GoConqr has a new look! Let us know what you think.

Sign up free

Flashcards

Statistics 3 Data analysis

Rachael Jones 2. Animal management 2 BVSc English 54 cards

Cards in this deck (54)

  1. 1What are the 2 types of categorical variables?Ordinal
    Nominal
  2. 2What are dependant and independent variables determined by?Hypothesis
  3. 3What form does a scientific hypothesis take?'I think that hibernating a lot prolongs lifespan in hamsters'
  4. 4In the previous scientific hypothesis what is the dependant and independent variables?D: Lifespan
    I: Time spent hibernating
    (Lifespan depends on time spent hibernating)
  5. 5What has to be considered in an observational study?Something else that may actually 'cause'/affect both varibales
  6. 6What do we know in an experimental study if there is an effect on the independent variable?It is the causal pathway for the dependant variable
  7. 7What is the equation for the t-statistic test?t = mean of group 1 - mean of group 2 / common standard deviation of the two groups
  8. 8What is the t-statistic?The ratio between the size of the effect and the amount of variation between individuals
  9. 9What is the term given to the difference between two means in the data?Effect size
  10. 10What is the variation around the means for the 2 sub data sets on a graph?Inter-individual variation or error
  11. 11What are degrees of freedom?Are a correction necessary for small sample sizes, where estimates of the true mean of the population are likely to be inaccurate
  12. 12What does the value of P have to be for there to be a significant difference?P<0.05
  13. 13What is a hypothesis that suggests that there are no differences or correlation between 2 variables?Null hypothesis
  14. 14What 2 things are studies normally based on?1. Scientific hypothesis
    2. Study hypothesis
  15. 15How can the p value be used to determine whether samples are from the same population?A p-value of less than 0.5 indicates that there is less than 1 in 20 chance that the samples are from the same population
  16. 16At P<0.05 what normally happens to the null hypothesis?Reject null hypothesis and accept study hypothesis
  17. 17What error are we making if we decide that two samples are from different population when they aren't?Type 1
  18. 18Does a significant result alwaysNo
  19. 19What type of error is being made when we accept the null hypothesis when it is not true?Type II
  20. 20What is teh most common reason for incorrectly accepting the null hypothesis?Too small a sample size of study
  21. 21What can be used to work out how big the sample size of the study has to be?Power calculations
  22. 22What do non-parametric tests make more likely?Type II error
  23. 23What is Wilcoxon Rank test and example of?Non-parametric
  24. 24What is the layout of a two-by-two factorial experiment?Has two factors each having two levels
  25. 25What can you make predictions from in a two-by-two factorial experiment?Scientific hypothesis
  26. 26Does a factorial experiment have to be two-by-two?No, can be more factors with more levels
  27. 27What allows more comparisons to be made in a factorial experiment?More factors
  28. 28What is needed if there is an increased number of factors to reduce the chance of making type II error?Increased sample size in the experiment
  29. 29What happens when you use more than one t-test to analyse a data set?Increases the chance of seeing a difference between the two of the groups
    (1/20 / number of t-tests)
  30. 30What is the 4 components that makes a linear model (or general linear model)?1. Constant
    2. +the effect size of supplementation
    3. + the effect size of infection
    4. + the error term
  31. 31What is a good thing about the general linear model?Very flexible
  32. 32Where the independent variable is categorical and the dependant variable is continuous what 2 data analysis can be used?1. For 2 categories use a t-test or a Wlcoxon/Mann Whitney (non-parametric)
    2. For more than 2 categories, use a general linear model (parametric)
  33. 33What is the name given when the same animal is used to make multiple measurements under different conditions?Paired data
  34. 34What has to be done so then the individual animals results can be compared rather than the means for the different conditions?Join the individual animals results
  35. 35When looking at the differences between the two observations, what will be seen if the differences are random?Their means should equal zero
  36. 36What is the basis for the paired t-test?-Differences are random, the mean should be zero
    - Differences predominantly in one direction away from zero, the mean should be significantly different from zero
  37. 37What 2 tests can be used where observations are paired?1. Paired t-test for two groups
    2. General linear model for more than two
  38. 38What is the issue with a graph of multiple sets of continuous data?Continuous variables on both axes
  39. 39If there is a relationship between the 2 continuous variables, what can be used to represent this?Straight line
    y= mx + c
  40. 40What is it called when a line is drawn to minimise all the variation around it?Regression analysis
  41. 41What does regression analysis minimise?Error term
    (normally minimises error in y-axis)
  42. 42What is important before drawing a regression analysis?Make sure the correct variables are on the right axis as the line can change depending on which way round the graph is.
  43. 43Which axis does the independent variable go on?x-axis
  44. 44What axis does the dependant variable go on?y-axis
  45. 45Give 2 features of the line produced by regression analysis.1. Maximises the amount of variation which is explained by independent variable
    2. Minimises the error variation in the dependant variable
  46. 46What two ways of data analysis can be used where both the dependant and independent variables are continuous?1. Linear regression (or general linear model for parametric data
    2. Spearman rank test for non-parametric data
  47. 47What situation can the general linear model not be used for?Where both dependant and independent variables are categorical
  48. 48What can be used to analyse data with 2 categorical variables?- Generalised linear model
    - Chi-squared (xsquared)
  49. 49What is needed to be able to carry out the chi squared test?Results we would expect to see according to the null hypothesis
    (the expected values)
  50. 50How can you use data presentation to trick people that your 'result' is correct?1. Using standard errors of the mean rather than standard deviations for error bars
    2. Use restricted area of the graph
    3. Aspect ratio
    4. Removing the grid lines
    5. Colouring the bars differently
  51. 51What do you have to have in order to present your data in a more persuasive way?A statistical analysis which says the effect is real/supports the data
  52. 52What is statistical significance?A measure of whether we reject or accept the null hypothesis
  53. 53What is the result if we reject the null hypothesis?Imply that there is a real, mechanistic link between two or more measured variables
  54. 54What is EFSA's definition of a biologically relevant effect?"An effect considered by expert judgement as important and meaningful for human, animal, plant or environmental health."

Information

Description
BVSc 2. Animal management 2 (Statistics) Flashcards on Statistics 3 Data analysis, created by Rachael Jones on 25/10/2016.
Created by
Rachael Jones
Views
1
Rating

Feedback

What is it about?

What do you think of the new look?

How do you like it?