Data and stats: week 4

Cards (20)

  • Scatter plots are data points that are connected by dot to dot lines to help make the overall trend clear
  • bar charts show data that have discrete or categorical values instead of a continuous range of values
  • Histograms illustrate frequency data and can be plotted as numbers of percentage
  • box and whisker allow you to easily see where most of the data in a test set full
  • standard error of the mean is a quantity that indicates the uncertainty in a calculated mean
  • confidence interval gives an estimated range of values that is likely to include the population parameter being studied standard deviation
  • chi-square compare observed data with data you would except to obtain according to a hypothesis
  • T-test determine if there is a big difference between the mean values of two groups
  • analysis of variance compares the mean of 2 or more sets of data by calculating how widely individual values in each set vary
  • correlation analysis whether there is a relationship/ correlation between two variables
  • regression analysis evaluate the scatter of data points around a line that best fit
  • p-value means the probability
  • causation means that one event is responsible for the occurrence of the other, while correlation means that 2 events appear occur together
  • both and rule applies when you want to know the probability of two or more independent events occurring together
  • either and rule applies when you want to know the probability of an event happening when there are two more alternative ways for that event to occur
  • When species respond to climate change they move, acclimate, adapt, die
  • A biased sample is a sample that does not represent the whole population.
  • Observation study is when individuals are observed or certain outcomes are measured
  • An experimental study is a study in which the researcher manipulates one of the variables, to determine how it influences other variables
  • R2 is a measure of the percentage of total variation in the dependent variable that is accounted for by the independent variable.