Measures of Position
... The phrase, ”Comparing apples to oranges,” is used to imply that two things being compared really can’t be. An example would be SAT to ACT scores. The tests have different measuring scales and it’s hard to know if a score of 620 on the SAT verbal section is equal to a score of 18 on the ACT verbal. ...
... The phrase, ”Comparing apples to oranges,” is used to imply that two things being compared really can’t be. An example would be SAT to ACT scores. The tests have different measuring scales and it’s hard to know if a score of 620 on the SAT verbal section is equal to a score of 18 on the ACT verbal. ...
Chapter 1: Exploring Data Review
... Five-number summary of a set of observations = the smallest observation, the first quartile, the median, the third quartile, and the largest observation written smallest to largest. Boxplot- graph of the five-number summary. Interquartile range- the distance between the quartiles (the range of the c ...
... Five-number summary of a set of observations = the smallest observation, the first quartile, the median, the third quartile, and the largest observation written smallest to largest. Boxplot- graph of the five-number summary. Interquartile range- the distance between the quartiles (the range of the c ...
Collecting Data
... 2. Descriptive Analysis – Describes your observations using numbers, tables, charts, and graphs – look for trends or relationships 3. Probability – Tells us how confident we can be in our results. 4. Inference – Making decisions or predictions based on the data and probability ...
... 2. Descriptive Analysis – Describes your observations using numbers, tables, charts, and graphs – look for trends or relationships 3. Probability – Tells us how confident we can be in our results. 4. Inference – Making decisions or predictions based on the data and probability ...
Section 3.1 Beyond Numbers What Does Infinity Mean?
... Standard Deviation – a measure of how far the average data point differs (or deviates) from the ...
... Standard Deviation – a measure of how far the average data point differs (or deviates) from the ...
Lies, Damn Lies, and Statistics: Data Analysis, Interpretation
... • Mean, median, standard deviation test of significance, meaningfulness ...
... • Mean, median, standard deviation test of significance, meaningfulness ...
D Data Mining: Payoffs and Pitfalls
... been classified and inferring a set of rules from them. Clustering is related to classification, but differs in that no groups have yet been defined. Using clustering, the data-mining tool discovers different groupings within the data. The resulting groups or clusters help the end user make some sen ...
... been classified and inferring a set of rules from them. Clustering is related to classification, but differs in that no groups have yet been defined. Using clustering, the data-mining tool discovers different groupings within the data. The resulting groups or clusters help the end user make some sen ...
Consider the following data set:
... Since the data is right-skewed then the median is less than the mean. This is because a few data points on the right of the distribution pull up the mean. We have already discussed that the median of 52 is a better measure of the center of this data set. Definition: the kth-percentile ( Pk ) of a da ...
... Since the data is right-skewed then the median is less than the mean. This is because a few data points on the right of the distribution pull up the mean. We have already discussed that the median of 52 is a better measure of the center of this data set. Definition: the kth-percentile ( Pk ) of a da ...
Review Topics for
... Validation of the “goodness” of a proposed data mining method is usually carried out by “scoring” a “trained” model on a validation data set and then examining the accuracy of the model vis-à-vis its competitors. (This is called the technique of Cross-Validation.) How is “accuracy” measured in predi ...
... Validation of the “goodness” of a proposed data mining method is usually carried out by “scoring” a “trained” model on a validation data set and then examining the accuracy of the model vis-à-vis its competitors. (This is called the technique of Cross-Validation.) How is “accuracy” measured in predi ...
Understanding Standard Deviation
... start, but there are too many of them and because some are positive and some negative, their average is zero. We want to make the deviations all positive. One could use an absolute value, but the approach used in the standard deviation is to square the deviations. (Note that the unit here would be ...
... start, but there are too many of them and because some are positive and some negative, their average is zero. We want to make the deviations all positive. One could use an absolute value, but the approach used in the standard deviation is to square the deviations. (Note that the unit here would be ...
Descriptive Statistics
... • Used to describe the main trends in the data • Used to summarise the raw data from research into a more meaningful form. What does this include? • measures of central tendency e.g. mean • Measures of dispersion e.g. range • Graphical representations of data e.g. bar chart ...
... • Used to describe the main trends in the data • Used to summarise the raw data from research into a more meaningful form. What does this include? • measures of central tendency e.g. mean • Measures of dispersion e.g. range • Graphical representations of data e.g. bar chart ...
How tall are Aprende 8th Graders?
... that males are taller than females. 32% of the males are 170 cm or taller and only 12% of the females are 170 cm or taller. ...
... that males are taller than females. 32% of the males are 170 cm or taller and only 12% of the females are 170 cm or taller. ...
Chapter 10
... is one of them. • Tony needs to have an operation. 90% of people who have this operation make a complete recovery. There is a 90% chance he will make a complete recovery. • Karen buys two raffle tickets. If she chooses two tickets from different places in the book he is more likely to win than if he ...
... is one of them. • Tony needs to have an operation. 90% of people who have this operation make a complete recovery. There is a 90% chance he will make a complete recovery. • Karen buys two raffle tickets. If she chooses two tickets from different places in the book he is more likely to win than if he ...
Overview for measures of central tendency and
... Continuous Distributions: These distributions are very important in performing statistical tests used to make decisions about data. Normal: - The most common distribution - Has a bell-shaped curve - Height, weight, test scores usually have a normal distribution T-distribution: - Has a similar shape ...
... Continuous Distributions: These distributions are very important in performing statistical tests used to make decisions about data. Normal: - The most common distribution - Has a bell-shaped curve - Height, weight, test scores usually have a normal distribution T-distribution: - Has a similar shape ...
Vocabulary
... Statistical Question (A question that anticipates variability in the data that would be collected in order to answer the question.) ...
... Statistical Question (A question that anticipates variability in the data that would be collected in order to answer the question.) ...
