MATH 225N Week 1 Discussion: Basic Statistics Data Used in Everyday Life<\/span><\/p>\n In\u00a0Week One<\/strong>\u00a0we studied several methods of sampling including cluster, systematic, stratified, convenience, and simple random sampling.\u00a0 We strive to have so-called “unbiased” samples.\u00a0 Another method for gathering and collecting data is a so-called “census.”<\/p>\n <\/p>\n We learned about qualitative ( categorical ) variables and quantitative variables.\u00a0 We learned about nominal, ordinal, interval, and ratio levels of measurement.<\/p>\n <\/p>\n We learned a little bit about observational studies and we learned a little bit about ( scientific ) experiments.\u00a0 We learned about placebos and about control groups and experimental ( treatment ) groups.\u00a0 We learned about “blinding” and most particularly about so-called “double blinding.”<\/p>\n <\/p>\n We started to study shape, center, and spread of distributions of variables.<\/p>\n <\/p>\n Some common shapes are symmetrical ( bell shaped ) , skewed left, skewed right, uniform, bimodal, and multi modal.<\/p>\n <\/p>\n We started to foreshadow the extensive use of various\u00a0Excel spread sheet calculators<\/strong>\u00a0during the course ( please see\u00a0Files<\/strong>\u00a0along the left of the computer screen and then click around in various places to find them ) and the potential to use the TI 84+ graphing calculator for many of the needed calculations in the course ( check your e-mail for a link to a free 90 day trial \/ download straight to your desktop ) .<\/p>\n <\/p>\n Thanks Friends and please get off to a very fast start in\u00a0Week 2<\/strong>\u00a0and again in\u00a0Week 3<\/strong>\u00a0!!\u00a0 You want to allow time and energy to actually start working on\u00a0Week 4<\/strong>\u00a0Knewton Homework Assignments before\u00a0Week 4<\/strong>\u00a0even actually officially begins !\u00a0 Enjoy the Week End Friends !!<\/p>\n Read\/review the following resources for this activity:<\/span>\u00a0<\/span><\/p>\n In your reference for this assignment, be sure to include both your text\/class materials AND your outside reading(s).<\/span>\u00a0<\/span><\/p>\n Respond to at least two peers or one peer and the instructor. Further the dialogue by providing more information and clarification.<\/span>\u00a0<\/span><\/p>\n Your responses to other students can explain additional analyses that could be done with the variables they selected. Consider confounding variables, discrete or continuous data, the effects of outliers, etc.<\/span>\u00a0<\/span><\/p>\n This activity will be graded using the Discussion Grading Rubric. Please review the following link:<\/span>\u00a0<\/span><\/p>\n Course Outcomes (CO): 1, 2<\/span><\/b>\u00a0<\/span><\/p>\n Due Date for Initial Post: By 11:59 p.m. MT on Wednesday<\/span><\/b>\u00a0<\/span><\/p>\n Due Date for Follow-Up Posts: By 11:59 p.m. MT on Sunday<\/span><\/b>\u00a0<\/span><\/p>\n This topic is closed for comments.<\/span>\u00a0<\/span><\/p>\n Search entries or author\u202fFilter replies by unread<\/span>[Control]Unread\u202f\u202f \u202f\u202fCollapse replies\u202fExpand replies<\/span>\u00a0<\/span><\/p>\n \u202f<\/span><\/a><\/p>\n For grading purposes, this particular discussion posting area runs from Sunday Jan 3 through Sunday Jan 10, inclusively.<\/span>\u00a0<\/span><\/p>\n \u202f<\/span>\u00a0<\/span>We explore Descriptive Statistics and the fundamentals of sampling techniques and quantitative research<\/a> and research design this Week. This includes data, experimental design, so-called descriptive statistics, distributions, graphs and graphical displays, and measures of central tendency, variation, and position. At a somewhat basic and introductory level, we sometimes try to describe distributions using concepts of “shape, center, and spread.” Central tendency refers to “center” and variation refers to “spread.”<\/span>\u00a0<\/span><\/p>\n \u202f<\/span>\u00a0<\/span>Please don’t forget to use an “<\/span>outside<\/span><\/b>” resource as part of the content and documentation for your first Post – the Post which is due on or before Wednesday of the Week – the Post where you make the most major contribution to the Weekly discussion posting area and attempt to address the discussion prompts \/ cues for the Week.\u202f It could possibly include a web site that you discovered on the internet at large, so long as the web site is relevant and substantial and does not violate the Chamberlain University policy for prohibited web sites, and so forth.\u202f It could possibly include references \/ resources that you discover through making use of the online Chamberlain University Library ( please click Resources along the left and then click Library to discover the link to the Chamberlain University online Library\u00a0<\/span>\u202f<\/span>\u00a0<\/span><\/p>\n Please check out the link below to see some of the key similarities and key differences between Bar Plots \/ Graphs \/ Charts and Histograms.<\/span>\u00a0<\/span><\/p>\n \u202f<\/span>\u00a0<\/span>Link\u202f(Links to an external site.)Links to an external site.<\/span><\/a> \u202f<\/span>\u00a0<\/span>This is one kind of an example of using an “outside” source \/ resource to add to what is revealed in our Weekly Lesson in Modules and in our Weekly text book reading.<\/span>\u00a0<\/span><\/p>\n \u202f<\/span>\u00a0<\/span>Please don’t forget to look over the Graded Discussion Posting Rubric each Week to be certain that you are meeting all of the Frequency requirements as well as all of the Quality requirements for graded discussion posting each Week.<\/span>\u00a0<\/span><\/p>\n \u202f<\/span>\u00a0<\/span>If you have any questions about anything, please do not hesitate to post in the Q & A Forum discussion posting area or to send me a direct e-mail message to\u202f\u202f<\/span>CSmith10@chamberlain.edu<\/span><\/a>\u00a0<\/span><\/p>\n \u202f<\/span>\u00a0<\/span>Thanks Friends and Good Luck !\u202f Work hard and learn a lot !!<\/span>\u00a0<\/span><\/p>\nRequired Resources<\/span><\/b>\u00a0<\/span><\/h3>\n
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Initial Post Instructions<\/span><\/b>\u00a0<\/span><\/h3>\n
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Follow-Up Post Instructions<\/span><\/b>\u00a0<\/span><\/h3>\n
Writing Requirements<\/span><\/b>\u00a0<\/span><\/h3>\n
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Grading<\/span><\/b>\u00a0<\/span><\/h3>\n
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