G10 Q3 Research

Cards (71)

  • Central Tendency is the most effective way of describing a group of measurement or scores
  • Mean, Median, Mode are measures of central tendency.
  • Mean is the center of gravity; sum of all values divided by the no. of values
  • Use mean when it is distributed symmetrically around central point, greatest stability, and if there is a need to compute for other parameter/statistic
  • mean in excel - =AVERAGE(values)
  • median in excel - =MEDIAN(values)
  • Mean is affected by very high or very low scores
  • Median is the measure of central tendency and concerned only with the midpoint
  • The median divides the distributions of scores into two equal parts
  • Mode is the single measure which occurs most frequently
  • A quick and approximate measure of central tendency when it is the most typical value
  • Population is any specific collection of objects of interest
  • Sample is any subset or subcollection of the population
  • Measurement attributes to the computed population or sample
  • Counting and Measuring are two types of measurement
  • Parameter are the number that summarizes some aspect of population as a whole
  • Parameter - population
  • Statistic - sample
  • Statistics, branch of mathematics that deals with collection, org, analysis and interpretation of numerical data
  • Inferential statistics - used to make conclusions about populations based on samples
  • Descriptive statistics - used to describe characteristics of data
  • Types of Statistics are descriptive, inferential and correlational
  • Correlational is used to study the reliability and validity
  • Discrete - can be done by counting
  • Continuous - gathered by measuring
  • 2 human sources of error are human error & instrument error
  • Human error is the one who is making the measurements and the one who is taking the measurements.
  • Instrument error is the accuracy of the instrument used; should be valid & reliable
  • Significant figures are numbers that are used to express it to the required degree of accuracy
  • 4250 - 3
    2080 - 3
    30,050. - 5
    0.00703 - 3
    5030.0 - 5
    750,065,080 - 9
    370. - 3
    10.0 - 3
    701.001 - 6
    37,000 - 2
  • Degree of Error is 5%
  • Importance of statistics for sci works, entertainment, school, business, politics, and sports
  • Mean (parameter) μ , (statistic) x̄
  • Variability determines how well you can generalize results and how far points lie
  • Low v. - idea, better info & population
    High v. - values are less consistent & harder to predict
  • Standard Deviation is the ave. amount of variability in data set
  • Range is the spread of data from the lowest to highest value
  • in range, we subtract lowest value from the highest v.
  • Outliers are extreme values that have a big impact on statistical analyse
  • variance is the average of squared deviation from mean