https://padlet.com/mrtylerallen03/2h37dj41wgdirzd7 en-us 2020-06-22 21:52:27 UTC 2020-06-22 22:20:59 UTC hello@padlet.com mrtylerallen03 https://padlet.com/mrtylerallen03/2h37dj41wgdirzd7/wish/636676325 1) Students learn how to examine "successes" in a chance process using repeated observations of random outcomes.
2) Students doing the same experiment will get nearly the same results.
3) Students understand that probability is a long process that take more than ten trials to get results.
4)Students must understand the relationship between relative frequency and probability.  When one knows the structure of the generating mechanism, they can predict the relative frequency of random selection.  If one does not know the contents of the generating mechanism, they need to first make many random selections prior to estimating the relative frequency.
5) "A probability model provides a probability for each non-overlapping outcome for a chance process so that the total probability over all such outcomes is unity"(CCSWT, p.7). All possible individual outcomes is referred to as the sample space.]]> 2020-06-22 21:55:30 UTC https://padlet.com/mrtylerallen03/2h37dj41wgdirzd7/wish/636676325 mrtylerallen03 https://padlet.com/mrtylerallen03/2h37dj41wgdirzd7/wish/636676557 1)  First time students create the data from statistical questions themselves.
2)  Students learn the value of random sampling and why it is used.
3) Students know what a "fair" random selection is, so understanding a "fair" random sample is easier than prior statistical concepts for these students to grasp.
4)Students understand how to find and create a sample when interviewing or collecting whole data sets is not reasonable or feasible to do.
5) Students can take the data they gathered themselves and apply it to graphs along with being able to speak about the data and what different parts represent.]]> 2020-06-22 21:55:51 UTC https://padlet.com/mrtylerallen03/2h37dj41wgdirzd7/wish/636676557 mrtylerallen03 https://padlet.com/mrtylerallen03/2h37dj41wgdirzd7/wish/636676654 1) The best way to estimate a population mean or median is to use random sampling of the population.
2) If all measurements in a population are known, there is no need to create a sample or compare data to calculate a measure of center.  All of the work has all ready been done.
3) Students will understand that means and medians will vastly vary from data set to data set.
4) Students will be able to decide which measure of center is best to use based on the situations presented in the data and understand why not to use the other.]]> 2020-06-22 21:56:00 UTC https://padlet.com/mrtylerallen03/2h37dj41wgdirzd7/wish/636676654