front 1 A characteristic or measure obtained by using the data values from a sample | back 1 Statistic |
front 2 A characteristic or measure obtained by using all the data values from a specific population | back 2 Parameter |
front 3 ymbol for population mean | back 3 M |
front 4 symbol for sample mean | back 4 _
|
front 5 The median is ______________ the mean by extrememly high or extrememly low values. | back 5 affected less than |
front 6 The mean is affected by _______. | back 6 extremely high or low values, called outliers, and may not be the appropriate average to use in these situations. |
front 7 n a positively skewed or right-skewed distribution the "tail" is _____ | back 7 O.
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front 8 In a negatively skewed or left-skewed distribution the "tail" is _____ | back 8 to the left |
front 9 Data values are evenly distributed on both sides of the mean; the distribution is unimodal; the mean, median and mode are the same and are at the center of the distribution | back 9 Symmetric Distribution |
front 10 he symbol for population standard deviation | back 10 O |
front 11 the symbol for sample standard deviation | back 11 s |
front 12 he symbol for sample variance | back 12 s2 |
front 13 he symbol for population variance | back 13 o2 |
front 14 When the standard deviation is large, | back 14 he more variable the data are. |
front 15 Coefficient of Variation is ________________________ . | back 15 used to compare standard deviation when the units are different |
front 16 Chebyshev theorem _____________ require a specific distribution. | back 16 does not |
front 17 Empirical Rule _______ require a bell-shaped/symmetric distribution | back 17 bell-shaped |
front 18 A student with a percentile rank of 81 would mean that the student ____________ of the students. | back 18 did better than 81% |
front 19 A z-score represents __________ | back 19 the number of standard deviation that a data value falls above or below the mean |
front 20 An outlier is _____________ . | back 20 an extremely high or extremely low data value when compared with the rest of the data values. |
front 21 A two-column chart listing the categories
| back 21 Frequency Distributions |
front 22 frequency/total
| back 22 Relative frequency |
front 23 A bar chart with the bars organized from most to least | back 23 Pareto Chart |
front 24 A circle segmented based on relative frequencies as percentages. | back 24 pie chart |
front 25 The set of numbers we are determining the frequency | back 25 class |
front 26 smallest & largest numbers that can be included in a class | back 26 class limits |
front 27 : the range of numbers that can be in a class | back 27 class width |
front 28 : are used to make sure we do not overlap the class limits | back 28 class boundaries |
front 29 the middle of the class | back 29 class midpoint |
front 30 (largest data value - smallest value)/# classes*
| back 30 Class width = |
front 31 single value for the class | back 31 Ungrouped |
front 32 range of values for the class | back 32 grouped |
front 33 The sum of the frequencies up to and including that class | back 33 Cumulative frequency |
front 34 describe the sample/population | back 34 desriptive statisctics |
front 35 inferance about the sample or population | back 35 inferential statistics |
front 36 a characteristic or attribute that can assume different variables | back 36 variable |
front 37 occur by chance | back 37 random variable |
front 38 are the values the variables can be | back 38 data |
front 39 each individual value | back 39 data value/datum |
front 40 is all the data | back 40 data set |
front 41 ex: zip code | back 41 qualitative |
front 42 gender, height, weight | back 42 quantitative |
front 43 countable | back 43 discrete |
front 44 often measurements usually a range | back 44 continuous |
front 45 variables that are assoiciated with what we are trying to measure and influence our outcome | back 45 confounding variables |
front 46 samples in which each subject did not have the same chance of being selected | back 46 bias sample |
front 47 the 1st subject is selected than every 5th subject after that | back 47 systemic sampling |
front 48 subjects are split into groups or strata and from each group are selected at random | back 48 stratified sampling |
front 49 the population can naturally be classified into groups or clusters | back 49 cluster smapling |
front 50 the group we leave alone | back 50 control group |
front 51 the group the treatment is given | back 51 experimental group |
front 52 the variable that explains our response | back 52 independent variable |
front 53 the vraiable that measures the response | back 53 dependent variable |
front 54 the treatment applies is unknown | back 54 blinding |
front 55 subject patient only doesnt know the treatment | back 55 single blinding |
front 56 subject/patient and doctor doesnt know the treatment | back 56 double blinding |
front 57 the sample may not be representative of the population | back 57 suspect samples |
front 58 the word average takes on different meansings (mean, median, mode) | back 58 ambiguious averages |
front 59 the results can be reported in such a way that makes it appear horrific | back 59 changing the subject |
front 60 the statistics may not be compared to anything and is therefore detached | back 60 detached statistics |
front 61 often times studies people imply a product may benefit you in one way or another | back 61 implied connections |