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Whereas, two events are dependent when the occurrence and outcome of one event affects the probability of another event that is occurring after it.\u003C\/div\u003E \r\n\u003Cdiv\u003E \r\n \u003Cbr\u003E \r\n\u003C\/div\u003E \r\n\u003Ch3\u003ELearning Objectives:\u003C\/h3\u003E \r\n\u003Cdiv\u003E \r\n \u003Cbr\u003E \r\n\u003C\/div\u003E \r\n\u003Cdiv\u003EAfter completing this module, you will be able to:\u003C\/div\u003E \r\n\u003Cdiv\u003E- Differentiate between independent and dependent events.\u003C\/div\u003E \r\n\u003Cdiv\u003E- Apply the formulas for finding the probability of independent and dependent events.\u003C\/div\u003E","CONT_DESC_AR":"","BACKING_FILE":"ms300137.apk","FILE_UID":null,"SCORM_COURSE_ID":null,"CONT_SRC":null,"MOD_FILES":null,"FOLDER_NAME":null,"CONTTYPE_ID":"9","ANDROID_PKG":"com.umety.vr.ms300137","TOPIC_ID":"ms300137","IS_PUBLISH":"Y","IS_PUBLIC":"Y","CONT_PRICE":null,"PUBLIC_IMG":"thumb_MS300137.jpg","PUBLIC_BANNER_IMG":"MS300137.jpg","PUBLIC_VIDEO":"pvideo_ms300137.mp4","PUBLIC_VIDEO_URL":"https:\/\/youtu.be\/sAglw-Q8oLo","DIST":null,"SHOW_ON_HOME":"N","CONTROLLER_REQUIRED":"Y","DOMAIN":"6","CONCEPT":"0","STATUS":"A","EXPIRY_DAYS":null,"CREATED_ON":"2018-12-03 09:10:03","CREATED_BY":"0","UPDATED_ON":"0000-00-00 00:00:00","UPDATED_BY":"2","CONT_ORDER":"0","X_ROTATION":null,"Y_ROTATION":null,"Z_ROTATION":null,"BG_COLOR":"0x000000","X_POSITION":null,"Y_POSITION":null,"Z_POSITION":null,"TEMP_DESC":"Overview:\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;Two events are independent when one event does not affect the probability of another event occurring after it. Whereas, two events are dependent when the occurrence and outcome of one event affects the probability of another event that is occurring after it.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;Learning objectives\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;div\u0026gt;After completing this module, you will be able to:\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;- Differentiate between independent and dependent events.\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;- Apply the formulas for finding the probability of independent and dependent events.\u0026lt;\/div\u0026gt;","IS_ANALYTICS":"Y","VR_ENABLE":"Y","VR_SESSION_ENABLE":"Y","YOUTUBE_URL":null,"CONT_TYPE":"VR Module","CAT_NAME":"Probability of Dependent and Independent Events","ADMSUBJECT_ID":"1021","ADMCOURSE_ID":"291","DISPLAY_NAME":"Egypt (Updated) - Grade 12 - Math","DISPLAY_NAME_AR":"","SUBJECT_NAME":"Math","SUBJECT_NAME_AR":"","SUBJECT_DESC":"Description","SUBJECT_DESC_AR":"","SUBJECT_IMG":"","SUBJECT_BANNER_IMG":null,"SUBJECT_PRICE":null,"IS_FEATURED":"N","COURSE_NAME":"Grade 12","COUNTRY_ID":"320","SHORT_NAME":"Egypt (Updated)","DOMAIN_NAME":"Higher Education"},{"CONT_ID":"379","CATEGORY_ID":"1","CONT_TITLE":"Introduction to the Integral","CONT_SLUG":"introduction-to-the-integral","CONT_TITLE_AR":"Introduction to the Integral","CONT_DESC":"\u003Ch3\u003EOverview:\u003C\/h3\u003E \r\n\u003Cdiv\u003E \r\n \u003Cbr\u003E \r\n\u003C\/div\u003E \r\n\u003Cdiv\u003EAdding slices of infinitely small width leads us to find the whole. This method is called the limit of sum, which is the basic principle behind integration. Integration can be used to find areas, volumes, central points and many useful things. This module will describe the method of finding the area under a curve, using integration.\u003C\/div\u003E \r\n\u003Cdiv\u003E \r\n \u003Cbr\u003E \r\n\u003C\/div\u003E \r\n\u003Ch3\u003ELearning Objectives:\u003C\/h3\u003E \r\n\u003Cdiv\u003E \r\n \u003Cbr\u003E \r\n\u003C\/div\u003E \r\n\u003Cdiv\u003EAfter completing this module, you will be able to:\u003C\/div\u003E \r\n\u003Cdiv\u003E- Define the definite integral as the limit of a sum.\u003C\/div\u003E \r\n\u003Cdiv\u003E- Use definite integrals to find the area between a curve and the x-axis.\u003C\/div\u003E","CONT_DESC_AR":"Integration can be used to find areas, volumes, central points and many useful things.But it is easiest to start with finding the area under the curve of a function.\u003C\/br\u003E\u003C\/br\u003E\r\n\u003Cstrong\u003ELearning Objectives\u003C\/strong\u003E\u003C\/br\u003E\u003C\/br\u003E\r\nIn this topic, you will be able to:\u003C\/br\u003E\r\n\u2022 define the definite integral as the limit of a sum\u003C\/br\u003E\r\n\u2022 use definite integrals to find the area between a curve and the x-axis","BACKING_FILE":"ss300015.apk","FILE_UID":null,"SCORM_COURSE_ID":null,"CONT_SRC":"","MOD_FILES":null,"FOLDER_NAME":null,"CONTTYPE_ID":"9","ANDROID_PKG":"com.umety.vr.ss300015","TOPIC_ID":"ss300015","IS_PUBLISH":"Y","IS_PUBLIC":"Y","CONT_PRICE":null,"PUBLIC_IMG":"thumb_SS300015.jpg","PUBLIC_BANNER_IMG":"SS300015.jpg","PUBLIC_VIDEO":"pvideo_ss300015.mp4","PUBLIC_VIDEO_URL":"https:\/\/youtu.be\/kojlvAWPJTk","DIST":null,"SHOW_ON_HOME":"N","CONTROLLER_REQUIRED":"Y","DOMAIN":"3","CONCEPT":"0","STATUS":"A","EXPIRY_DAYS":null,"CREATED_ON":"2018-12-03 09:10:03","CREATED_BY":"1","UPDATED_ON":"0000-00-00 00:00:00","UPDATED_BY":"2","CONT_ORDER":"0","X_ROTATION":null,"Y_ROTATION":null,"Z_ROTATION":null,"BG_COLOR":"0x000000","X_POSITION":null,"Y_POSITION":null,"Z_POSITION":null,"TEMP_DESC":"\u0026lt;div\u0026gt;Overview:\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;\u0026lt;br\u0026gt;\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;Adding slices of infinitely small width leads us to find the whole. This method is called the limit of sum, which is the basic principle behind integration. Integration can be used to find areas, volumes, central points and many useful things. This module will describe the method of finding the area under a curve, using integration.\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;\u0026lt;br\u0026gt;\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;Learning Objectives:\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;\u0026lt;br\u0026gt;\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;\u0026lt;div\u0026gt;After completing this module, you will be able to:\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;- Define the definite integral as the limit of a sum.\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;- Use definite integrals to find the area between a curve and the x-axis.\u0026lt;\/div\u0026gt;\u0026lt;\/div\u0026gt;","IS_ANALYTICS":"Y","VR_ENABLE":"Y","VR_SESSION_ENABLE":"Y","YOUTUBE_URL":null,"CONT_TYPE":"VR Module","CAT_NAME":"Introduction to the Integral","ADMSUBJECT_ID":"1021","ADMCOURSE_ID":"291","DISPLAY_NAME":"Egypt (Updated) - Grade 12 - Math","DISPLAY_NAME_AR":"","SUBJECT_NAME":"Math","SUBJECT_NAME_AR":"","SUBJECT_DESC":"Description","SUBJECT_DESC_AR":"","SUBJECT_IMG":"","SUBJECT_BANNER_IMG":null,"SUBJECT_PRICE":null,"IS_FEATURED":"N","COURSE_NAME":"Grade 12","COUNTRY_ID":"320","SHORT_NAME":"Egypt (Updated)","DOMAIN_NAME":"STEM"},{"CONT_ID":"269","CATEGORY_ID":"1","CONT_TITLE":"Normal Distribution","CONT_SLUG":"normal-distribution","CONT_TITLE_AR":"Normal Distribution","CONT_DESC":"\u003Ch3\u003EOverview:\u003C\/h3\u003E \r\n\u003Cdiv\u003E \r\n \u003Cbr\u003E \r\n\u003C\/div\u003E \r\n\u003Cdiv\u003ENormal (or Gaussian) distribution is a very common continuous probability distribution. Normal distributions are important in statistics and are often used in the natural and social sciences to represent real-valued random variables whose distributions are not known.\u003C\/div\u003E \r\n\u003Cdiv\u003E \r\n \u003Cbr\u003E \r\n\u003C\/div\u003E \r\n\u003Ch3\u003ELearning Objectives:\u003C\/h3\u003E \r\n\u003Cdiv\u003E \r\n \u003Cbr\u003E \r\n\u003C\/div\u003E \r\n\u003Cdiv\u003EAfter completing this module, you will be able to:\u003C\/div\u003E \r\n\u003Cdiv\u003E- Identify a normal distribution.\u003C\/div\u003E \r\n\u003Cdiv\u003E- Calculate the z-score (z).\u003C\/div\u003E","CONT_DESC_AR":"Normal (or Gaussian) distribution is a very common continuous probability distribution.\u0026lt;br \/\u0026gt;\nNormal distributions are important in statistics and are often used in the natural and social sciences to represent real-valued random variables whose distributions are not known.\u0026lt;br \/\u0026gt;\n\u0026amp;nbsp;\u0026lt;br \/\u0026gt;\n\u0026lt;strong\u0026gt;Learning Objective\u0026lt;\/strong\u0026gt;\u0026lt;br \/\u0026gt;\n\u0026lt;br \/\u0026gt;\nAt the end of this simulation, you will be able to identify a normal distribution.","BACKING_FILE":"ss300056.apk","FILE_UID":null,"SCORM_COURSE_ID":null,"CONT_SRC":"","MOD_FILES":null,"FOLDER_NAME":null,"CONTTYPE_ID":"9","ANDROID_PKG":"com.umety.vr.ss300056","TOPIC_ID":"ss300056","IS_PUBLISH":"Y","IS_PUBLIC":"Y","CONT_PRICE":null,"PUBLIC_IMG":"thumb_SS300056.jpg","PUBLIC_BANNER_IMG":"SS300056.jpg","PUBLIC_VIDEO":"pvideo_ss300056.mp4","PUBLIC_VIDEO_URL":"https:\/\/youtu.be\/WBxUGkOgTS4","DIST":null,"SHOW_ON_HOME":"N","CONTROLLER_REQUIRED":"Y","DOMAIN":"6","CONCEPT":"0","STATUS":"A","EXPIRY_DAYS":null,"CREATED_ON":"2018-12-03 09:10:03","CREATED_BY":"1","UPDATED_ON":"0000-00-00 00:00:00","UPDATED_BY":"2","CONT_ORDER":"0","X_ROTATION":null,"Y_ROTATION":null,"Z_ROTATION":null,"BG_COLOR":"0x000000","X_POSITION":null,"Y_POSITION":null,"Z_POSITION":null,"TEMP_DESC":"\u0026lt;div\u0026gt;Overview:\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;\u0026lt;br\u0026gt;\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;Normal (or Gaussian) distribution is a very common continuous probability distribution. Normal distributions are important in statistics and are often used in the natural and social sciences to represent real-valued random variables whose distributions are not known.\u0026lt;br\u0026gt;\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;\u0026lt;br\u0026gt;\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;Learning Objectives:\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;\u0026lt;br\u0026gt;\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;\u0026lt;div\u0026gt;After completing this module, you will be able to:\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;- Identify a normal distribution.\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;- Calculate the z-score (z).\u0026lt;\/div\u0026gt;\u0026lt;\/div\u0026gt;","IS_ANALYTICS":"Y","VR_ENABLE":"Y","VR_SESSION_ENABLE":"Y","YOUTUBE_URL":null,"CONT_TYPE":"VR Module","CAT_NAME":"Normal Distribution","ADMSUBJECT_ID":"1021","ADMCOURSE_ID":"291","DISPLAY_NAME":"Egypt (Updated) - Grade 12 - Math","DISPLAY_NAME_AR":"","SUBJECT_NAME":"Math","SUBJECT_NAME_AR":"","SUBJECT_DESC":"Description","SUBJECT_DESC_AR":"","SUBJECT_IMG":"","SUBJECT_BANNER_IMG":null,"SUBJECT_PRICE":null,"IS_FEATURED":"N","COURSE_NAME":"Grade 12","COUNTRY_ID":"320","SHORT_NAME":"Egypt (Updated)","DOMAIN_NAME":"Higher Education"},{"CONT_ID":"258","CATEGORY_ID":"1","CONT_TITLE":"Waiting Time Distribution","CONT_SLUG":"waiting-time-distribution","CONT_TITLE_AR":"Waiting Time Distribution","CONT_DESC":"\u003Ch3\u003EOverview:\u003C\/h3\u003E \r\n\u003Cdiv\u003E \r\n \u003Cbr\u003E \r\n\u003C\/div\u003E \r\n\u003Cdiv\u003ETo explain the concept of waiting time distribution, we use lambda where Lambda is the number of events per unit time. A graph of exponential distribution, called the probability density function (PDF), shows the distribution of time (or distance) between events. The PDF is specified in terms of lambda (events per unit time) and x (time).\u003C\/div\u003E \r\n\u003Cdiv\u003E \r\n \u003Cbr\u003E \r\n\u003C\/div\u003E \r\n\u003Ch3\u003ELearning Objectives:\u003C\/h3\u003E \r\n\u003Cdiv\u003E \r\n \u003Cbr\u003E \r\n\u003C\/div\u003E \r\n\u003Cdiv\u003EAfter completing this module, you will be able to:\u003C\/div\u003E \r\n\u003Cdiv\u003E- Identify the concept of waiting time distribution.\u003C\/div\u003E \r\n\u003Cdiv\u003E- Find the expected value for the game of chance.\u003C\/div\u003E \r\n\u003Cdiv\u003E- Find the expected mean for the game of chance.\u003C\/div\u003E","CONT_DESC_AR":"To explain the Concept of waiting time distribution, we use lambda where Lambda is the number of events per unit time.\u0026lt;br \/\u0026gt;\nA graph of exponential distribution, called the probability density function (PDF), shows the distribution of time (or distance) between events.\u0026lt;br \/\u0026gt;\nThe PDF is specified in terms of lambda (events per unit time) and x (time).\u0026lt;br \/\u0026gt;\n\u0026amp;nbsp;\u0026lt;br \/\u0026gt;\n\u0026lt;strong\u0026gt;Learning Objectives\u0026lt;\/strong\u0026gt;\u0026lt;br \/\u0026gt;\n\u0026lt;br \/\u0026gt;\nIn this simulation, you will be able to:\u0026lt;br \/\u0026gt;\n\u0026amp;bull; identify the concept of waiting time distribution\u0026lt;br \/\u0026gt;\n\u0026amp;bull; find the expected value for games of chance\u0026lt;br \/\u0026gt;\n\u0026amp;bull; find the expected mean for games of chance","BACKING_FILE":"ss300079.apk","FILE_UID":null,"SCORM_COURSE_ID":null,"CONT_SRC":"","MOD_FILES":null,"FOLDER_NAME":null,"CONTTYPE_ID":"9","ANDROID_PKG":"com.umety.vr.ss300079","TOPIC_ID":"ss300079","IS_PUBLISH":"Y","IS_PUBLIC":"Y","CONT_PRICE":null,"PUBLIC_IMG":"thumb_SS300079.jpg","PUBLIC_BANNER_IMG":"SS300079.jpg","PUBLIC_VIDEO":"pvideo_ss300079.mp4","PUBLIC_VIDEO_URL":"https:\/\/youtu.be\/cNBFkGe5qeY","DIST":null,"SHOW_ON_HOME":"N","CONTROLLER_REQUIRED":"Y","DOMAIN":"6","CONCEPT":"0","STATUS":"A","EXPIRY_DAYS":null,"CREATED_ON":"2018-12-03 09:10:03","CREATED_BY":"1","UPDATED_ON":"0000-00-00 00:00:00","UPDATED_BY":"2","CONT_ORDER":"0","X_ROTATION":null,"Y_ROTATION":null,"Z_ROTATION":null,"BG_COLOR":"0x000000","X_POSITION":null,"Y_POSITION":null,"Z_POSITION":null,"TEMP_DESC":"\u0026lt;div\u0026gt;Overview:\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;\u0026lt;br\u0026gt;\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;To explain the concept of waiting time distribution, we use lambda where Lambda is the number of events per unit time. A graph of exponential distribution, called the probability density function (PDF), shows the distribution of time (or distance) between events. The PDF is specified in terms of lambda (events per unit time) and x (time).\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;\u0026lt;br\u0026gt;\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;Learning Objectives:\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;\u0026lt;br\u0026gt;\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;\u0026lt;div\u0026gt;After completing this module, you will be able to:\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;- Identify the concept of waiting time distribution.\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;- Find the expected value for the game of chance.\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;- Find the expected mean for the game of chance.\u0026lt;\/div\u0026gt;\u0026lt;\/div\u0026gt;","IS_ANALYTICS":"Y","VR_ENABLE":"Y","VR_SESSION_ENABLE":"Y","YOUTUBE_URL":null,"CONT_TYPE":"VR Module","CAT_NAME":"Waiting Time Distribution","ADMSUBJECT_ID":"1021","ADMCOURSE_ID":"291","DISPLAY_NAME":"Egypt (Updated) - Grade 12 - Math","DISPLAY_NAME_AR":"","SUBJECT_NAME":"Math","SUBJECT_NAME_AR":"","SUBJECT_DESC":"Description","SUBJECT_DESC_AR":"","SUBJECT_IMG":"","SUBJECT_BANNER_IMG":null,"SUBJECT_PRICE":null,"IS_FEATURED":"N","COURSE_NAME":"Grade 12","COUNTRY_ID":"320","SHORT_NAME":"Egypt (Updated)","DOMAIN_NAME":"Higher Education"},{"CONT_ID":"256","CATEGORY_ID":"1","CONT_TITLE":"Solving a System of Equations Using the Matrix Method","CONT_SLUG":"solving-system-of-equations-by-matrix-method","CONT_TITLE_AR":"Solving System of Equations by Matrix Method","CONT_DESC":"\u003Ch3\u003EOverview:\u003C\/h3\u003E \r\n\u003Cdiv\u003E \r\n \u003Cbr\u003E \r\n\u003C\/div\u003E \r\n\u003Cdiv\u003EWe are already familiar with the method of solving system of equations in two variables. But what if we have system of equations with three variables. In such situations, matrix method is the easiest method to get the value of variables. In this method, we have a variable matrix (X), a coefficient matrix (A) and a constant matrix (B). The matrix equation used to get the value of variable is X=A-1B.\u003C\/div\u003E \r\n\u003Cdiv\u003E \r\n \u003Cbr\u003E \r\n\u003C\/div\u003E \r\n\u003Ch3\u003ELearning Objectives:\u003C\/h3\u003E \r\n\u003Cdiv\u003E \r\n \u003Cbr\u003E \r\n\u003C\/div\u003E \r\n\u003Cdiv\u003EAfter completing this module, you will be able to:\u003C\/div\u003E \r\n\u003Cdiv\u003E- Explain the concept of solving a system of equations by the matrix method.\u003C\/div\u003E \r\n\u003Cdiv\u003E- Explain this method in relatable terms.\u003C\/div\u003E","CONT_DESC_AR":"The Matrix Solution.\u003C\/br\u003E\r\nThis states that we can find the values of x, y and z (the X matrix) by multiplying the inverse of the A matrix by the B matrix. First, we need to find the inverse of the A matrix.\u003C\/br\u003E\u003C\/br\u003E\r\n\u003Cstrong\u003ELearning Objectives\u003C\/strong\u003E\u003C\/br\u003E\u003C\/br\u003E\r\nIn this simulation, you will be able to:\u003C\/br\u003E\r\n\u2022 know the concept of solving system of equations by matrix method\u003C\/br\u003E\r\n\u2022 explain it in real life terms","BACKING_FILE":"ss300078.apk","FILE_UID":null,"SCORM_COURSE_ID":null,"CONT_SRC":"","MOD_FILES":null,"FOLDER_NAME":null,"CONTTYPE_ID":"9","ANDROID_PKG":"com.umety.vr.ss300078","TOPIC_ID":"ss300078","IS_PUBLISH":"Y","IS_PUBLIC":"Y","CONT_PRICE":null,"PUBLIC_IMG":"thumb_SS300078.jpg","PUBLIC_BANNER_IMG":"SS300078.jpg","PUBLIC_VIDEO":"pvideo_ss300078.mp4","PUBLIC_VIDEO_URL":"https:\/\/youtu.be\/uLyaKm4YSIQ","DIST":null,"SHOW_ON_HOME":"N","CONTROLLER_REQUIRED":"Y","DOMAIN":"6","CONCEPT":"0","STATUS":"A","EXPIRY_DAYS":null,"CREATED_ON":"2018-12-03 09:10:03","CREATED_BY":"1","UPDATED_ON":"0000-00-00 00:00:00","UPDATED_BY":"2","CONT_ORDER":"0","X_ROTATION":null,"Y_ROTATION":null,"Z_ROTATION":null,"BG_COLOR":"0x000000","X_POSITION":null,"Y_POSITION":null,"Z_POSITION":null,"TEMP_DESC":"\u0026lt;p\u0026gt;Overview:\u0026lt;\/p\u0026gt;\u0026lt;p\u0026gt;We are already familiar with the method of solving system of equations in two variables. But what if we have system of equations with three variables. In such situations, matrix method is the easiest method to get the value of variables. In this method, we have a variable matrix (X), a coefficient matrix (A) and a constant matrix (B). The matrix equation used to get the value of variable is X=A-1B.\u0026lt;\/p\u0026gt;\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;\u0026lt;\/p\u0026gt;\u0026lt;p\u0026gt;Learning Objectives:\u0026lt;\/p\u0026gt;\u0026lt;div\u0026gt;\u0026lt;div\u0026gt;After completing this module, you will be able to:\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;- Explain the concept of solving a system of equations by the matrix method.\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;- Explain this method in relatable terms.\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;\u0026lt;div\u0026gt;\u0026lt;div\u0026gt;\u0026lt;div\u0026gt;\u0026lt;div\u0026gt;\u0026lt;\/div\u0026gt;\u0026lt;\/div\u0026gt;\u0026lt;\/div\u0026gt;\u0026lt;\/div\u0026gt;\u0026lt;\/div\u0026gt;\u0026lt;\/div\u0026gt;","IS_ANALYTICS":"Y","VR_ENABLE":"Y","VR_SESSION_ENABLE":"Y","YOUTUBE_URL":null,"CONT_TYPE":"VR Module","CAT_NAME":"Solving System of Rquations by Matrix Method","ADMSUBJECT_ID":"1021","ADMCOURSE_ID":"291","DISPLAY_NAME":"Egypt (Updated) - Grade 12 - Math","DISPLAY_NAME_AR":"","SUBJECT_NAME":"Math","SUBJECT_NAME_AR":"","SUBJECT_DESC":"Description","SUBJECT_DESC_AR":"","SUBJECT_IMG":"","SUBJECT_BANNER_IMG":null,"SUBJECT_PRICE":null,"IS_FEATURED":"N","COURSE_NAME":"Grade 12","COUNTRY_ID":"320","SHORT_NAME":"Egypt (Updated)","DOMAIN_NAME":"Higher Education"},{"CONT_ID":"251","CATEGORY_ID":"1","CONT_TITLE":"Binomial Theorem","CONT_SLUG":"binomial-theorem","CONT_TITLE_AR":"Binomial Theorem","CONT_DESC":"\u003Ch3\u003EOverview:\u003C\/h3\u003E \r\n\u003Cdiv\u003E \r\n \u003Cbr\u003E \r\n\u003C\/div\u003E \r\n\u003Cdiv\u003EBinomial coefficients appear as the entries of Pascal\u0026#039;s triangle where each entry is the sum of the two above it. In elementary algebra, the binomial theorem (or binomial expansion) describes the algebraic expansion of powers of a binomial.\u003C\/div\u003E \r\n\u003Cdiv\u003E \r\n \u003Cbr\u003E \r\n\u003C\/div\u003E \r\n\u003Ch3\u003ELearning Objectives:\u003C\/h3\u003E \r\n\u003Cdiv\u003E \r\n \u003Cbr\u003E \r\n\u003C\/div\u003E \r\n\u003Cdiv\u003EAfter completing this module, you will be able to:\u003C\/div\u003E \r\n\u003Cdiv\u003E- State and prove the binomial theorem for positive integral values.\u003C\/div\u003E \r\n\u003Cdiv\u003E- Explain Pascal\u0026#039;s triangle.\u003C\/div\u003E \r\n\u003Cdiv\u003E- Compute the value of a given number using the binomial theorem.\u003C\/div\u003E","CONT_DESC_AR":"Binomial coefficients appear as the entries of Pascals triangle where each entry is the sum of the two above it.\u0026lt;br \/\u0026gt;\nIn elementary algebra, the binomial theorem (or binomial expansion) describes the algebraic expansion of powers of a binomial.\u0026lt;br \/\u0026gt;\n\u0026lt;br \/\u0026gt;\n\u0026lt;strong\u0026gt;Learning Objectives\u0026lt;\/strong\u0026gt;\u0026lt;br \/\u0026gt;\n\u0026lt;br \/\u0026gt;\nIn this topic, you will be able to:\u0026lt;br \/\u0026gt;\n- state and prove the binomial theorem for positive integral values\u0026lt;br \/\u0026gt;\n- explain Pascal\u0026amp;#39;s triangle\u0026lt;br \/\u0026gt;\n- compute the value of a given number using the binomial theorem","BACKING_FILE":"ss300066.apk","FILE_UID":null,"SCORM_COURSE_ID":null,"CONT_SRC":"","MOD_FILES":null,"FOLDER_NAME":null,"CONTTYPE_ID":"9","ANDROID_PKG":"com.umety.vr.ss300066","TOPIC_ID":"ss300066","IS_PUBLISH":"Y","IS_PUBLIC":"Y","CONT_PRICE":null,"PUBLIC_IMG":"thumb_SS300066.jpg","PUBLIC_BANNER_IMG":"SS300066.jpg","PUBLIC_VIDEO":"pvideo_ss300066.mp4","PUBLIC_VIDEO_URL":"https:\/\/youtu.be\/_WPsvKBX-5o","DIST":null,"SHOW_ON_HOME":"N","CONTROLLER_REQUIRED":"Y","DOMAIN":"3","CONCEPT":"0","STATUS":"A","EXPIRY_DAYS":null,"CREATED_ON":"2018-12-03 09:10:03","CREATED_BY":"1","UPDATED_ON":"0000-00-00 00:00:00","UPDATED_BY":"2","CONT_ORDER":"0","X_ROTATION":null,"Y_ROTATION":null,"Z_ROTATION":null,"BG_COLOR":"0x000000","X_POSITION":null,"Y_POSITION":null,"Z_POSITION":null,"TEMP_DESC":"\u0026lt;div\u0026gt;Overview:\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;\u0026lt;br\u0026gt;\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;Binomial coefficients appear as the entries of Pascal\u0026#039;s triangle where each entry is the sum of the two above it. In elementary algebra, the binomial theorem (or binomial expansion) describes the algebraic expansion of powers of a binomial.\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;\u0026lt;br\u0026gt;\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;Learning Objectives:\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;\u0026lt;br\u0026gt;\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;\u0026lt;div\u0026gt;After completing this module, you will be able to:\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;- State and prove the binomial theorem for positive integral values.\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;- Explain Pascal\u0026#039;s triangle.\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;- Compute the value of a given number using the binomial theorem.\u0026lt;\/div\u0026gt;\u0026lt;\/div\u0026gt;","IS_ANALYTICS":"Y","VR_ENABLE":"Y","VR_SESSION_ENABLE":"Y","YOUTUBE_URL":null,"CONT_TYPE":"VR Module","CAT_NAME":"Binomial Theorem","ADMSUBJECT_ID":"1021","ADMCOURSE_ID":"291","DISPLAY_NAME":"Egypt (Updated) - Grade 12 - Math","DISPLAY_NAME_AR":"","SUBJECT_NAME":"Math","SUBJECT_NAME_AR":"","SUBJECT_DESC":"Description","SUBJECT_DESC_AR":"","SUBJECT_IMG":"","SUBJECT_BANNER_IMG":null,"SUBJECT_PRICE":null,"IS_FEATURED":"N","COURSE_NAME":"Grade 12","COUNTRY_ID":"320","SHORT_NAME":"Egypt (Updated)","DOMAIN_NAME":"STEM"},{"CONT_ID":"214","CATEGORY_ID":"1","CONT_TITLE":"Regression and Correlation","CONT_SLUG":"regression-and-correlation","CONT_TITLE_AR":"Regression and Correlation","CONT_DESC":"\u003Ch3\u003EOverview:\u003C\/h3\u003E \r\n\u003Cdiv\u003E \r\n \u003Cbr\u003E \r\n\u003C\/div\u003E \r\n\u003Cdiv\u003ERegression analysis involves identifying the relationship between a dependent variable and one or more independent variables. A model of this relationship is hypothesized, and estimates of the parameter values are then used to develop an estimated regression equation.\u003C\/div\u003E \r\n\u003Cdiv\u003E \r\n \u003Cbr\u003E \r\n\u003C\/div\u003E \r\n\u003Ch3\u003ELearning Objectives:\u003C\/h3\u003E \r\n\u003Cdiv\u003E \r\n \u003Cbr\u003E \r\n\u003C\/div\u003E \r\n\u003Cdiv\u003EAfter completing this module, you will be able to:\u003C\/div\u003E \r\n\u003Cdiv\u003E- Define regression and correlation.\u003C\/div\u003E \r\n\u003Cdiv\u003E- Apply the formulas for regression and correlation in real life.\u003C\/div\u003E \r\n\u003Cdiv\u003E- Apply the formula for finding the equation of a line.\u003C\/div\u003E","CONT_DESC_AR":"Regression analysis involves identifying the relationship between a dependent variable and one or more independent variables.\u0026lt;br \/\u0026gt;\nA model of this relationship is hypothesized, and estimates of the parameter values are used to develop an estimated regression equation.\u0026lt;br \/\u0026gt;\nRegression and correlation formulas and their usage in finding the equation of a line.\u0026lt;br \/\u0026gt;\n\u0026lt;strong\u0026gt;\u0026amp;nbsp;\u0026lt;br \/\u0026gt;\nLearning Objectives\u0026lt;\/strong\u0026gt;\u0026lt;br \/\u0026gt;\n\u0026amp;nbsp;\u0026lt;br \/\u0026gt;\nin this topic you will be able to:\u0026lt;br \/\u0026gt;\n\u0026amp;nbsp;\u0026lt;br \/\u0026gt;\n\u0026amp;bull; define regression and correlation\u0026lt;br \/\u0026gt;\n\u0026amp;bull; apply the formulas for regression and correlation in real life\u0026lt;br \/\u0026gt;\n\u0026amp;bull; apply the formula for finding the equation of a line\u0026lt;br \/\u0026gt;\n\u0026amp;nbsp;","BACKING_FILE":"ss300070.apk","FILE_UID":null,"SCORM_COURSE_ID":null,"CONT_SRC":"","MOD_FILES":null,"FOLDER_NAME":null,"CONTTYPE_ID":"9","ANDROID_PKG":"com.umety.vr.ss300070","TOPIC_ID":"ss300070","IS_PUBLISH":"Y","IS_PUBLIC":"Y","CONT_PRICE":null,"PUBLIC_IMG":"thumb_SS300070.jpg","PUBLIC_BANNER_IMG":"SS300070.jpg","PUBLIC_VIDEO":"pvideo_ss300070.mp4","PUBLIC_VIDEO_URL":"https:\/\/youtu.be\/USFehzuvA7o","DIST":null,"SHOW_ON_HOME":"N","CONTROLLER_REQUIRED":"Y","DOMAIN":"6","CONCEPT":"0","STATUS":"A","EXPIRY_DAYS":null,"CREATED_ON":"2018-12-03 09:10:03","CREATED_BY":"1","UPDATED_ON":"0000-00-00 00:00:00","UPDATED_BY":"2","CONT_ORDER":"0","X_ROTATION":null,"Y_ROTATION":null,"Z_ROTATION":null,"BG_COLOR":"0x000000","X_POSITION":null,"Y_POSITION":null,"Z_POSITION":null,"TEMP_DESC":"\u0026lt;div\u0026gt;Overview:\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;\u0026lt;br\u0026gt;\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;Regression analysis involves identifying the relationship between a dependent variable and one or more independent variables. 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The value of c is called the intercept on the y-axis.\u003C\/div\u003E \r\n\u003Cdiv\u003E \r\n \u003Cbr\u003E \r\n\u003C\/div\u003E \r\n\u003Ch3\u003ELearning Objectives:\u003C\/h3\u003E \r\n\u003Cdiv\u003E \r\n \u003Cbr\u003E \r\n\u003C\/div\u003E \r\n\u003Cdiv\u003EAfter completing this module, you will be able to:\u003C\/div\u003E \r\n\u003Cdiv\u003E- Define point-slope form.\u003C\/div\u003E \r\n\u003Cdiv\u003E- Define slope-intercept form.\u003C\/div\u003E \r\n\u003Cdiv\u003E- Define standard form.\u003C\/div\u003E","CONT_DESC_AR":"The general equation of a straight line is y = mx + c, where m is the gradient, and c is the value where the line cuts the y-axis.\u0026lt;br \/\u0026gt;\nThe value of c is called the intercept on the y-axis.\u0026lt;br \/\u0026gt;\n\u0026amp;nbsp;\u0026lt;br \/\u0026gt;\n\u0026lt;strong\u0026gt;Learning Objectives\u0026lt;br \/\u0026gt;\n\u0026amp;nbsp;\u0026lt;\/strong\u0026gt;\u0026lt;br \/\u0026gt;\nIn this simulation, you will be able to explore linear equations written in:\u0026lt;br \/\u0026gt;\n\u0026amp;bull; \u0026amp;nbsp;point-slope form\u0026lt;br \/\u0026gt;\n\u0026amp;bull; \u0026amp;nbsp;slope-intercept form\u0026lt;br \/\u0026gt;\n\u0026amp;bull; \u0026amp;nbsp;standard form","BACKING_FILE":"ms300073.apk","FILE_UID":null,"SCORM_COURSE_ID":null,"CONT_SRC":"","MOD_FILES":null,"FOLDER_NAME":null,"CONTTYPE_ID":"9","ANDROID_PKG":"com.umety.vr.ms300073","TOPIC_ID":"ms300073","IS_PUBLISH":"Y","IS_PUBLIC":"Y","CONT_PRICE":null,"PUBLIC_IMG":"thumb_MS300073.jpg","PUBLIC_BANNER_IMG":"MS300073.jpg","PUBLIC_VIDEO":"pvideo_ms300073.mp4","PUBLIC_VIDEO_URL":"https:\/\/youtu.be\/M6FZ3P3hQJs","DIST":null,"SHOW_ON_HOME":"N","CONTROLLER_REQUIRED":"Y","DOMAIN":"3","CONCEPT":"0","STATUS":"A","EXPIRY_DAYS":null,"CREATED_ON":"2018-12-03 09:10:03","CREATED_BY":"1","UPDATED_ON":"0000-00-00 00:00:00","UPDATED_BY":"2","CONT_ORDER":"0","X_ROTATION":null,"Y_ROTATION":null,"Z_ROTATION":null,"BG_COLOR":"0x000000","X_POSITION":null,"Y_POSITION":null,"Z_POSITION":null,"TEMP_DESC":"\u0026lt;div\u0026gt;Overview:\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;\u0026lt;br\u0026gt;\u0026lt;\/div\u0026gt;\u0026lt;div\u0026gt;The general equation of a straight line is y = mx + c, where m is the gradient, and c is the value where the line cuts the y-axis. 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