https://padlet.com/adevincenzi/6vcbjvst4pis en-us 2016-02-16 19:35:09 UTC 2016-03-02 00:46:29 UTC hello@padlet.com adevincenzi https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397428 Understand that patterns of association can also be seen in bivariate categorical data by displaying frequencies and relative frequencies in a two-way table. Construct and interpret a two-way table summarizing data on two categorical variables collected from the same subjects. Use relative frequencies calculated for rows or columns to describe possible association between the two variables.]]> 2016-02-16 19:04:20 UTC https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397428 adevincenzi https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397429 Use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercept.]]> 2016-02-16 19:03:44 UTC https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397429 adevincenzi https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397430 Know that straight lines are widely used to model relationships between two quantitative variables. For scatter plots that suggest a linear association, informally fit a straight line, and informally assess the model fit by judging the closeness of the data points to the line.]]> 2016-02-16 19:03:29 UTC https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397430 adevincenzi https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397432 Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.]]> 2016-02-16 19:03:11 UTC https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397432 adevincenzi https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397433 Use measures of center and measures of variability for numerical data from random samples to draw informal comparative inferences about two populations. ]]> 2016-02-16 19:01:53 UTC https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397433 adevincenzi https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397434 Draw informal comparative inferences about two populations.]]> 2016-02-16 19:01:18 UTC https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397434 adevincenzi https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397435 Investigate patterns of association in bivariate data.]]> 2016-02-16 19:02:19 UTC https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397435 adevincenzi https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397436 Informally assess the degree of visual overlap of two numerical data distributions with similar variabilities, measuring the difference between the centers by expressing it as a multiple of a measure of variability.]]> 2016-02-16 19:01:36 UTC https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397436 adevincenzi https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397437 Use random sampling to draw inferences about a population.]]> 2016-02-16 19:00:51 UTC https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397437 adevincenzi https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397438 Use data from a random sample to draw inferences about a population with an unknown characteristic of interest. Generate multiple samples (or simulated samples) of the same size to gauge the variation in estimates or predictions.]]> 2016-02-16 19:00:23 UTC https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397438 adevincenzi https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397439 Understand that statistics can be used to gain information about a population by examining a sample of the population; generalizations about a population from a sample are valid only if the sample is representative of that population. Understand that random sampling tends to produce representative samples and support valid inferences.]]> 2016-02-16 19:00:04 UTC https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397439 adevincenzi https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397440 Summarize and describe distributions.]]> 2016-02-16 18:59:44 UTC https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397440 adevincenzi https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397441 Summarize numerical data sets in relation to their context, such as by:  Relating the choice of measures of center and variability to the shape of the data distribution and the context in which the data were gathered.]]> 2016-02-16 18:58:59 UTC https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397441 adevincenzi https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397442 Summarize numerical data sets in relation to their context, such as by:  Giving quantitative measures of center (median and/or mean) and variability (interquartile range and/or mean absolute deviation), as well as describing any overall pattern and any striking deviations from the overall pattern with reference to the context in which the data were gathered.]]> 2016-02-16 18:58:21 UTC https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397442 adevincenzi https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397443 Summarize numerical data sets in relation to their context, such as by:  Describing the nature of the attribute under investigation, including how it was measured and its units of measurement.]]> 2016-02-16 18:57:43 UTC https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397443 adevincenzi https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397444 Summarize numerical data sets in relation to their context, such as by:  Reporting the number of observations.]]> 2016-02-16 18:57:04 UTC https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397444 adevincenzi https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397445 Display numerical data in plots on a number line, including dot plots, histograms, and box plots.]]> 2016-02-16 18:56:12 UTC https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397445 adevincenzi https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397446 Develop understanding of statistical variability.]]> 2016-02-16 18:55:47 UTC https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397446 adevincenzi https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397447 Recognize that a measure of center for a numerical data set summarizes all of its values with a single number, while a measure of variation describes how its values vary with a single number.]]> 2016-02-16 18:55:27 UTC https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397447 adevincenzi https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397448 Understand that a set of data collected to answer a statistical question has a distribution which can be described by its center, spread, and overall shape.]]> 2016-02-16 18:55:06 UTC https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397448 adevincenzi https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397449 Recognize a statistical question as one that anticipates variability in the data related to the question and accounts for it in the answers.]]> 2016-02-16 18:54:31 UTC https://padlet.com/adevincenzi/6vcbjvst4pis/wish/95397449