{"id":36970,"date":"2024-12-29T04:32:39","date_gmt":"2024-12-28T23:02:39","guid":{"rendered":"https:\/\/samacheerkalvi.guide\/?p=36970"},"modified":"2024-12-30T10:09:31","modified_gmt":"2024-12-30T04:39:31","slug":"samacheer-kalvi-12th-business-maths-guide-chapter-7-ex-7-3","status":"publish","type":"post","link":"https:\/\/samacheerkalvi.guide\/samacheer-kalvi-12th-business-maths-guide-chapter-7-ex-7-3\/","title":{"rendered":"Samacheer Kalvi 12th Business Maths Guide Chapter 7 Probability Distributions Ex 7.3"},"content":{"rendered":"

Tamilnadu State Board New Syllabus\u00a0Samacheer Kalvi 12th Business Maths Guide<\/a> Pdf Chapter 7 Probability Distributions Ex 7.3 Text Book Back Questions and Answers, Notes.<\/p>\n

Tamilnadu Samacheer Kalvi 12th Business Maths Solutions Chapter 7 Probability Distributions Ex 7.3<\/h2>\n

Question 1.
\nDefine normal distribution.
\nSolution:
\nA random variable X is said to follow a normal distribution with parameters mean \u00b5 and varaince \u03c3\u00b2, if its probability density function is given by
\n\"Samacheer<\/p>\n

\"Samacheer<\/p>\n

Question 2.
\nDefine standard normal variate.
\nSolution:
\nA random variable Z = (X – \u00b5)\/\u03c3 follows the standard normal distribution. Z is called the standard normal variate with mean 0 and standard deviation 1 i.e Z – N (0, 1). Its Probability density function is given by:
\n\u03c6(z) = \\(\\frac { 1 }{\\sqrt {2\u03c0}}\\) e-x\u00b2<\/sup>\/2 -\u221e < z < \u221e<\/p>\n

Question 3.
\nWrite down the conditions in which the normal distribution is a limiting case of the binomial distribution.
\nSolution:
\nThe Normal distribution is a limiting case of Binomial distribution under the following conditions:<\/p>\n