variable increases, the other increases too.

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8
Q

What does a negative correlation represent?

A

As one variable increases, the other decreases.

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9
Q

What is a Type-1 error?

A

We conclude there is an effect when in fact there is not.

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10
Q

What is a Type-2 error?

A

We conclude there is not an effect when in fact there is.

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11
Q

What is standard error?

A
  • The standard deviation of sample means.
  • Measure of how representative samples parameters are of the population.
  • Computed from known sample stats.
  • Provides an unbiased estimate of standard deviation.
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12
Q

Interpreting SPSS: What do we do if the Levene’s test is significant?

A

Read data from the ‘equal variances not assumed’ row.

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13
Q

What does positively skewed data look like on a graph?

A

Frequent scores clustered towards the lower end of the graph.

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14
Q

What does negatively skewed data look like on a graph?

A

Frequent scores clustered towards the higher end of the graph.

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15
Q

What does normally distributed data look like on a graph?

A

A bell curve.

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16
Q

What does the null hypothesis state?

A

No correlation will be found.

17
Q

What does the experimental hypothesis state?

A

A correlation will be found.
One-tailed hypothesis: do not state direction.
Two-tailed hypothesis: state direction of the correlation.

18
Q

What are confidence intervals?

A
  • Calculated for a given statistic.
  • A range around said statistic which the true value lies in (ie. 95% confidence interval = 95 of 100 sample would contain true value).
19
Q

How do we calculate z-scores?

A

z = score - all scores / SD