Stats Flashcards

(27 cards)

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?

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
What should be used in cases when pearson's correlation coefficient is not used?
Spearman's rank of correlation
26
What is the coefficient of determination?
It determines how well the regression line accounts for variability in the dependant variable
27
Ways of presenting data (x2)
Table | Graph