Define, provide examples and the purpose of the following:…

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Define, provide examples and the purpose of the following:

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  1. Descriptive statistics

 

  1. Inferential statistics

 

Define:

  1. Mode

 

  1. Medium

 

 

  1. Mean

 

 

Match the following: Nominal, Ordinal, interval and ratio

  1. ______Amount of emesis
  2. ______Scores on the ACT, SAT
  3. ______Height or weight
  4. ______Gender
  5. ______Satisfaction with nursing care
  6. ______Use or nonuse of contraception
  7. _____Class ranking
  8. _____Number of steps in a day or feet or meters walked
  9. _____Blood type
  10. ______Body temperature measured with a centigrade thermometer

 

Match the following statements: 

X                                             more homogeneous

N                                             skewed

Mode                                    percentile

Median                                SD

Range

Standard deviation

  1. ________measure of central tendency used with interval or ratio data.
  2. ________Abbreviation used for number of measures in a given data set. Ie: number of participants.
  3. _______Measure of variation that shows the lowest and highest number in a set.
  4. _______The percentage of cases a given score exceeds.
  5. _______Old abbreviation for the mean
  6. _______Marks the score where 50% of the scores are higher and 50% are lower.
  7. _______Describes a distribution characterized by a tail
  8. ______Abbreviation for standard deviation
  9. ______68% of the values in a normal distribution fall between +1 of this stat
  10. ______Very unstable measure
  11. ______The values that occur most frequently in a data set
  12. ______Describes a set of data with a standard deviation of 3 when compared with a set of data with a standard deviation of 12. 

Match the following:

Sample size                         Probability level

Degrees of freedom       Chi square test stat

Chi=square symbol

  1. X2_______
  2. 6_______
  3. N= 200_____________
  4. 33.0______
  5. p<.0001_______

 

Match the following: x2, hypothesis, inferential, negative, nonsymmetrical, null hypothesis, positive, sampling distributions, type I error, type II error

  1. We use inferential stats to test a _______________
  2. ___________________like the normal curve are the basis for all ________statistics.
  3. The ________states that there is no relationship between the variables.
  4. If a researcher accepts a null hypothesis that is NOT true, this is a ___________error.
  5. A statistic test for differences in proportions is ____test. 
  6. A researcher rejects a null hypothesis that is true:_____________error.

 

 

 

 

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