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STATISTICS 50 MISCELLENEOUS POINTS

1.Concept of normal distribution is given by De Mouire and person involved in this are Laplace, Gauss And W J Yoden.

 2.  Concept of regression is given by Sir Francis Galton In 1877

3. Spearman's method is the method of calculating coefficient of correlation by-- Charles Spearman.

4. Maximum value of correlation is-1

5. Correlation between income and demand is-Postive

6. Chi square (non parametric test) concept given by karl pearson. 

7.  F distribution is coined by George W Snedewr in Honour of Sir Ronald a fisher.

8. Concept of T- distribution is given by Ws Gooset. 

9.Random sampling method is also called probability sampling method.

10.Non random sampling method is also called non probability sampling method.

11.Random sampling methods are-

>Simple random sampling method >Stratified random sampling method >Systematic sampling method

 >Cluster sampling method ,Multistage sampling

13.Non random sampling methods are-

>Convenience sampling or chunk or incidental sampling > Judgement sampling

> Purposive sampling

>Quota sampling

>Snow ball sampling

14.Graph of variables having linear relation will be--Stright Line

15.Data which are collected for the first time are primary data.

16.Data is only quantitative.

17.Category of secondary data are also called paper source.

16. Median and mode are positional average.

17. Parametric test:- z test, t test, f test.

18. Non parametric test or distribution free test:- sign test, median test, Mann whitney u test, run test, k.s test, chi square test.

19. Z test is also called standard normal variable test, standard normal deviate test, approximation test, large scale test.

20. One tailed test is also known as direction test or right tailed test. F test and chi square test is one tailed test.

21.Two tailed test is called left tailed test as direction is not mention.

22. T test is also called t distribution & student t test, exact test, small test.

23. Conditions to accept & reject hypothesis-:

 1) Table value> calculated value= accept

2) Table value< calculated value= reject

24. Chi square is a non- parametric test

25.. Chi square lies from 0 to ∞

26. Chi square test is also known as :-

>Goodness of fit accumulation > Contingency table

 >Quantitative variables

>Co efficient of association

27. Degree of freedom = ( row-1) ( column -1)

28. F test in which value of numerator is always greater than denominator.

29. ∑ know as capital sigma.

30. Mode = 3median – 2mean

31.Ogive curve and frequency polygon are also 2d diagrams. angled diagrams.

  Ogive represent cumulative frequency and histogram frequency distribution and frequency polygon means many

 32. 3D , three dimensional diagrams are those cubes, sphere, cylinders and cuboid.

33. Type 1 error by rejecting a true null hypothesis and it is also known as producer error, alpha or level of significance.

34. Type 2 error by accepting the false null hypothesis also called consumer error ( 1- β) beta, power function of test or power curve, power of test.

35. Standard error ( SE) is standard deviation of the distribution of the sample mean. S.E = σ/√n

  36. In a normal distribution curve, since the curve is a bell shaped & symmetrical i.e mean=median=mode

37. Nominal scale=mode used, ordinal scale= mode & median, interval & ratio scale = mean, median, mode.

38. Concept of binomial distribution is given by James Bernoulli

39.Concept of poisson distribution is given by Simeon Poisson 

40.Standard deviation is also known as root Mean Square Deviation.

41.Standard deviation is affected by change of scale & independent of change of origin.

42. Positively skewed= mean>median>mode.

43. Negatively skewed= mode>median>mean.

44.Balance pattern= mean=median=mode.

45.Skewness means lack of symmetry or asymmetrical distribution.

46. Concept of co efficient of skewness given by Karl Pearson.

47. Minimum value of correlation is-1

48. Concept of correlation is given by karl pearson.

49.Correlation denotes from R and its values lies between -1 to 1.

50. Coefficient values lies between 0 to 1.

- Correlation is independent of both change of scale & origin.

-Regression is affected by change of scale & independent of change.

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