Mock exam Flashcards

(34 cards)

1
Q

In an even sample size which ones the mean

A

mean is midway between the two middle values

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2
Q

In an odd sample size which ones is the mean

A

mean is the middle number

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3
Q

which value is the upper quartile

A

75%

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4
Q

which value is the lower quartile

A

25%

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5
Q

where do 50% of values lies between

A

between the upper and lower quartile

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6
Q

does sample mean equal population mean

A

no - sample mean varies from sample to sample whereas population mean is a fixed value

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7
Q

what happens to the widths of the confidence intervals as sample size increases

A

confidence intervals decrease as the estimate gets better/more precise so confidence interval narrows

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8
Q

what is the confidence interval for a mean

A

estimate of the mean - given in a range rather than a single value

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9
Q

what does standard error measure

A

how well a sample mean estimates the corresponding population quantity/mean

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10
Q

what does standard deviation measure

A

measures the spread of the population or sample

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11
Q

if a p-value is less than 0.05 what do you with null hypothesis

A

reject it

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12
Q

if a p value is above 0.05 what do you do with null hypothesis

A

accept the null hypothesis as there is no evidence against it, but we cannot say that it is true

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13
Q

is the data normally distributed for an unpaired t test

A

yes

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14
Q

is the data normally distributed for a paired t test

A

no, only necessary for the within pairs differences to follow a normal distribution

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15
Q

if a sample size increases by x what happens to the confidence intervals

A

they are reduced by the square root of x, not x

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16
Q

what do we use to assume normality during a regression analysis

17
Q

what is another way to assume normality

A

inspect the y-values but you will not be taking proper account of the way the mean of the observations changes with x

18
Q

what does the interquartile range measure

A

the spread of the data

19
Q

how do you estimate the standard error of a sample

A

take standard error of the current sample and divide it by the square root of the factor the sample increases by

20
Q

a 95% confidence interval for the mean of a large sample is approximately

A

the sample mean + or - 2 x standard error

21
Q

what indicates a good agreement using the bland altman method of agreement

A

small bias, narrow limits of agreement, most data points falling within the limits

22
Q

how do we test the association between response and predictor variables in regression analysis

A

use a t test built using the estimated regression coefficient and its standard error

23
Q

what does an odds ratio of > 1 mean

A

condition is more likely in exposed subjects

24
Q

what does a odds ration < 1 mean

A

less likely to be exposed

25
what does an odds ratio of 1 mean
equally like to be exposed/unexposed
26
what do we know about the standard deviation of the variation about the regression line
assumed to be constant, known as homeoscedasticity. If the assumption is violated then the regression may be invalid
27
when data is highly positively skewed
the mean is greater than the median lower tail is shorter than the upper tail usually one or more extreme values
28
what does pearson correlation coefficient show when it’s negative and significant
increase in one variable means a decrease in another variable
29
what does cohen kappa do
calculation that corrects for chances of agreement, range of values between -1 and 1
30
what does a chi2 test do
it is used to test for associations rather than agreement
31
what is chi2 test applied to
it is applied to frequencies (actual counts) not percentages
32
what happens to standard error of mean and standard error of proportion when sample size increases
they both get smaller
33
what does the logit function do
used in regression natural logarithmic transformation of the odds, natural log of the odds is the logit of probability of event or condition
34
what is logistic regression applicable to
a binary response variable with any number of predictors, categorical or continuous