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Flashcards

STATS TEST 2

Bex Chrystall Inglês 33 flashcards

Flashcards do conjunto (33)

  1. 1Binomial Distribution Meannπ
    where π = unknown proportion of 1's occurring
  2. 2BD variancenπ(1-π)
  3. 3BD Standard Deviation√nπ(1-π)
  4. 4Binomial ConditionsOutcome must be Binary
    "Roll of 4" vs "Roll of not 4"
    Success must be constant
    Probability of one outcome occurring must not change (ie as a result of another outcome occurring)
    TRIALS must be independent therefore.
  5. 5Calculating the probability of x successesFOLLOW the Formula subbing in X, N and π
  6. 6Binomial distribution is defined by two parameters:Fixed number of trials (n)
    &
    The constant probability of success on each trial (π)
  7. 775% of NZ children under 18 live with both parents. A random sample of 20 is selected. In the sample, how many children might we expect to find are living with both parents?Find the mean. nπ where n = 20 π = 0.75
    = 20 X 0.75
    = 15
  8. 8What is the R code that is used to determine the probability of X successes?dbinom(x=,size=,prob=)
  9. 9What is the R code used to determine the probabilities of success that are smaller than or equal to a certain value of Xpbinom(q=,size=,prob=)
  10. 10How do you determine the probabilities of success that are greater than or equal to a certain value of XWork out the success of each probability and them together. OR use
    pbinom(q=,size=,prob=,lower.tail=FALSE)
  11. 11Reference Ranges Contain:The central 95% of all the values of the measures in a healthy population.
  12. 12Pnorm gives you the area:Below or above a certain point Q
  13. 13Qnorm will give you:the value of the normal distribution defined with a particular mean and sd above or below an area where p occurs
  14. 14Lower Limit of Normal for Reference Ranges is calculated by:µx - qnorm(standard deviation)
  15. 15Upper limit of the normal for a reference range is calculated by:µx + qnorm(standard deviation)
  16. 16The shape of the log - Normal distribution depends on __ and is always ___ skewedthe standard deviation, positively
  17. 17The sampling distribution of the mean is___, and follows a ___ it is denoted bythe distribution of a means, from many samples, Normal Distribution, X Bar
  18. 18The Central Limit Theorem States:That given a significantly large sample size with a particular mean and variance, the mean of samples taken from the population will be approximately equal to the mean of that population.
  19. 19The mean of the sampling distribution is = The standard deviation of the sampling distribution is =µx & SigmaX
    -----
    √N
  20. 20The standard deviation of the sampling distribution is also known as: and it is a measure of:The standard error of the mean, the precision with which we have estimated the mean.
  21. 21The larger the sample size the smaller the ____Standard Error (More compact distribution, greater precision)
  22. 22If X is normal than then the sampling distribution of the means is:normal for any n
  23. 23If X is not normal, X bar is:Approximately normal for large sample sizes
  24. 24Confidence intervals are calculated using:The distribution of the sample means = X Bar
  25. 25The alpha value denotes:a specific amount of tail probability given the range of the confidence interval
  26. 26The multiplier used to calculate a confidence interval is:The critical value calculated using qnorm(alpha value/2,mean=,sd=,lower.tail =TRUE/FALSE)
  27. 27The t distribution is ____, and gives larger ___ reflecting a ___A family of curves that has a specific degree of freedom in relation to the size of the sample, critical values, wider and less precise confidence interval.
  28. 28The T distribution is used whenthe distribution of X is normal, and when the sample size is sufficiently large.
  29. 29The T multiplier is found by the code:qt(p,df) where p = a specific probability and df= degrees of freedom
    the probability will be the tail areas we are excluding therefore 1-alpha value/2
  30. 30For intervals using 1 single sample mean the degrees of freedom will be equal to:v = n - 1
  31. 31A 99% confidence interval is wider than the 95% confidence interval because :That is the price we pay to be more sure that the interval contains the true mean
  32. 32If the sample size is smaller the interval will beWider, it is less precise due to the lack of data
  33. 33When sample size calculations:The standard multiplier is used (1.96 for 95% CI)

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FlashCards sobre STATS TEST 2, criado por Bex Chrystall em 01-09-2017.
Criado por
Bex Chrystall
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