{"id":957,"date":"2022-01-11T18:26:45","date_gmt":"2022-01-11T18:26:45","guid":{"rendered":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/?post_type=chapter&p=957"},"modified":"2022-02-04T19:46:42","modified_gmt":"2022-02-04T19:46:42","slug":"3c","status":"publish","type":"chapter","link":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/chapter\/3c\/","title":{"raw":"3C","rendered":"3C"},"content":{"raw":"
\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
Season<\/strong><\/td>\r\nNum_clouds<\/strong><\/td>\r\n<\/tr>\r\n
1<\/td>\r\n4<\/td>\r\n<\/tr>\r\n
2<\/td>\r\n7<\/td>\r\n<\/tr>\r\n
3<\/td>\r\n5<\/td>\r\n<\/tr>\r\n
4<\/td>\r\n5<\/td>\r\n<\/tr>\r\n
5<\/td>\r\n6<\/td>\r\n<\/tr>\r\n
6<\/td>\r\n9<\/td>\r\n<\/tr>\r\n
7<\/td>\r\n10<\/td>\r\n<\/tr>\r\n
8<\/td>\r\n7<\/td>\r\n<\/tr>\r\n
9<\/td>\r\n9<\/td>\r\n<\/tr>\r\n
10<\/td>\r\n9<\/td>\r\n<\/tr>\r\n
11<\/td>\r\n10<\/td>\r\n<\/tr>\r\n
12<\/td>\r\n8<\/td>\r\n<\/tr>\r\n
13<\/td>\r\n8<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n
\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
Number of Clouds<\/strong><\/td>\r\nFrequency<\/strong><\/td>\r\n<\/tr>\r\n
4<\/td>\r\n<\/td>\r\n<\/tr>\r\n
5<\/td>\r\n<\/td>\r\n<\/tr>\r\n
6<\/td>\r\n<\/td>\r\n<\/tr>\r\n
7<\/td>\r\n<\/td>\r\n<\/tr>\r\n
8<\/td>\r\n<\/td>\r\n<\/tr>\r\n
<\/td>\r\n<\/td>\r\n<\/tr>\r\n
<\/td>\r\n<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
oscar_no<\/strong><\/td>\r\noscar_yr<\/strong><\/td>\r\naward<\/strong><\/td>\r\nname<\/strong><\/td>\r\nmovie<\/strong><\/td>\r\nage<\/strong><\/td>\r\nbirth_pl<\/strong><\/td>\r\nbirth_mo<\/strong><\/td>\r\nbirth_d<\/strong><\/td>\r\nbirth_y<\/strong><\/td>\r\n<\/tr>\r\n
1<\/td>\r\n1929<\/td>\r\nBest actress<\/td>\r\nJanet Gaynor<\/td>\r\n7th Heaven<\/td>\r\n22<\/td>\r\nPennsylvania<\/td>\r\n10<\/td>\r\n6<\/td>\r\n1906<\/td>\r\n<\/tr>\r\n
2<\/td>\r\n1930<\/td>\r\nBest actress<\/td>\r\nMary Pickford<\/td>\r\nCoquette<\/td>\r\n37<\/td>\r\nCanada<\/td>\r\n4<\/td>\r\n8<\/td>\r\n1892<\/td>\r\n<\/tr>\r\n
3<\/td>\r\n1931<\/td>\r\nBest actress<\/td>\r\nNorma Shearer<\/td>\r\nThe Divorcee<\/td>\r\n28<\/td>\r\nCanada<\/td>\r\n8<\/td>\r\n10<\/td>\r\n1902<\/td>\r\n<\/tr>\r\n
4<\/td>\r\n1932<\/td>\r\nBest actress<\/td>\r\nMarie Dressler<\/td>\r\nMin and Bill<\/td>\r\n63<\/td>\r\nCanada<\/td>\r\n11<\/td>\r\n9<\/td>\r\n1868<\/td>\r\n<\/tr>\r\n
5<\/td>\r\n1933<\/td>\r\nBest actress<\/td>\r\nHelen Hayes<\/td>\r\nThe Sin of Madelon Claudet<\/td>\r\n32<\/td>\r\nWashington DC<\/td>\r\n10<\/td>\r\n10<\/td>\r\n1900<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n
\r\n\r\n\"A \"A\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
Skill or Concept: I can . . .<\/td>\r\nQuestions to check your understanding<\/td>\r\nRating\r\nfrom 1 to 5<\/td>\r\n<\/tr>\r\n
Identify quantitative variables and the plots used to visualize their distributions.<\/td>\r\n1, 2<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Use technology to make a plot of the distribution of a quantitative variable.<\/td>\r\n4, 6, 7<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Use a histogram to describe a distribution.<\/td>\r\n5<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Identify how bin width affects a histogram.<\/td>\r\n6<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Use a dotplot to describe a distribution.<\/td>\r\n8<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Identify the population and sample and explain limitations on the scope of the analysis based on sample data.<\/td>\r\n9<\/td>\r\n<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\nGlossary\r\n
\r\n \t
\r\n
\r\n \t
dotplot<\/dt>\r\n \t
a graphical display for quantitative data where each dot represents an observation.<\/dd>\r\n<\/dl>\r\n
\r\n \t
histogram<\/dt>\r\n \t
a graphical display that groups observations into bins rather than having a single dot for each observation.<\/dd>\r\n<\/dl>\r\n
\r\n \t
bin<\/dt>\r\n \t
a range of values that the quantitative variable can take.<\/dd>\r\n<\/dl>\r\n
\r\n \t
endpoints<\/dt>\r\n \t
the smallest and largest values of the quantitative variable represented in the bin.<\/dd>\r\n<\/dl>\r\n
\r\n \t
width<\/dt>\r\n \t
a numerical value that is calculated by the difference in the values of the end points.<\/dd>\r\n<\/dl>\r\n
\r\n \t
population<\/dt>\r\n \t
the group of individuals or entities that our research or survey questions pertain to.<\/dd>\r\n<\/dl>\r\n
\r\n \t
sample<\/dt>\r\n \t
a group of individuals or entities on which we collect data.<\/dd>\r\n<\/dl>\r\n
\r\n \t
representative<\/dt>\r\n \t
when the characteristics of a sample tend to match the characteristics of the population.<\/dd>\r\n<\/dl>\r\n
\r\n \t
generalize<\/dt>\r\n \t
when the sample is representative of the population, this transfers our analysis of the sample to the population.<\/dd>\r\n<\/dl>\r\n<\/dt>\r\n<\/dl>\r\n<\/div>\r\n<\/div>\r\n<\/div>","rendered":"
\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Season<\/strong><\/td>\nNum_clouds<\/strong><\/td>\n<\/tr>\n
1<\/td>\n4<\/td>\n<\/tr>\n
2<\/td>\n7<\/td>\n<\/tr>\n
3<\/td>\n5<\/td>\n<\/tr>\n
4<\/td>\n5<\/td>\n<\/tr>\n
5<\/td>\n6<\/td>\n<\/tr>\n
6<\/td>\n9<\/td>\n<\/tr>\n
7<\/td>\n10<\/td>\n<\/tr>\n
8<\/td>\n7<\/td>\n<\/tr>\n
9<\/td>\n9<\/td>\n<\/tr>\n
10<\/td>\n9<\/td>\n<\/tr>\n
11<\/td>\n10<\/td>\n<\/tr>\n
12<\/td>\n8<\/td>\n<\/tr>\n
13<\/td>\n8<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n\n\n\n\n\n\n\n\n\n\n
Number of Clouds<\/strong><\/td>\nFrequency<\/strong><\/td>\n<\/tr>\n
4<\/td>\n<\/td>\n<\/tr>\n
5<\/td>\n<\/td>\n<\/tr>\n
6<\/td>\n<\/td>\n<\/tr>\n
7<\/td>\n<\/td>\n<\/tr>\n
8<\/td>\n<\/td>\n<\/tr>\n
<\/td>\n<\/td>\n<\/tr>\n
<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n\n\n\n\n\n
oscar_no<\/strong><\/td>\noscar_yr<\/strong><\/td>\naward<\/strong><\/td>\nname<\/strong><\/td>\nmovie<\/strong><\/td>\nage<\/strong><\/td>\nbirth_pl<\/strong><\/td>\nbirth_mo<\/strong><\/td>\nbirth_d<\/strong><\/td>\nbirth_y<\/strong><\/td>\n<\/tr>\n
1<\/td>\n1929<\/td>\nBest actress<\/td>\nJanet Gaynor<\/td>\n7th Heaven<\/td>\n22<\/td>\nPennsylvania<\/td>\n10<\/td>\n6<\/td>\n1906<\/td>\n<\/tr>\n
2<\/td>\n1930<\/td>\nBest actress<\/td>\nMary Pickford<\/td>\nCoquette<\/td>\n37<\/td>\nCanada<\/td>\n4<\/td>\n8<\/td>\n1892<\/td>\n<\/tr>\n
3<\/td>\n1931<\/td>\nBest actress<\/td>\nNorma Shearer<\/td>\nThe Divorcee<\/td>\n28<\/td>\nCanada<\/td>\n8<\/td>\n10<\/td>\n1902<\/td>\n<\/tr>\n
4<\/td>\n1932<\/td>\nBest actress<\/td>\nMarie Dressler<\/td>\nMin and Bill<\/td>\n63<\/td>\nCanada<\/td>\n11<\/td>\n9<\/td>\n1868<\/td>\n<\/tr>\n
5<\/td>\n1933<\/td>\nBest actress<\/td>\nHelen Hayes<\/td>\nThe Sin of Madelon Claudet<\/td>\n32<\/td>\nWashington DC<\/td>\n10<\/td>\n10<\/td>\n1900<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n

\"A \"A<\/p>\n\n\n\n\n\n\n\n\n\n
Skill or Concept: I can . . .<\/td>\nQuestions to check your understanding<\/td>\nRating
\nfrom 1 to 5<\/td>\n<\/tr>\n
Identify quantitative variables and the plots used to visualize their distributions.<\/td>\n1, 2<\/td>\n<\/td>\n<\/tr>\n
Use technology to make a plot of the distribution of a quantitative variable.<\/td>\n4, 6, 7<\/td>\n<\/td>\n<\/tr>\n
Use a histogram to describe a distribution.<\/td>\n5<\/td>\n<\/td>\n<\/tr>\n
Identify how bin width affects a histogram.<\/td>\n6<\/td>\n<\/td>\n<\/tr>\n
Use a dotplot to describe a distribution.<\/td>\n8<\/td>\n<\/td>\n<\/tr>\n
Identify the population and sample and explain limitations on the scope of the analysis based on sample data.<\/td>\n9<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Glossary<\/p>\n

\n
\n<\/dt>\n
dotplot<\/dt>\n
a graphical display for quantitative data where each dot represents an observation.<\/dd>\n<\/dl>\n
\n
histogram<\/dt>\n
a graphical display that groups observations into bins rather than having a single dot for each observation.<\/dd>\n<\/dl>\n
\n
bin<\/dt>\n
a range of values that the quantitative variable can take.<\/dd>\n<\/dl>\n
\n
endpoints<\/dt>\n
the smallest and largest values of the quantitative variable represented in the bin.<\/dd>\n<\/dl>\n
\n
width<\/dt>\n
a numerical value that is calculated by the difference in the values of the end points.<\/dd>\n<\/dl>\n
\n
population<\/dt>\n
the group of individuals or entities that our research or survey questions pertain to.<\/dd>\n<\/dl>\n
\n
sample<\/dt>\n
a group of individuals or entities on which we collect data.<\/dd>\n<\/dl>\n
\n
representative<\/dt>\n
when the characteristics of a sample tend to match the characteristics of the population.<\/dd>\n<\/dl>\n
\n
generalize<\/dt>\n
when the sample is representative of the population, this transfers our analysis of the sample to the population.<\/dd>\n<\/dl>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"author":23592,"menu_order":3,"template":"","meta":{"_candela_citation":"[]","CANDELA_OUTCOMES_GUID":"","pb_show_title":"on","pb_short_title":"","pb_subtitle":"","pb_authors":[],"pb_section_license":""},"chapter-type":[],"contributor":[],"license":[],"class_list":["post-957","chapter","type-chapter","status-publish","hentry"],"part":704,"_links":{"self":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/957","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters"}],"about":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/types\/chapter"}],"author":[{"embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/users\/23592"}],"version-history":[{"count":7,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/957\/revisions"}],"predecessor-version":[{"id":2801,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/957\/revisions\/2801"}],"part":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/parts\/704"}],"metadata":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/957\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/media?parent=957"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapter-type?post=957"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/contributor?post=957"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/license?post=957"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}