{"id":1658,"date":"2022-01-19T02:15:44","date_gmt":"2022-01-19T02:15:44","guid":{"rendered":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/?post_type=chapter&p=1658"},"modified":"2022-01-24T22:55:56","modified_gmt":"2022-01-24T22:55:56","slug":"10c","status":"publish","type":"chapter","link":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/chapter\/10c\/","title":{"raw":"10C\/10D","rendered":"10C\/10D"},"content":{"raw":"
\r\n\r\n\"A\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
Fraction<\/td>\r\nDecimal<\/td>\r\nPercentage<\/td>\r\n<\/tr>\r\n
1\/2<\/td>\r\n0.5<\/td>\r\n50%<\/td>\r\n<\/tr>\r\n
1\/3<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
<\/td>\r\n<\/td>\r\n25%<\/td>\r\n<\/tr>\r\n
<\/td>\r\n0.2<\/td>\r\n<\/td>\r\n<\/tr>\r\n
1\/8<\/td>\r\n<\/td>\r\n12.5%<\/td>\r\n<\/tr>\r\n
<\/td>\r\n0.667<\/td>\r\n<\/td>\r\n<\/tr>\r\n
<\/td>\r\n0.75<\/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\r\n\r\n\r\n
<\/td>\r\n1<\/td>\r\n<\/tr>\r\n
0.1<\/td>\r\n0.9<\/td>\r\n<\/tr>\r\n
0.23<\/td>\r\n<\/td>\r\n<\/tr>\r\n
<\/td>\r\n0.5<\/td>\r\n<\/tr>\r\n
0.78<\/td>\r\n<\/td>\r\n<\/tr>\r\n
0.91<\/td>\r\n<\/td>\r\n<\/tr>\r\n
<\/td>\r\n0.85<\/td>\r\n<\/tr>\r\n
<\/td>\r\n0.48<\/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
Number Surveyed<\/td>\r\nNumber of \u201cYes\u201d Responses<\/td>\r\nFraction<\/td>\r\n<\/td>\r\n<\/tr>\r\n
100<\/td>\r\n20<\/td>\r\n20\/100<\/td>\r\n0.2<\/td>\r\n<\/tr>\r\n
100<\/td>\r\n40<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
100<\/td>\r\n80<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
50<\/td>\r\n20<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
500<\/td>\r\n20<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
1000<\/td>\r\n20<\/td>\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\r\n
<\/td>\r\n<\/td>\r\nAppropriate?\r\n\r\n(Yes or no)<\/td>\r\n<\/tr>\r\n
50<\/td>\r\n0.3<\/td>\r\n<\/td>\r\n<\/tr>\r\n
50<\/td>\r\n0.05<\/td>\r\n<\/td>\r\n<\/tr>\r\n
15<\/td>\r\n0.45<\/td>\r\n<\/td>\r\n<\/tr>\r\n
100<\/td>\r\n0.01<\/td>\r\n<\/td>\r\n<\/tr>\r\n
40<\/td>\r\n0.25<\/td>\r\n<\/td>\r\n<\/tr>\r\n
80<\/td>\r\n0.25<\/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
Sample Size<\/td>\r\nMean<\/td>\r\nMinimum<\/td>\r\nMaximum<\/td>\r\n<\/tr>\r\n
50<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
100<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
500<\/td>\r\n<\/td>\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
Sample Size<\/td>\r\n# of Successes<\/td>\r\nPoint Estimate<\/td>\r\nMargin of Error<\/td>\r\n<\/tr>\r\n
100<\/td>\r\n30<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
1,000<\/td>\r\n300<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
10,000<\/td>\r\n3,000<\/td>\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\r\n\r\n
<\/td>\r\n<\/td>\r\nAppropriate?\r\n\r\n(Yes or no)<\/td>\r\n<\/tr>\r\n
50<\/td>\r\n0.1<\/td>\r\n<\/td>\r\n<\/tr>\r\n
100<\/td>\r\n0.1<\/td>\r\n<\/td>\r\n<\/tr>\r\n
45<\/td>\r\n0.5<\/td>\r\n<\/td>\r\n<\/tr>\r\n
30<\/td>\r\n0.5<\/td>\r\n<\/td>\r\n<\/tr>\r\n
25<\/td>\r\n0.9<\/td>\r\n<\/td>\r\n<\/tr>\r\n
120<\/td>\r\n0.9<\/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
Confidence Level<\/td>\r\nMargin of Error<\/td>\r\nMinimum Sample Size<\/td>\r\n<\/tr>\r\n
95%<\/td>\r\n\u00b12.5%<\/td>\r\n<\/td>\r\n<\/tr>\r\n
95%<\/td>\r\n\u00b14%<\/td>\r\n<\/td>\r\n<\/tr>\r\n
95%<\/td>\r\n\u00b16%<\/td>\r\n<\/td>\r\n<\/tr>\r\n
99%<\/td>\r\n\u00b16%<\/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
Confidence Level<\/td>\r\nMargin of Error<\/td>\r\nPopulation Proportion<\/td>\r\nMinimum Sample Size<\/td>\r\n<\/tr>\r\n
95%<\/td>\r\n\u00b12.5%<\/td>\r\n0.1<\/td>\r\n<\/td>\r\n<\/tr>\r\n
95%<\/td>\r\n\u00b14%<\/td>\r\n0.2<\/td>\r\n<\/td>\r\n<\/tr>\r\n
95%<\/td>\r\n\u00b16%<\/td>\r\n0.3<\/td>\r\n<\/td>\r\n<\/tr>\r\n
99%<\/td>\r\n\u00b16%<\/td>\r\n0.3<\/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
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
Understand how sample size affects margin of error.<\/td>\r\n1\u20134<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Determine the sample size needed to achieve a given margin of error when working with proportions.<\/td>\r\n5\u20137<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Bring the \u201cLooking Ahead\u201d information to class.<\/td>\r\n8, 9<\/td>\r\n<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\"A \"A\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\r\n\r\n\r\n
party_id<\/td>\r\nmajor_party<\/td>\r\nregular_voter<\/td>\r\n<\/tr>\r\n
Democrat<\/td>\r\nYes<\/td>\r\nYes<\/td>\r\n<\/tr>\r\n
Other<\/td>\r\nNo<\/td>\r\nYes<\/td>\r\n<\/tr>\r\n
Democrat<\/td>\r\nYes<\/td>\r\nNo<\/td>\r\n<\/tr>\r\n
Democrat<\/td>\r\nYes<\/td>\r\nNo<\/td>\r\n<\/tr>\r\n
Republican<\/td>\r\nYes<\/td>\r\nYes<\/td>\r\n<\/tr>\r\n
Other<\/td>\r\nNo<\/td>\r\nNo<\/td>\r\n<\/tr>\r\n
Republican<\/td>\r\nYes<\/td>\r\nYes<\/td>\r\n<\/tr>\r\n
Democrat<\/td>\r\nYes<\/td>\r\nYes<\/td>\r\n<\/tr>\r\n
Republican<\/td>\r\nYes<\/td>\r\nYes<\/td>\r\n<\/tr>\r\n
Other<\/td>\r\nNo<\/td>\r\nYes<\/td>\r\n<\/tr>\r\n
Republican<\/td>\r\nYes<\/td>\r\nNo<\/td>\r\n<\/tr>\r\n
Democrat<\/td>\r\nYes<\/td>\r\nNo<\/td>\r\n<\/tr>\r\n
Republican<\/td>\r\nYes<\/td>\r\nNo<\/td>\r\n<\/tr>\r\n
Other<\/td>\r\nNo<\/td>\r\nNo<\/td>\r\n<\/tr>\r\n
Republican<\/td>\r\nYes<\/td>\r\nYes<\/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\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
instagram<\/td>\r\nis_liberal<\/td>\r\n<\/tr>\r\n
No<\/td>\r\nYes<\/td>\r\n<\/tr>\r\n
No<\/td>\r\nNo<\/td>\r\n<\/tr>\r\n
No<\/td>\r\nNo<\/td>\r\n<\/tr>\r\n
No<\/td>\r\nNo<\/td>\r\n<\/tr>\r\n
No<\/td>\r\nYes<\/td>\r\n<\/tr>\r\n
No<\/td>\r\nYes<\/td>\r\n<\/tr>\r\n
No<\/td>\r\nNo<\/td>\r\n<\/tr>\r\n
No<\/td>\r\nYes<\/td>\r\n<\/tr>\r\n
No<\/td>\r\nYes<\/td>\r\n<\/tr>\r\n
No<\/td>\r\nNo<\/td>\r\n<\/tr>\r\n
No<\/td>\r\nNo<\/td>\r\n<\/tr>\r\n
No<\/td>\r\nYes<\/td>\r\n<\/tr>\r\n
No<\/td>\r\nNo<\/td>\r\n<\/tr>\r\n
No<\/td>\r\nNo<\/td>\r\n<\/tr>\r\n
No<\/td>\r\nNo<\/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
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 the sample and population.<\/td>\r\n1, Parts A and B<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Calculate sample proportions and their differences.<\/td>\r\n1, Parts C and D\r\n\r\n3<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Identify independent vs. dependent samples.<\/td>\r\n3, 4<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Use technology to calculate the confidence interval for the difference in two proportions from independent samples.<\/td>\r\n5<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Interpret the confidence interval in the context of the data.<\/td>\r\n6<\/td>\r\n<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>\r\n<\/div>","rendered":"
\n

\"A<\/p>\n\n\n\n\n\n\n\n\n\n\n
Fraction<\/td>\nDecimal<\/td>\nPercentage<\/td>\n<\/tr>\n
1\/2<\/td>\n0.5<\/td>\n50%<\/td>\n<\/tr>\n
1\/3<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
<\/td>\n<\/td>\n25%<\/td>\n<\/tr>\n
<\/td>\n0.2<\/td>\n<\/td>\n<\/tr>\n
1\/8<\/td>\n<\/td>\n12.5%<\/td>\n<\/tr>\n
<\/td>\n0.667<\/td>\n<\/td>\n<\/tr>\n
<\/td>\n0.75<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n\n\n\n\n\n\n\n\n\n\n
<\/td>\n1<\/td>\n<\/tr>\n
0.1<\/td>\n0.9<\/td>\n<\/tr>\n
0.23<\/td>\n<\/td>\n<\/tr>\n
<\/td>\n0.5<\/td>\n<\/tr>\n
0.78<\/td>\n<\/td>\n<\/tr>\n
0.91<\/td>\n<\/td>\n<\/tr>\n
<\/td>\n0.85<\/td>\n<\/tr>\n
<\/td>\n0.48<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n\n\n\n\n\n\n\n\n\n
Number Surveyed<\/td>\nNumber of \u201cYes\u201d Responses<\/td>\nFraction<\/td>\n<\/td>\n<\/tr>\n
100<\/td>\n20<\/td>\n20\/100<\/td>\n0.2<\/td>\n<\/tr>\n
100<\/td>\n40<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
100<\/td>\n80<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
50<\/td>\n20<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
500<\/td>\n20<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
1000<\/td>\n20<\/td>\n<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n\n\n\n\n\n\n
<\/td>\n<\/td>\nAppropriate?<\/p>\n

(Yes or no)<\/td>\n<\/tr>\n

50<\/td>\n0.3<\/td>\n<\/td>\n<\/tr>\n
50<\/td>\n0.05<\/td>\n<\/td>\n<\/tr>\n
15<\/td>\n0.45<\/td>\n<\/td>\n<\/tr>\n
100<\/td>\n0.01<\/td>\n<\/td>\n<\/tr>\n
40<\/td>\n0.25<\/td>\n<\/td>\n<\/tr>\n
80<\/td>\n0.25<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n\n\n\n\n\n\n
Sample Size<\/td>\nMean<\/td>\nMinimum<\/td>\nMaximum<\/td>\n<\/tr>\n
50<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
100<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
500<\/td>\n<\/td>\n<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n\n\n\n\n\n\n
Sample Size<\/td>\n# of Successes<\/td>\nPoint Estimate<\/td>\nMargin of Error<\/td>\n<\/tr>\n
100<\/td>\n30<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
1,000<\/td>\n300<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
10,000<\/td>\n3,000<\/td>\n<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n\n\n\n\n\n\n\n\n\n
<\/td>\n<\/td>\nAppropriate?<\/p>\n

(Yes or no)<\/td>\n<\/tr>\n

50<\/td>\n0.1<\/td>\n<\/td>\n<\/tr>\n
100<\/td>\n0.1<\/td>\n<\/td>\n<\/tr>\n
45<\/td>\n0.5<\/td>\n<\/td>\n<\/tr>\n
30<\/td>\n0.5<\/td>\n<\/td>\n<\/tr>\n
25<\/td>\n0.9<\/td>\n<\/td>\n<\/tr>\n
120<\/td>\n0.9<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n\n\n\n\n\n\n\n
Confidence Level<\/td>\nMargin of Error<\/td>\nMinimum Sample Size<\/td>\n<\/tr>\n
95%<\/td>\n\u00b12.5%<\/td>\n<\/td>\n<\/tr>\n
95%<\/td>\n\u00b14%<\/td>\n<\/td>\n<\/tr>\n
95%<\/td>\n\u00b16%<\/td>\n<\/td>\n<\/tr>\n
99%<\/td>\n\u00b16%<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n\n\n\n\n\n\n\n
Confidence Level<\/td>\nMargin of Error<\/td>\nPopulation Proportion<\/td>\nMinimum Sample Size<\/td>\n<\/tr>\n
95%<\/td>\n\u00b12.5%<\/td>\n0.1<\/td>\n<\/td>\n<\/tr>\n
95%<\/td>\n\u00b14%<\/td>\n0.2<\/td>\n<\/td>\n<\/tr>\n
95%<\/td>\n\u00b16%<\/td>\n0.3<\/td>\n<\/td>\n<\/tr>\n
99%<\/td>\n\u00b16%<\/td>\n0.3<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\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
Understand how sample size affects margin of error.<\/td>\n1\u20134<\/td>\n<\/td>\n<\/tr>\n
Determine the sample size needed to achieve a given margin of error when working with proportions.<\/td>\n5\u20137<\/td>\n<\/td>\n<\/tr>\n
Bring the \u201cLooking Ahead\u201d information to class.<\/td>\n8, 9<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\"A \"A<\/p>\n

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
party_id<\/td>\nmajor_party<\/td>\nregular_voter<\/td>\n<\/tr>\n
Democrat<\/td>\nYes<\/td>\nYes<\/td>\n<\/tr>\n
Other<\/td>\nNo<\/td>\nYes<\/td>\n<\/tr>\n
Democrat<\/td>\nYes<\/td>\nNo<\/td>\n<\/tr>\n
Democrat<\/td>\nYes<\/td>\nNo<\/td>\n<\/tr>\n
Republican<\/td>\nYes<\/td>\nYes<\/td>\n<\/tr>\n
Other<\/td>\nNo<\/td>\nNo<\/td>\n<\/tr>\n
Republican<\/td>\nYes<\/td>\nYes<\/td>\n<\/tr>\n
Democrat<\/td>\nYes<\/td>\nYes<\/td>\n<\/tr>\n
Republican<\/td>\nYes<\/td>\nYes<\/td>\n<\/tr>\n
Other<\/td>\nNo<\/td>\nYes<\/td>\n<\/tr>\n
Republican<\/td>\nYes<\/td>\nNo<\/td>\n<\/tr>\n
Democrat<\/td>\nYes<\/td>\nNo<\/td>\n<\/tr>\n
Republican<\/td>\nYes<\/td>\nNo<\/td>\n<\/tr>\n
Other<\/td>\nNo<\/td>\nNo<\/td>\n<\/tr>\n
Republican<\/td>\nYes<\/td>\nYes<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
instagram<\/td>\nis_liberal<\/td>\n<\/tr>\n
No<\/td>\nYes<\/td>\n<\/tr>\n
No<\/td>\nNo<\/td>\n<\/tr>\n
No<\/td>\nNo<\/td>\n<\/tr>\n
No<\/td>\nNo<\/td>\n<\/tr>\n
No<\/td>\nYes<\/td>\n<\/tr>\n
No<\/td>\nYes<\/td>\n<\/tr>\n
No<\/td>\nNo<\/td>\n<\/tr>\n
No<\/td>\nYes<\/td>\n<\/tr>\n
No<\/td>\nYes<\/td>\n<\/tr>\n
No<\/td>\nNo<\/td>\n<\/tr>\n
No<\/td>\nNo<\/td>\n<\/tr>\n
No<\/td>\nYes<\/td>\n<\/tr>\n
No<\/td>\nNo<\/td>\n<\/tr>\n
No<\/td>\nNo<\/td>\n<\/tr>\n
No<\/td>\nNo<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\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 the sample and population.<\/td>\n1, Parts A and B<\/td>\n<\/td>\n<\/tr>\n
Calculate sample proportions and their differences.<\/td>\n1, Parts C and D<\/p>\n

3<\/td>\n

<\/td>\n<\/tr>\n
Identify independent vs. dependent samples.<\/td>\n3, 4<\/td>\n<\/td>\n<\/tr>\n
Use technology to calculate the confidence interval for the difference in two proportions from independent samples.<\/td>\n5<\/td>\n<\/td>\n<\/tr>\n
Interpret the confidence interval in the context of the data.<\/td>\n6<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"author":23592,"menu_order":37,"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-1658","chapter","type-chapter","status-publish","hentry"],"part":704,"_links":{"self":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/1658","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":6,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/1658\/revisions"}],"predecessor-version":[{"id":1808,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/1658\/revisions\/1808"}],"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\/1658\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/media?parent=1658"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapter-type?post=1658"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/contributor?post=1658"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/license?post=1658"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}