{"id":1555,"date":"2022-01-18T22:21:44","date_gmt":"2022-01-18T22:21:44","guid":{"rendered":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/?post_type=chapter&p=1555"},"modified":"2022-02-08T05:25:46","modified_gmt":"2022-02-08T05:25:46","slug":"8c","status":"publish","type":"chapter","link":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/chapter\/8c\/","title":{"raw":"8C","rendered":"8C"},"content":{"raw":"
\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\r\n\r\n
Experimental Outcome<\/strong><\/td>\r\n, Number of Tails in 3 Flips of a Coin<\/strong><\/td>\r\n<\/tr>\r\n
HHH<\/td>\r\n0<\/td>\r\n<\/tr>\r\n
HHT<\/td>\r\n1<\/td>\r\n<\/tr>\r\n
HTH<\/td>\r\n1<\/td>\r\n<\/tr>\r\n
THH<\/td>\r\n1<\/td>\r\n<\/tr>\r\n
TTH<\/td>\r\n2<\/td>\r\n<\/tr>\r\n
THT<\/td>\r\n2<\/td>\r\n<\/tr>\r\n
HTT<\/td>\r\n2<\/td>\r\n<\/tr>\r\n
TTT<\/td>\r\n3<\/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
Number of Tails, <\/strong><\/td>\r\nWays to Obtain <\/strong>\u00a0Tails<\/strong><\/td>\r\nNumber of Ways to Obtain <\/strong>\u00a0Tails in 3 Flips<\/strong><\/td>\r\n<\/tr>\r\n
0<\/td>\r\nHHH<\/td>\r\n1<\/td>\r\n<\/tr>\r\n
1<\/td>\r\nTHH, HTH, HHT<\/td>\r\n3<\/td>\r\n<\/tr>\r\n
2<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
3<\/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
<\/td>\r\n<\/td>\r\n<\/tr>\r\n
0<\/td>\r\n<\/td>\r\n<\/tr>\r\n
1<\/td>\r\n<\/td>\r\n<\/tr>\r\n
2<\/td>\r\n<\/td>\r\n<\/tr>\r\n
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
Identify whether a chance experiment is a binomial experiment.<\/td>\r\n1<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Determine the probability distribution for binomial experiments where \u00a0is small.<\/td>\r\n2, 3<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Understand the basic principles behind the formula for the binomial probability model.<\/td>\r\n2\u20134<\/td>\r\n<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n<\/div>\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
Country<\/strong><\/td>\r\nCost of Big Mac<\/strong><\/td>\r\n<\/tr>\r\n
Argentina<\/td>\r\n$3.75<\/td>\r\n<\/tr>\r\n
Australia<\/td>\r\n$4.98<\/td>\r\n<\/tr>\r\n
South Korea<\/td>\r\n$4.10<\/td>\r\n<\/tr>\r\n
Egypt<\/td>\r\n$2.72<\/td>\r\n<\/tr>\r\n
Mexico<\/td>\r\n$2.68<\/td>\r\n<\/tr>\r\n
United States<\/td>\r\n$5.66<\/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
Country<\/strong><\/td>\r\nCost of Big Mac<\/strong><\/td>\r\nRight or Left of the Mean<\/strong><\/td>\r\nCost Higher or Lower Than Average<\/strong><\/td>\r\n<\/tr>\r\n
Argentina<\/td>\r\n$3.75<\/td>\r\nright<\/td>\r\nhigher<\/td>\r\n<\/tr>\r\n
Australia<\/td>\r\n$4.98<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
South Korea<\/td>\r\n$4.10<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Egypt<\/td>\r\n$2.72<\/td>\r\n<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Mexico<\/td>\r\n$2.68<\/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
Skill or Concept: I can . . .<\/strong><\/td>\r\nQuestions to check your understanding<\/strong><\/td>\r\nRating\r\nfrom 1 to 5<\/strong><\/td>\r\n<\/tr>\r\n
Understand the properties of continuous distributions.<\/td>\r\n1, 2<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Identify continuous distributions from graphical displays.<\/td>\r\n3<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Identify normal distributions from graphical displays.<\/td>\r\n5<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Create the graph of a normal distribution with a given mean and standard deviation.<\/td>\r\n6, 7, 10<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Identify the mean and standard deviation by looking at a labeled normal curve.<\/td>\r\n4, 8<\/td>\r\n<\/td>\r\n<\/tr>\r\n
Estimate probabilities using a normal distribution.<\/td>\r\n2, 9<\/td>\r\n<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n
Glossary<\/dl>\r\n
\r\n \t
acceptance sampling<\/dt>\r\n \t
sampling where a random sample is drawn from each lot of a product, the items in the sample are tested, and if the number of nonconforming items is above a pre-determined threshold, then the whole lot of the product is rejected.<\/dd>\r\n<\/dl>\r\n
\r\n \t
sensitivity<\/dt>\r\n \t
the probability that a person with the condition is correctly identified as having it.<\/dd>\r\n<\/dl>\r\n
\r\n \t
specificity<\/dt>\r\n \t
the probability that a person without the condition is correctly identified as not having it.<\/dd>\r\n<\/dl>\r\n
\r\n \t
Bernoulli trial<\/dt>\r\n \t
a chance experiment with exactly two possible outcomes, the same probability of success for every trial, and trials that are independent from one another.<\/dd>\r\n<\/dl>\r\n
\r\n \t
binomial experiment<\/dt>\r\n \t
an experiment consisting of a fixed number, \ud835\udc5b, of independent Bernoulli trials that counts the number of successes out of \ud835\udc5b trials.<\/dd>\r\n<\/dl>\r\n<\/div>\r\n<\/div>","rendered":"
\n

\"A\"A<\/p>\n\n\n\n\n\n\n\n\n\n\n\n
Experimental Outcome<\/strong><\/td>\n, Number of Tails in 3 Flips of a Coin<\/strong><\/td>\n<\/tr>\n
HHH<\/td>\n0<\/td>\n<\/tr>\n
HHT<\/td>\n1<\/td>\n<\/tr>\n
HTH<\/td>\n1<\/td>\n<\/tr>\n
THH<\/td>\n1<\/td>\n<\/tr>\n
TTH<\/td>\n2<\/td>\n<\/tr>\n
THT<\/td>\n2<\/td>\n<\/tr>\n
HTT<\/td>\n2<\/td>\n<\/tr>\n
TTT<\/td>\n3<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n\n\n\n\n
Number of Tails, <\/strong><\/td>\nWays to Obtain <\/strong>\u00a0Tails<\/strong><\/td>\nNumber of Ways to Obtain <\/strong>\u00a0Tails in 3 Flips<\/strong><\/td>\n<\/tr>\n
0<\/td>\nHHH<\/td>\n1<\/td>\n<\/tr>\n
1<\/td>\nTHH, HTH, HHT<\/td>\n3<\/td>\n<\/tr>\n
2<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
3<\/td>\n<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n\n\n\n\n
<\/td>\n<\/td>\n<\/tr>\n
0<\/td>\n<\/td>\n<\/tr>\n
1<\/td>\n<\/td>\n<\/tr>\n
2<\/td>\n<\/td>\n<\/tr>\n
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
Identify whether a chance experiment is a binomial experiment.<\/td>\n1<\/td>\n<\/td>\n<\/tr>\n
Determine the probability distribution for binomial experiments where \u00a0is small.<\/td>\n2, 3<\/td>\n<\/td>\n<\/tr>\n
Understand the basic principles behind the formula for the binomial probability model.<\/td>\n2\u20134<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n

 <\/p>\n

 <\/p>\n

 <\/p>\n

\n\n\n\n\n\n\n\n\n\n
Country<\/strong><\/td>\nCost of Big Mac<\/strong><\/td>\n<\/tr>\n
Argentina<\/td>\n$3.75<\/td>\n<\/tr>\n
Australia<\/td>\n$4.98<\/td>\n<\/tr>\n
South Korea<\/td>\n$4.10<\/td>\n<\/tr>\n
Egypt<\/td>\n$2.72<\/td>\n<\/tr>\n
Mexico<\/td>\n$2.68<\/td>\n<\/tr>\n
United States<\/td>\n$5.66<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n\n\n\n\n\n
Country<\/strong><\/td>\nCost of Big Mac<\/strong><\/td>\nRight or Left of the Mean<\/strong><\/td>\nCost Higher or Lower Than Average<\/strong><\/td>\n<\/tr>\n
Argentina<\/td>\n$3.75<\/td>\nright<\/td>\nhigher<\/td>\n<\/tr>\n
Australia<\/td>\n$4.98<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
South Korea<\/td>\n$4.10<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Egypt<\/td>\n$2.72<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Mexico<\/td>\n$2.68<\/td>\n<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\n\n\n\n\n\n\n\n\n\n
Skill or Concept: I can . . .<\/strong><\/td>\nQuestions to check your understanding<\/strong><\/td>\nRating
\nfrom 1 to 5<\/strong><\/td>\n<\/tr>\n
Understand the properties of continuous distributions.<\/td>\n1, 2<\/td>\n<\/td>\n<\/tr>\n
Identify continuous distributions from graphical displays.<\/td>\n3<\/td>\n<\/td>\n<\/tr>\n
Identify normal distributions from graphical displays.<\/td>\n5<\/td>\n<\/td>\n<\/tr>\n
Create the graph of a normal distribution with a given mean and standard deviation.<\/td>\n6, 7, 10<\/td>\n<\/td>\n<\/tr>\n
Identify the mean and standard deviation by looking at a labeled normal curve.<\/td>\n4, 8<\/td>\n<\/td>\n<\/tr>\n
Estimate probabilities using a normal distribution.<\/td>\n2, 9<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
<\/dl>\n
\n
acceptance sampling<\/dt>\n
sampling where a random sample is drawn from each lot of a product, the items in the sample are tested, and if the number of nonconforming items is above a pre-determined threshold, then the whole lot of the product is rejected.<\/dd>\n<\/dl>\n
\n
sensitivity<\/dt>\n
the probability that a person with the condition is correctly identified as having it.<\/dd>\n<\/dl>\n
\n
specificity<\/dt>\n
the probability that a person without the condition is correctly identified as not having it.<\/dd>\n<\/dl>\n
\n
Bernoulli trial<\/dt>\n
a chance experiment with exactly two possible outcomes, the same probability of success for every trial, and trials that are independent from one another.<\/dd>\n<\/dl>\n
\n
binomial experiment<\/dt>\n
an experiment consisting of a fixed number, \ud835\udc5b, of independent Bernoulli trials that counts the number of successes out of \ud835\udc5b trials.<\/dd>\n<\/dl>\n<\/div>\n<\/div>\n","protected":false},"author":23592,"menu_order":30,"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-1555","chapter","type-chapter","status-publish","hentry"],"part":704,"_links":{"self":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/1555","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\/1555\/revisions"}],"predecessor-version":[{"id":2915,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapters\/1555\/revisions\/2915"}],"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\/1555\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/media?parent=1555"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/pressbooks\/v2\/chapter-type?post=1555"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/contributor?post=1555"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/courses.lumenlearning.com\/lumen-danacenter-statsmockup\/wp-json\/wp\/v2\/license?post=1555"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}