ul T-Mobile LTE1 7:58 PM•n 94%Done15 of 17aFOUFOU OI aTL I FOI I O I FJLX O: MI aMI FOU I O0e由 @ ☆Undatei Kudont.desmos.com/sctivitybuilderistudent6089F5c70a264d0cbdd79fafdscreenld-la8ac431-0181-4449 6201-850010/e5fca+ Lainh Selirg Asscc ate-..B Sign in P View Portrai: Prse.O Nursing: Traltiu.Sesoi an Expiration.Clara Destiny ale.O Imcloymeni CerterApps Cute Core.5 of 12Next >= Unit 4. Lesson 15: Questioning ExperimentingDstry OlegouUsing Tables for Normal Distribution AreasA factory produces baseballs. The weights of the baseballs produced are approximately normally distributed with a mean wcight of 145 grams and astandard deviation of 2 grams. Oficial rules require the balls to weigh between 142 and 149 grams. Recall that the proportion of items in an interval of anapproximately normally distributed situation is the same as the area under the normal curve. A table can be used to determine the area under a normal curvebounded by an interval.First, the relevant values need to be converted to a z-score. A value's z-score represents the number of standard deviations it is above the mean. In thebaseball example, the value 147 grams has a z-score of 1 since it is 1 standard deviation above the mean. The value 140 grams has a z-score of -2.5 sinceIt is 2.5 standard deviations below the mean.value – meanIn general, a Z-score can be found using z-s tan dard deviationFind the z-score for 142 grams.Find the z-score for 149 grams.What value would have a z-SIore of 1.45?What valun would have a z-score of -1.45?Submit and ExplainSubmitFTFIN23249delete{WYPASGHJKockre>?VB NMoptioncommandcommandoption>

Given : mean = 145 standard deviation = 2 The formula for Z score is : Z=value-meanstandard…

Destry Okegou Using Tables for Normal Distribution Areas A factory produces basaballs. The woights of the baseballs produced are approximately normally distributed with a mean woight of 145 grams and a standard deviation of 2 grams. Offcial ruies roquire the balls to weigh between 142 and 149 grams. Recall that the proportion of items in an interval of an approximately norrmally distributed situation is the samo as the area under the normal curve. A table can be used to detomine tho area undor a normal curve bounded by an interval. First, the relevant values need to be converted to a z-score. A value's z-score reprasonts the number of standard deviations it is above the mean, In the baseball example, the value 147 grams has a z-scora of 1 since it is 1 standard deviation above the mean. The value 140 grams has a z-acore of -2.5 aince It is 2.6 standard doviations below the mean. value - mean In genoral, a z-Bcore can bo found using z= s tan dard deviation Find the z-80ore for 142 grams. Find the z-score for 149 grams. What value would have a z-scora of 1.45? What valun would have a z-scoro of -1.45? Submit and Explain Submit

Destry Okegou Using Tables for Normal Distribution Areas A factory produces basaballs. The woights of the baseballs produced are approximately normally distributed with a mean woight of 145 grams and a standard deviation of 2 grams. Offcial ruies roquire the balls to weigh between 142 and 149 grams. Recall that the proportion of items in an interval of an approximately norrmally distributed situation is the samo as the area under the normal curve. A table can be used to detomine tho area undor a normal curve bounded by an interval. First, the relevant values need to be converted to a z-score. A value's z-score reprasonts the number of standard deviations it is above the mean, In the baseball example, the value 147 grams has a z-scora of 1 since it is 1 standard deviation above the mean. The value 140 grams has a z-acore of -2.5 aince It is 2.6 standard doviations below the mean. value - mean In genoral, a z-Bcore can bo found using z= s tan dard deviation Find the z-80ore for 142 grams. Find the z-score for 149 grams. What value would have a z-scora of 1.45? What valun would have a z-scoro of -1.45? Submit and Explain Submit

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter10: Sequences, Series, And Probability

Section10.8: Probability

Problem 32E

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