Stats Flashcards

1
Q

Graphical methods of presentation(x5)

A
  • scatter plot
  • bar chart
  • histogram
  • mean +/- s/d
  • box plot
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2
Q

When would the median and mode be different to the mean value?

A

Small samples and skewed distributions (non-normal)

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3
Q

When can the t-test be employed?

A

When the data (raw/transformed) follow a normal distribution

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4
Q

Response if P

A

Difference is significant – reject null hypothesis

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5
Q

Response if P>critical value

A

Cannot reject null hypothesis

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6
Q

Box and whisker plot: what are the values represented within the box?

A

Values between the 25th and 75th percentile

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7
Q

Box and whisker plot: what do the whiskers represent?

A

Whiskers show the range of data

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8
Q

What is the type I error?

A

False positive result; rejection of the null hypothesis when it is true

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9
Q

In what instances is it likely to cause a type I error?

A

Rejection of null hypothesis when p-value is close to 0.05

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10
Q

What is type II error?

A

Not rejecting the null hypothesis when it is false; might erroneously conclude that no effect is present when there actually is

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11
Q

Factors affecting the power of a stats test (x4)

A
  • sample size
  • variability of observations
  • effect of interest
  • significance level desired
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12
Q

Which test is used to avoid the problem of multiple corrections?

A

Global test - ANOVA (analysis of variance)

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13
Q

What do you do if the ANOVA test yields a significant result (ie if P

A

Move to other tests e.g. Post-hoc tests - bonferroni, scheffe

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14
Q

When is non-parametric stats used? (X2)

A
  • when normality cannot be assumed

- categorical data

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15
Q

How is the Mann Whitney test used?

A

The individual data scores are converted into ranks for any subsequent analysis

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16
Q

What is the non-parametric alternative to the paired t test

A

Wilcoxon signed rank test

17
Q

What is the global test used in non-parametric stats?

A

Kruskal-Wallis

18
Q

What is the correlation analysis?

A

The degree of association between two variables

19
Q

How is data presented in correlation analysis?

A

Scatter plot

20
Q

What’s on the x and y-axis of the scatter plot?

A

X-axis: independent variable

Y-axis: dependent variable

21
Q

What does pearson’s correlation coefficient measure?

A

The degree of linear association between two variables

22
Q

Range of values of the pearson’s correlation coefficient

A

-1 to +1 (sign indicates the direction of association)

23
Q

In what cases will Pearson’s ‘r’ value be misleading? (X3)

A
  • non-linear r/s
  • presence of outliers
  • presence of subgroups
24
Q

When do you not use pearson’s? (X3)

A
  • if one variable is on the ordinal scale
  • if x or y are not normally distributed
  • if the sample size is too small
25
Q

What should be used in cases when pearson’s correlation coefficient is not used?

A

Spearman’s rank of correlation

26
Q

What is the coefficient of determination?

A

It determines how well the regression line accounts for variability in the dependant variable

27
Q

Ways of presenting data (x2)

A

Table

Graph