# physics and math

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1. median
• (n+1)/2, the median will be between these two numbers
• least susceptible to outliers, not useful for large ranges
2. standard distribution
• can be transformed from normal distribution
• with zero as the mean and st. dev of 1
3. normal distribution
all central tendency (mode, mean, median) are the same
4. skewed distributions
neg skewed distribution with tail on the left (mean towards the left, then median and then mode)
5. bimodal distribution
two or more peaks
6. range
• heavily affected by outliers
• approx te st. dev as 1/4 of the range
7. interquartile range
• Q1=multiply n by 1/4
• Q3=multiply n by 3/4
• if whole number, quartile is the mean of the value at this position and the next highest, round up in other cases)
• IQR=Q3-Q1, range is 1.5(IGR) below Q1 or above Q3
8. outlier
• more than 3 st. dev away from mean
• key to determining whether or not the mean is an appropriate measure, could be measurement error
• throw out or not (DET before study)
9. independent events
outcomes do not impact each other
10. mutually exclusive outcome
cannot occur at the same time (one cannot flip head and tail in one throw)
11. exhaustive
no other possible outcomes
12. probability
• "and" multiply the probabilities
• "or" add the probabilities and subtract the probably of both happening together
13. probability of 10 births having at least one boy
1-probability of having all girls
14. p value and significance level (alpha)
if p value is greater than sign alpha, then we fail to reject the null hypothesis
15. type 1 error
report difference between two populations when there isn't one
16. type 2 error
we report no difference when there is a difference
17. confidence
report no difference when there is no difference
18. power
report difference when there is difference
19. confidence interval
• reverse of hypothesis testing; instead of using p score, we use 95% confidence (30 is the mean)
• 30-(3)(1.96) to 30+3(1.96)
• 95% confidence that true mean value is between those two levels
• 3 is standard dev.
20. histograms and bar graphs
histograms show distribution (mode) of variables, while bar graphs compare variables
21. box and whisker
• Q1 and Q3 (Q2 median in middle line)
• range is 1.5(IQR)
22. correlation
could be direct, inverse but does not imply causation
23. respect for persons
• honesty
• informed consent
• confidentiality
24. ethics of medicine
• beneficence
• nonmaleficence
• autonomy
• justice
25. justice
• selection of research topic and execution of research
• morally relevant differences (appropriate reasons to treat people differently): transplant more likely to give to younger individual
• no difference in perceived benefit between individuals, then all individuals should assume equal risk; particular population is likely to benefit that pop should assume higher proportion of risk
26. equipoise
if it becomes evidence that one treatment option is clearly superior before a study is done, then study must stop, because providing inferior treatment is a net harm.
27. popluation
complete group of every individual that satisfies the attributes of interest
28. parameter
information that is calculated using every person in a population
29. internal validty
support for causality
30. external validity (generalizability)
samples are representative of target population
31. studies need to have what in order for intervention to be allowed
statistically significantly (not the result of random chance) and clinical significance (notable or worthwhile change in health status as a result of our intervention
 Author: xijunzhu ID: 315522 Card Set: physics and math Updated: 2016-02-08 02:24:25 Tags: mcat Folders: Description: data based and research Show Answers: