\n| \n Total specials sold<\/p>\n<\/td>\n | \n 119<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n 4.\u00a0
\nSuppose you are working
\nwith a data set that has some different (much larger or much smaller than the
\nrest of the data) scores. What measure of central tendency would you use and
\nwhy?<\/p>\n 5.\u00a0
\nFor the following set of
\nscores, compute the range, the unbiased and the biased standard deviations, and
\nthe variance. Do the exercise by hand.<\/p>\n 31, 42, 35, 55, 54, 34, 25, 44, 35<\/p>\n Why is the unbiased
\nestimate greater than the biased estimate?<\/p>\n 6.\u00a0
\nUse IBM\u00ae<\/sup>SPSS\u00ae<\/sup>software to compute all the
\ndescriptive statistics for the following set of three test scores over the
\ncourse of a semester. Which test had the highest average score? Which test had
\nthe smallest amount of variability?<\/p>\n<\/p>\n\n\n\n| \n Test 1<\/p>\n<\/td>\n | \n Test 2<\/p>\n<\/td>\n | \n Test 3<\/p>\n<\/td>\n<\/tr>\n | \n| \n 50<\/p>\n<\/td>\n | \n 50<\/p>\n<\/td>\n | \n 49<\/p>\n<\/td>\n<\/tr>\n | \n| \n 48<\/p>\n<\/td>\n | \n 49<\/p>\n<\/td>\n | \n 47<\/p>\n<\/td>\n<\/tr>\n | \n| \n 51<\/p>\n<\/td>\n | \n 51<\/p>\n<\/td>\n | \n 51<\/p>\n<\/td>\n<\/tr>\n | \n| \n 46<\/p>\n<\/td>\n | \n 46<\/p>\n<\/td>\n | \n 55<\/p>\n<\/td>\n<\/tr>\n | \n| \n 49<\/p>\n<\/td>\n | \n 48<\/p>\n<\/td>\n | \n 55<\/p>\n<\/td>\n<\/tr>\n | \n| \n 48<\/p>\n<\/td>\n | \n 53<\/p>\n<\/td>\n | \n 45<\/p>\n<\/td>\n<\/tr>\n | \n| \n 49<\/p>\n<\/td>\n | \n 49<\/p>\n<\/td>\n | \n 47<\/p>\n<\/td>\n<\/tr>\n | \n| \n 49<\/p>\n<\/td>\n | \n 52<\/p>\n<\/td>\n | \n 45<\/p>\n<\/td>\n<\/tr>\n | \n| \n 50<\/p>\n<\/td>\n | \n 48<\/p>\n<\/td>\n | \n 46<\/p>\n<\/td>\n<\/tr>\n | \n| \n 50<\/p>\n<\/td>\n | \n 55<\/p>\n<\/td>\n | \n 53<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n 7.\u00a0
\nThis practice problem uses
\nthe data contained in the file named Ch. 3 Data Set 3. There are two variables
\nin this data set.<\/p>\n<\/p>\n \n\n\n| \n Variable<\/p>\n<\/td>\n | \n Definition<\/p>\n<\/td>\n<\/tr>\n | \n| \n Height<\/p>\n<\/td>\n | \n Height in inches<\/p>\n<\/td>\n<\/tr>\n | \n| \n Weight<\/p>\n<\/td>\n | \n Weight in pounds<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n Using IBM\u00ae<\/sup>SPSS\u00ae<\/sup>software, compute all of the
\nmeasures of variability you can for height and weight.<\/p>\n8.\u00a0
\nReview the following
\nfrequency distribution. Create a histogram either by hand or by using some
\nother application such as a Microsoft\u00ae<\/sup>Excel\u00ae<\/sup>document.<\/p>\n<\/p>\n\n\n\n| \n Class interval<\/p>\n<\/td>\n | \n Frequency<\/p>\n<\/td>\n<\/tr>\n | \n| \n 90\u2013100<\/p>\n<\/td>\n | \n 12<\/p>\n<\/td>\n<\/tr>\n | \n| \n 80\u201389<\/p>\n<\/td>\n | \n 14<\/p>\n<\/td>\n<\/tr>\n | \n| \n 70\u201379<\/p>\n<\/td>\n | \n 20<\/p>\n<\/td>\n<\/tr>\n | \n| \n 60\u201369<\/p>\n<\/td>\n | \n 24<\/p>\n<\/td>\n<\/tr>\n | \n| \n 50\u201359<\/p>\n<\/td>\n | \n 28<\/p>\n<\/td>\n<\/tr>\n | \n| \n 40\u201349<\/p>\n<\/td>\n | \n 29<\/p>\n<\/td>\n<\/tr>\n | \n| \n 30\u201339<\/p>\n<\/td>\n | \n 21<\/p>\n<\/td>\n<\/tr>\n | \n| \n 20\u201329<\/p>\n<\/td>\n | \n 15<\/p>\n<\/td>\n<\/tr>\n | \n| \n 10\u201319<\/p>\n<\/td>\n | \n 17<\/p>\n<\/td>\n<\/tr>\n | \n| \n 0\u20139<\/p>\n<\/td>\n | \n 12<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n 9.\u00a0
\nA third-grade teacher is
\nlooking to improve her students\u2019 level of engagement during group discussions
\nand instruction. She keeps track of each of the 15 third graders\u2019 number of
\nresponses every day for 1 week. This information is available in Ch. 4 Data Set
\n2. Use IBM\u00ae<\/sup>SPSS\u00ae<\/sup>software to create a bar chart (one bar for each day).<\/p>\n10.\u00a0
\nIdentify whether these
\ndistributions are negatively skewed, positively skewed, or not skewed at all,
\nand why.<\/p>\n a.\u00a0
\nThis talented group of
\nathletes scored very high on the vertical jump task.<\/p>\n b.\u00a0
\nOn this incredibly crummy
\ntest, everyone received the same score.<\/p>\n c.\u00a0
\nOn the most difficult
\nspelling test of the year, the third graders wept as the scores were delivered.<\/p>\n 11.\u00a0
\nFor each of the following,
\nindicate whether you would use a pie, line, or bar chart, and why.<\/p>\n a.\u00a0
\nThe proportion of freshmen,
\nsophomores, juniors, and seniors in a particular university<\/p>\n b.\u00a0
\nChange in GPA over four
\nsemesters<\/p>\n c.\u00a0
\nNumber of applicants for
\nfour different jobs<\/p>\n d.\u00a0
\nReaction time to different
\nstimuli<\/p>\n e.\u00a0
\nNumber of scores in each of
\n10 categories<\/p>\n From Salkind (2011). Copyright \u00a9 2012 SAGE. All Rights
\nReserved. Adapted with permission.<\/h1>\n<\/p>\nPart B<\/h1>\n<\/p>\nComplete<\/b> the questions below. Be specific and provide
\nexamples when relevant. <\/p>\n Cite<\/b> any sources consistent with APA guidelines.<\/p>\n\n\n\n| \n Question<\/p>\n<\/td>\n | \n Answer<\/p>\n<\/td>\n<\/tr>\n | \n| \n Salkind (2011) describes statistics as a \u201cset of tools\u201d
\n(p. 18). How do behavioral scientists use those tools?<\/p>\n<\/td>\n<\/tr>\n | \n| \n How would you use descriptive statistics to report the
\neffectiveness of a baseball team? How would you use inferential statistics to
\nreport the effectiveness of a baseball team? In this example, what is the
\nsample and what is the population? <\/p>\n<\/td>\n<\/tr>\n | \n| \n What does a measure of central tendency tell us about a
\ndata set? Identify the three common measures of central tendency used in
\ndescriptive statistics and give an example of each. How do you calculate
\nthem?<\/p>\n<\/td>\n<\/tr>\n | \n| \n What is variability in a data set? Identify three measures
\nof variability used in descriptive statistics, explain how to calculate each,
\nand give an example of each. <\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n \n<\/div>\n","protected":false},"excerpt":{"rendered":" Some questions in Part A require that you access data from Statistics for People Who (Think They) Hate Statistics. This data is available on the student website under the Student Test Resources link. 1.\u00a0 By hand, compute the mean, median, and mode for the following set of 40 reading scores: SUMMARY 31 32 43 42 […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_joinchat":[]},"categories":[1],"tags":[],"_links":{"self":[{"href":"https:\/\/qualityassignments.net\/wp-json\/wp\/v2\/posts\/169924"}],"collection":[{"href":"https:\/\/qualityassignments.net\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/qualityassignments.net\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/qualityassignments.net\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/qualityassignments.net\/wp-json\/wp\/v2\/comments?post=169924"}],"version-history":[{"count":0,"href":"https:\/\/qualityassignments.net\/wp-json\/wp\/v2\/posts\/169924\/revisions"}],"wp:attachment":[{"href":"https:\/\/qualityassignments.net\/wp-json\/wp\/v2\/media?parent=169924"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/qualityassignments.net\/wp-json\/wp\/v2\/categories?post=169924"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/qualityassignments.net\/wp-json\/wp\/v2\/tags?post=169924"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}} | | | | |