The Weather Channel (TWC) is one of the most popular cable TV networks. However, the number of viewers varies greatly according to geographic region and the current weather conditions. Random samples...


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The Weather Channel (TWC) is one of the most popular cable TV networks. However,<br>the number of viewers varies greatly according to geographic region and the current<br>weather conditions. Random samples of cable TV viewers in the Northeast (population 1)<br>and in the West (population 2) were obtained. The number of viewers who watched TWC<br>in the past week was recorded. The data are given in the following table:<br>Northeast<br>West<br>Sample size<br>n = 1200<br>n, = 1700<br>Number of successes<br>X; = 536<br>X2 = 343<br>a. What is the parameter of interest?<br>b. What is a success in this problem?<br>c. Construct a 98% confidence interval for the true difference in proportions of cable TV<br>viewers who watched TWC in the past week.<br>d. Is there any evidence to suggest that the two proportions are different?<br>

Extracted text: The Weather Channel (TWC) is one of the most popular cable TV networks. However, the number of viewers varies greatly according to geographic region and the current weather conditions. Random samples of cable TV viewers in the Northeast (population 1) and in the West (population 2) were obtained. The number of viewers who watched TWC in the past week was recorded. The data are given in the following table: Northeast West Sample size n = 1200 n, = 1700 Number of successes X; = 536 X2 = 343 a. What is the parameter of interest? b. What is a success in this problem? c. Construct a 98% confidence interval for the true difference in proportions of cable TV viewers who watched TWC in the past week. d. Is there any evidence to suggest that the two proportions are different?
STANDARD NORMAL TABLE (z)<br>Entries in the table give the area under the curve<br>between the mean and z standard deviations above<br>the mean. For example, for z = 1.25 the area under<br>the curve between the mean (0) and z is 0.3944.<br>0.00<br>0.01<br>0.02<br>0.03<br>0.04<br>0.05<br>0.06<br>0.07<br>0.08<br>0.09<br>0.0<br>0.0000<br>0.0040<br>0.0080<br>0.0120<br>0.0160<br>0.0190<br>0.0239<br>0.0279<br>0.0319<br>0.0359<br>0.1<br>0.0398<br>0.0438<br>0.0478<br>0.0517<br>0.0557<br>0.0596<br>0.0636<br>0.0675<br>0.0714<br>0.0753<br>0.2<br>0.0793<br>0.0832<br>0.0871<br>0.0910<br>0.0948<br>0.0987<br>0.1026<br>0.1064<br>0.1103<br>0.1141<br>0.3<br>0.4<br>0.1179<br>0.1217<br>0.1255<br>0.1293<br>0.1331<br>0.1368<br>0.1406<br>0.1443<br>0.1480<br>0.1517<br>0.1554<br>0.1591<br>0.1628<br>0.1664<br>0.1700<br>0.1736<br>0.1772<br>0.1808<br>0.1844<br>0.1879<br>0.5<br>0.1915<br>0.1950<br>0.1985<br>0.2019<br>0.2054<br>0.2088<br>0.2123<br>0.2157<br>0.2190<br>0.2224<br>0.6<br>0.2257<br>0.2291<br>0.2324<br>0.2357<br>0.2389<br>0.2422<br>0.2454<br>0.2486<br>0.2517<br>0.2549<br>0.7<br>0.2580<br>0.2611<br>0.2642<br>0.2673<br>0.2704<br>0.2734<br>0.2764<br>0.2794<br>0.2823<br>0.2852<br>0.8<br>0.2881<br>0.2910<br>0.2939<br>0.2969<br>0.2995<br>0.3023<br>0.3051<br>0.3078<br>0.3106<br>0.3133<br>0.9<br>0.3159<br>0.3186<br>0.3212<br>0.3238<br>0.3264<br>0.3289<br>0.3315<br>0.3340<br>0.3365<br>0.3389<br>1.0<br>0.3413<br>0.3438<br>0.3461<br>0.3485<br>0.3508<br>0.3513<br>0.3554<br>0.3577<br>0.3529<br>0.3621<br>1.1<br>0.3643<br>0.3665<br>0.3686<br>0.3708<br>0.3729<br>0.3749<br>0.3770<br>0.3790<br>0.3810<br>0.3830<br>1.2<br>0.3849<br>0.3869<br>0.3888<br>0.3907<br>0.3925<br>0.3944<br>0.3962<br>0.3980<br>0.3997<br>0.4015<br>1.3<br>0.4032<br>0.4049<br>0.4066<br>0.4082<br>0.4099<br>0.4115<br>0.4131<br>0.4147<br>0.4162<br>0.4177<br>1.4<br>0.4192<br>0.4207<br>0.4222<br>0.4236<br>0.4251<br>0.4265<br>0.4279<br>0.4292<br>0.4306<br>0.4319<br>1.5<br>0.4332<br>0.4345<br>0.4357<br>0.4370<br>0.4382<br>0.4394<br>0.4406<br>0.4418<br>0.4429<br>0.4441<br>1.6<br>0.4452<br>0.4463<br>0.4474<br>0.4484<br>0.4495<br>0.4505<br>0.4515<br>0.4525<br>0.4535<br>0.4545<br>1.7<br>0.4554<br>0.4564<br>0.4573<br>0.4582<br>0.4591<br>0.4599<br>0.4608<br>0.4616<br>0.4625<br>0.4633<br>1.8<br>0.4641<br>0.4649<br>0.4656<br>0.4664<br>0.4671<br>0.4678<br>0.4686<br>0.4693<br>0.4699<br>0.4706<br>1.9<br>0.4713<br>0.4719<br>0.4726<br>0.4732<br>0.4738<br>0.4744<br>0.4750<br>0.4756<br>0.4761<br>0.4767<br>2.0<br>0.4772<br>0.4778<br>0.4783<br>0.4788<br>0.4793<br>0.4798<br>0.4803<br>0.4808<br>0.4812<br>0.4817<br>2.1<br>0.4821<br>0.4826<br>0.4830<br>0.4834<br>0.4838<br>0.4842<br>0.4846<br>0.4850<br>0.4854<br>0.4857<br>2.2<br>0.4861<br>0.4864<br>0.4868<br>0.4871<br>0.4875<br>0.4878<br>0.4881<br>0.4884<br>0.4887<br>0.4890<br>2.3<br>0.4893<br>0.4896<br>0.4898<br>0.4901<br>0.4904<br>0.4906<br>0.4909<br>0.4911<br>0.4913<br>0.4916<br>2.4<br>0.4918<br>0.4920<br>0.4922<br>0.4925<br>0.4927<br>0.4929<br>0.4931<br>0.4932<br>0.4934<br>0.4936<br>2.5<br>0.4938<br>0.4940<br>0.4941<br>0.4943<br>0.4945<br>0.4946<br>0.4948<br>0.4949<br>0.4951<br>0.4952<br>2.6<br>0.4953<br>0.4955<br>0.4956<br>0.4957<br>0.4959<br>0.4960<br>0.4961<br>0.4962<br>0.4963<br>0.4964<br>2.7<br>0.4965<br>0.4966<br>0.4967<br>0.4968<br>0.4969<br>0.4970<br>0.4971<br>0.4972<br>0.4973<br>0.4974<br>2.8<br>2.9<br>0.4974<br>0.4975<br>0.4976<br>0.4977<br>0.4977<br>0.4978<br>0.4979<br>0.4979<br>0.4980<br>0.4981<br>0.4981<br>0.4982<br>0.4982<br>0.4983<br>0.4984<br>0.4984<br>0.4985<br>0.4985<br>0.4986<br>0.4986<br>3.0<br>0.4987<br>0.4987<br>0.4987<br>0.4988<br>0.4988<br>0.4989<br>0.4989<br>0.4989<br>0.4990<br>0.4990<br>3.1<br>0.4990<br>0.4991<br>0.4991<br>0.4991<br>0.4992<br>0.4992<br>0.4992<br>0.4992<br>0.4993<br>0.4993<br>3.2<br>0.4993<br>0.4993<br>0.4994<br>0.4994<br>0.4994<br>0.4994<br>0.4994<br>0.4995<br>0.4995<br>0.4995<br>3.3<br>0.4995<br>0.4995<br>0.4995<br>0.4996<br>0.4996<br>0.4996<br>0.4996<br>0.4996<br>0.4996<br>0.4997<br>3.4<br>0.4997<br>0.4997<br>0.4997<br>0.4997<br>0.4997<br>0.4997<br>0.4997<br>0.4997<br>0.4997<br>0.4998<br>

Extracted text: STANDARD NORMAL TABLE (z) Entries in the table give the area under the curve between the mean and z standard deviations above the mean. For example, for z = 1.25 the area under the curve between the mean (0) and z is 0.3944. 0.00 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.0 0.0000 0.0040 0.0080 0.0120 0.0160 0.0190 0.0239 0.0279 0.0319 0.0359 0.1 0.0398 0.0438 0.0478 0.0517 0.0557 0.0596 0.0636 0.0675 0.0714 0.0753 0.2 0.0793 0.0832 0.0871 0.0910 0.0948 0.0987 0.1026 0.1064 0.1103 0.1141 0.3 0.4 0.1179 0.1217 0.1255 0.1293 0.1331 0.1368 0.1406 0.1443 0.1480 0.1517 0.1554 0.1591 0.1628 0.1664 0.1700 0.1736 0.1772 0.1808 0.1844 0.1879 0.5 0.1915 0.1950 0.1985 0.2019 0.2054 0.2088 0.2123 0.2157 0.2190 0.2224 0.6 0.2257 0.2291 0.2324 0.2357 0.2389 0.2422 0.2454 0.2486 0.2517 0.2549 0.7 0.2580 0.2611 0.2642 0.2673 0.2704 0.2734 0.2764 0.2794 0.2823 0.2852 0.8 0.2881 0.2910 0.2939 0.2969 0.2995 0.3023 0.3051 0.3078 0.3106 0.3133 0.9 0.3159 0.3186 0.3212 0.3238 0.3264 0.3289 0.3315 0.3340 0.3365 0.3389 1.0 0.3413 0.3438 0.3461 0.3485 0.3508 0.3513 0.3554 0.3577 0.3529 0.3621 1.1 0.3643 0.3665 0.3686 0.3708 0.3729 0.3749 0.3770 0.3790 0.3810 0.3830 1.2 0.3849 0.3869 0.3888 0.3907 0.3925 0.3944 0.3962 0.3980 0.3997 0.4015 1.3 0.4032 0.4049 0.4066 0.4082 0.4099 0.4115 0.4131 0.4147 0.4162 0.4177 1.4 0.4192 0.4207 0.4222 0.4236 0.4251 0.4265 0.4279 0.4292 0.4306 0.4319 1.5 0.4332 0.4345 0.4357 0.4370 0.4382 0.4394 0.4406 0.4418 0.4429 0.4441 1.6 0.4452 0.4463 0.4474 0.4484 0.4495 0.4505 0.4515 0.4525 0.4535 0.4545 1.7 0.4554 0.4564 0.4573 0.4582 0.4591 0.4599 0.4608 0.4616 0.4625 0.4633 1.8 0.4641 0.4649 0.4656 0.4664 0.4671 0.4678 0.4686 0.4693 0.4699 0.4706 1.9 0.4713 0.4719 0.4726 0.4732 0.4738 0.4744 0.4750 0.4756 0.4761 0.4767 2.0 0.4772 0.4778 0.4783 0.4788 0.4793 0.4798 0.4803 0.4808 0.4812 0.4817 2.1 0.4821 0.4826 0.4830 0.4834 0.4838 0.4842 0.4846 0.4850 0.4854 0.4857 2.2 0.4861 0.4864 0.4868 0.4871 0.4875 0.4878 0.4881 0.4884 0.4887 0.4890 2.3 0.4893 0.4896 0.4898 0.4901 0.4904 0.4906 0.4909 0.4911 0.4913 0.4916 2.4 0.4918 0.4920 0.4922 0.4925 0.4927 0.4929 0.4931 0.4932 0.4934 0.4936 2.5 0.4938 0.4940 0.4941 0.4943 0.4945 0.4946 0.4948 0.4949 0.4951 0.4952 2.6 0.4953 0.4955 0.4956 0.4957 0.4959 0.4960 0.4961 0.4962 0.4963 0.4964 2.7 0.4965 0.4966 0.4967 0.4968 0.4969 0.4970 0.4971 0.4972 0.4973 0.4974 2.8 2.9 0.4974 0.4975 0.4976 0.4977 0.4977 0.4978 0.4979 0.4979 0.4980 0.4981 0.4981 0.4982 0.4982 0.4983 0.4984 0.4984 0.4985 0.4985 0.4986 0.4986 3.0 0.4987 0.4987 0.4987 0.4988 0.4988 0.4989 0.4989 0.4989 0.4990 0.4990 3.1 0.4990 0.4991 0.4991 0.4991 0.4992 0.4992 0.4992 0.4992 0.4993 0.4993 3.2 0.4993 0.4993 0.4994 0.4994 0.4994 0.4994 0.4994 0.4995 0.4995 0.4995 3.3 0.4995 0.4995 0.4995 0.4996 0.4996 0.4996 0.4996 0.4996 0.4996 0.4997 3.4 0.4997 0.4997 0.4997 0.4997 0.4997 0.4997 0.4997 0.4997 0.4997 0.4998

Jun 03, 2022
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