12. A population is normally distributed with u = 300 and o = 25. a. Find the probability that a value randomly selected from this population will have a value greater than 350. b. Find the probability that a value randomly selected from this population will have a value less than 290. c. Find the probability that a value randomly selected from this population will have a value between 290 and 350. * Click the icon to view the standard normal table. a. P(x > 350) = (Round to four decimal places as needed.) b. P(x< 290) = (Round to four decimal places as needed.) c. P(290 < x<350) = (Round to four decimal places as needed.) 4: Standard Normal Distribution Table of the Area between 0 and z .00 .01 .02 .03 04 .05 .06 .07 .08 09 0.0 .0000 .0040 0080 0120 0160 .0199 0239 0279 .0319 0359 0.1 .0398 0438 0478 O517 0557 .0596 0636 0675 .0714 0753 0.2 .0793 0832 0871 0910 .0948 .0987 .1026 .1064 .1103 1141 0.3 .1179 .1217 .1255 .1293 1331 .1368 .1406 .1443 .1480 .1517 0.4 1554 .1591 1628 1664 .1700 .1736 1772 .1808 .1844 1879 0.5 .1915 1950 .1985 2019 2054 2088 2123 2157 2190 2224 0.6 2257 2291 2324 2357 2389 2422 2454 2486 2517 2549 0.7 2580 2611 2642 2673 2704 2734 2764 2794 2823 2852 0.8 2881 2910 2939 2967 2995 3023 3051 3078 .3106 3133 0.9 .3159 3186 3212 3238 .3264 .3289 3315 3340 .3365 3389 1.0 3413 3438 3461 3485 .3508 3531 3554 3577 3599 3621 1.1 3643 3665 3686 3708 3729 3749 3770 3790 3810 3830 1.2 3849 3869 3888 3907 3925 .3944 3962 3980 .3997 4015 1.3 4032 4049 4066 4082 4099 4115 4131 A147 4162 4177 1.4 A192 4207 4222 A236 4251 4265 4279 4292 4306 4319 1.5 A332 4345 4357 4370 4382 4394 4406 4418 4429 4441 1.6 4452 4463 4474 4484 4495 A505 AS15 A525 A535 A545 1.7 A554 4564 4573 A582 4591 4599 A608 4616 4625 4633 1.8 A641 4649 4656 A664 4671 4678 4686 A693 4699 4706 1.9 4713 4719 4726 4732 4738 4744 4750 4756 4761 4767 2.0 A772 4778 4783 4788 4793 4798 4803 4808 4812 4817 2.1 4821 4826 A830 4834 4838 4842 4846 4850 4854 A857 2.2 4861 4864 A868 A871 4875 4878 AS8I 4884 4887 4890 2.3 4893 4896 4898 4901 4904 4906 A909 4911 4913 4916 2.4 4918 4920 4922 4925 4927 4929 4931 4932 4934 4936 2.5 4938 4940 4941 4943 4945 4946 4948 4949 4951 4952 2.6 4953 4955 4956 4957 4959 4960 4961 4962 4963 4964 2.7 4965 4966 4967 4968 4969 4970 4971 4972 4973 4974 2.8 A974 4975 4976 4977 4977 4978 4979 4979 4980 4981 2.9 4981 4982 4982 4983 4984 4984 4985 4985 4986 4986 3.0 4987 4987 4987 4988 4988 4989 4989 4989 4990 4990
12. A population is normally distributed with u = 300 and o = 25. a. Find the probability that a value randomly selected from this population will have a value greater than 350. b. Find the probability that a value randomly selected from this population will have a value less than 290. c. Find the probability that a value randomly selected from this population will have a value between 290 and 350. * Click the icon to view the standard normal table. a. P(x > 350) = (Round to four decimal places as needed.) b. P(x< 290) = (Round to four decimal places as needed.) c. P(290 < x<350) = (Round to four decimal places as needed.) 4: Standard Normal Distribution Table of the Area between 0 and z .00 .01 .02 .03 04 .05 .06 .07 .08 09 0.0 .0000 .0040 0080 0120 0160 .0199 0239 0279 .0319 0359 0.1 .0398 0438 0478 O517 0557 .0596 0636 0675 .0714 0753 0.2 .0793 0832 0871 0910 .0948 .0987 .1026 .1064 .1103 1141 0.3 .1179 .1217 .1255 .1293 1331 .1368 .1406 .1443 .1480 .1517 0.4 1554 .1591 1628 1664 .1700 .1736 1772 .1808 .1844 1879 0.5 .1915 1950 .1985 2019 2054 2088 2123 2157 2190 2224 0.6 2257 2291 2324 2357 2389 2422 2454 2486 2517 2549 0.7 2580 2611 2642 2673 2704 2734 2764 2794 2823 2852 0.8 2881 2910 2939 2967 2995 3023 3051 3078 .3106 3133 0.9 .3159 3186 3212 3238 .3264 .3289 3315 3340 .3365 3389 1.0 3413 3438 3461 3485 .3508 3531 3554 3577 3599 3621 1.1 3643 3665 3686 3708 3729 3749 3770 3790 3810 3830 1.2 3849 3869 3888 3907 3925 .3944 3962 3980 .3997 4015 1.3 4032 4049 4066 4082 4099 4115 4131 A147 4162 4177 1.4 A192 4207 4222 A236 4251 4265 4279 4292 4306 4319 1.5 A332 4345 4357 4370 4382 4394 4406 4418 4429 4441 1.6 4452 4463 4474 4484 4495 A505 AS15 A525 A535 A545 1.7 A554 4564 4573 A582 4591 4599 A608 4616 4625 4633 1.8 A641 4649 4656 A664 4671 4678 4686 A693 4699 4706 1.9 4713 4719 4726 4732 4738 4744 4750 4756 4761 4767 2.0 A772 4778 4783 4788 4793 4798 4803 4808 4812 4817 2.1 4821 4826 A830 4834 4838 4842 4846 4850 4854 A857 2.2 4861 4864 A868 A871 4875 4878 AS8I 4884 4887 4890 2.3 4893 4896 4898 4901 4904 4906 A909 4911 4913 4916 2.4 4918 4920 4922 4925 4927 4929 4931 4932 4934 4936 2.5 4938 4940 4941 4943 4945 4946 4948 4949 4951 4952 2.6 4953 4955 4956 4957 4959 4960 4961 4962 4963 4964 2.7 4965 4966 4967 4968 4969 4970 4971 4972 4973 4974 2.8 A974 4975 4976 4977 4977 4978 4979 4979 4980 4981 2.9 4981 4982 4982 4983 4984 4984 4985 4985 4986 4986 3.0 4987 4987 4987 4988 4988 4989 4989 4989 4990 4990
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
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