1<\/sub> = 1.29
\n\u2234 \\(\\frac { 86-\u00b5 }{\u03c3}\\) = 1.29
\n86 – \u00b5 = 1.29 \u03c3
\n\u00b5 + 1.29\u03c3 = 86 \u2192 2
\nsolving eqn 1 & 2
\neqn 2 \u21d2 m + 1.29\u03c3 = 86
\neqn 1 \u21d2 m + 0.53\u03c3 = 50
\n– + – ………….
\n………… 1.82 ………… \u03c3 = 36 ………….
\n\u03c3 = \\(\\frac { 36 }{1.82}\\) \u2234 = 19.78
\nSubstitute \u03c3 = 19.78 in eqn 1
\n\u00b5 – 0.53(19.78) = 50
\n\u00b5 -10.48 = 50
\n\u00b5 = 50 + 10.48
\n\u00b5 = 60.48
\nMean = 60.48 and standard deviation = 19.78<\/p>\nQuestion 7.
\nX is normally distributed with mean 12 and sd 4. Find P (x \u2264) 20 and P (0 \u2264 x \u2264 12)
\nSolution:
\nx is normally distribution with mean 12 and sd 4
\n\u2234 \u00b5 = 12 and \u03c3 = 4
\nStandard normal variable
\nz = \\(\\frac { x-\u00b5 }{\u03c3}\\) = \\(\\frac { x-12 }{4}\\)
\n(i) p(x \u2264 20)
\n
\nwhen x = 20
\nz = \\(\\frac { 20-12 }{4}\\) = \\(\\frac { 8 }{4}\\) = 2
\nv(x \u2264 20) = \\(\\frac { 8 }{4}\\) = 2
\np(x \u2264 20) = p(z \u2264 2)
\n= 0.5 + p(0 < z < 2)
\n= 0.5 + 0.4772
\n= 0.9772<\/p>\n
(ii) p(0 < x < 12 )
\n
\nwhen x = 0
\nz = \\(\\frac { 0-12 }{4}\\) = \\(\\frac { -12 }{4}\\) = -3
\nwhen x = 12
\nz = \\(\\frac { 12-12 }{4}\\) = \\(\\frac { 0 }{4}\\) = 0
\np(0 \u2264 x \u2264 12) = p(-3 \u2264 z \u2264 0)
\n= p(0 \u2264 z \u2264 3)
\n= 0.4987<\/p>\n
<\/p>\n
Question 8.
\nIf the heights of 500 students are normally distributed with mean 68.0 inches and standard deviation 3.0 inches, how many students have height
\n(a) greater than 2 inches
\n(b) less than or equal to 64 inches
\n(c) between 65 and 71 inches.
\nSolution:
\nlet x denote the height of a student N = 500; m = 68.0 inches and \u03c3 = 3.0 inches the standard normal variate
\nz = \\(\\frac { x-\u00b5 }{\u03c3}\\) = \\(\\frac { x-68 }{3}\\)
\na(greater than 72 inches)
\np = p(x > 72)
\nwhen x = 72
\nz = \\(\\frac { 72-68 }{3}\\) = \\(\\frac { 4 }{3}\\) = 1.33
\np(x > 72) = p(z > 1.33)
\n= 0.5 – 0.4082
\n= 0.0918
\n
\nNumber of students whose height are greater than 72 inches
\n= 0.0918 \u00d7 500
\n= 45.9
\n= 46 (approximately)<\/p>\n
(b) p(less than or equal to 64 inches)
\np(x \u2264 64)
\nwhen x = 64
\nz = \\(\\frac { 64-68 }{3}\\) = \\(\\frac { -4 }{3}\\) = -1.33
\np(x \u2264 64) = p(z \u2264 -1.33)
\np(z \u2265 -1.33)
\n= 0.5 – 0.4082
\n= 0.0918
\n
\n\u2234 Number of heights whose ate less than or equal to 64 inches = 0.0918 \u00d7 500
\n= 45.9
\n= 46 (approximately)<\/p>\n
(c) p(between 65 and 71 inches)
\np(65 \u2264 x \u2264 71)
\nwhen x = 65
\n
\nz = \\(\\frac { 65-68 }{3}\\) = \\(\\frac { -3 }{3}\\) = -1
\nwhen x = 71
\nz = \\(\\frac { 71-68 }{3}\\) = \\(\\frac { 3 }{3}\\) = 1
\np(65 \u2264 x \u2264 71) = p(-1 < z < 1)
\n= p(-1 < z < 0) + p(0 < z < 1)
\n= p(0 < z < 1) + p(0 < z < 1)
\n= 2 \u00d7 [p(0 < z < 1)]
\n= 2 \u00d7 0.3413
\n= 0.6826
\n\u2234 Number of students whose height between 65 and 7 inches = 0.6826 \u00d7 500
\n= 341.3
\n= 342 (approximately)<\/p>\n
<\/p>\n
Question 9.
\nIn a photographic process, the developing time of prints may be looked upon as a random variable having the normal distribution with a mean of 16.28 seconds and a standard deviation of 0.12 second. Find the probability that it will take less than 16.35 seconds to develop prints.
\nSolution:
\nlet x be the random variable have long the normal distribution with a mean of 16.28 seconds and a standard deviation of 0.12 second
\n
\n\u00b5 = 16,28 and \u03c3 = 0.12
\nThe standard normal variate
\nz = \\(\\frac { x-\u00b5 }{\u03c3}\\) = \\(\\frac { x-16.28 }{0.12}\\) = 1
\np(less than 16.35 seconds) = p(x < 16.35)
\nwhen x = 16.35
\nz = \\(\\frac { 16.35-16.28 }{0.12}\\) = \\(\\frac { 0.07 }{0.12}\\) = 0.583
\np(x< 16.35) = p(z < 0.583)
\n= p(\u2014\u221e < z < 0) + p(0 < z < 0.583)
\n= 0.5 + 0.2190
\n= 0.7190<\/p>\n
Question 10.
\nIf the heights of 500 students are normally distributed with mean of 68.0 inches and standard deviation of 3.0 inches, how many students have a height (a) greater than 2 inches (b) less than or equal to 64 inches (c) between 65 and 71 inches.
\nSolution:
\nLet x be a normal variate with mean of 400 labour days and a standard deviation of 100 labour days
\nm = 400 and \u03c3 = 100
\nThe construction work should be completed within 450 days.
\nThe standard normal variate
\n\\(\\frac { x-\u00b5 }{6}\\) = \\(\\frac { x-400 }{100}\\)
\npersonality for 1 labour day = Rs 10,000
\nIf personality amount is = 2,00,000 than No of excess
\n
\ndays = \\(\\frac { 200000 }{10000}\\) = 20
\n\u2234 x = 450 + 20 = 470
\nwhen x = 470
\nz = \\(\\frac { 470-400 }{100}\\) = \\(\\frac { 70 }{100}\\) = 0.7
\n= p(x \u2265 470) = p(z \u2265 0.7)
\n= 0.5 – 0.2580
\n= 0.2420<\/p>\n
(ii) p(at most 500 days) = p(x \u2264 500 )
\nwhen x = 500
\n
\nz = \\(\\frac { 500-400 }{100}\\) = \\(\\frac { 100 }{100}\\) = 1
\np(x \u2264 500) = p(z \u2264 1)
\n= p(\u221e < z < 0) -r- p(0 < z < 1)
\n= 0.5 + 0.3415
\n= 0.8413<\/p>\n
<\/p>\n","protected":false},"excerpt":{"rendered":"
Tamilnadu State Board New Syllabus\u00a0Samacheer Kalvi 12th Business Maths Guide Pdf Chapter 7 Probability Distributions Ex 7.3 Text Book Back Questions and Answers, Notes. Tamilnadu Samacheer Kalvi 12th Business Maths Solutions Chapter 7 Probability Distributions Ex 7.3 Question 1. Define normal distribution. Solution: A random variable X is said to follow a normal distribution with …<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","enabled":false},"version":2}},"categories":[5],"tags":[],"class_list":["post-36970","post","type-post","status-publish","format-standard","hentry","category-class-12"],"jetpack_publicize_connections":[],"jetpack_sharing_enabled":true,"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/samacheerkalvi.guide\/wp-json\/wp\/v2\/posts\/36970"}],"collection":[{"href":"https:\/\/samacheerkalvi.guide\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/samacheerkalvi.guide\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/samacheerkalvi.guide\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/samacheerkalvi.guide\/wp-json\/wp\/v2\/comments?post=36970"}],"version-history":[{"count":1,"href":"https:\/\/samacheerkalvi.guide\/wp-json\/wp\/v2\/posts\/36970\/revisions"}],"predecessor-version":[{"id":41749,"href":"https:\/\/samacheerkalvi.guide\/wp-json\/wp\/v2\/posts\/36970\/revisions\/41749"}],"wp:attachment":[{"href":"https:\/\/samacheerkalvi.guide\/wp-json\/wp\/v2\/media?parent=36970"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/samacheerkalvi.guide\/wp-json\/wp\/v2\/categories?post=36970"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/samacheerkalvi.guide\/wp-json\/wp\/v2\/tags?post=36970"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}