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Suppose a simple random sample of size n = 13 is obtained from a population with μ = 62 and o = 17. (a) What must be true regarding the distribution of the population in order to use the normal model to compute probabilities regarding the sample mean? Assuming the normal model can be used, describe the sampling distribution x. (b) Assuming the normal model can be used, determine P(x <66.3). (c) Assuming the normal model can be used, determine P(x264.1). Click here to view the standard normal distribution table (page 1). Click here to view the standard normal distribution table (page 2). B. There are no requirements on the shape of the distribution of the population. OC. Since the sample size is large enough, the population distribution does not need to be normal D. The population must be normally distributed and the sample size must be large Assuming the normal model can be used, describe the sampling distribution x. 13 ox=√17 A. Normal, with μ = 62 and o 17 B. Normal, with μ = 62 and o √13 OC. Normal, with μ = 62 and x = 17 (b) P(x<66.3)= (Round to four decimal places as needed.) C

Suppose a simple random sample of size n = 13 is obtained from a population with μ = 62 and o = 17. (a) What must be true regarding the distribution of the population in order to use the normal model to compute probabilities regarding the sample mean? Assuming the normal model can be used, describe the sampling distribution x. (b) Assuming the normal model can be used, determine P(x <66.3). (c) Assuming the normal model can be used, determine P(x264.1). Click here to view the standard normal distribution table (page 1). Click here to view the standard normal distribution table (page 2). B. There are no requirements on the shape of the distribution of the population. OC. Since the sample size is large enough, the population distribution does not need to be normal D. The population must be normally distributed and the sample size must be large Assuming the normal model can be used, describe the sampling distribution x. 13 ox=√17 A. Normal, with μ = 62 and o 17 B. Normal, with μ = 62 and o √13 OC. Normal, with μ = 62 and x = 17 (b) P(x<66.3)= (Round to four decimal places as needed.) C

MATLAB: An Introduction with Applications
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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Suppose a simple random sample of size n = 13 is obtained from a population with µ = 62 and o= 17. (a) What must be true regarding the distribution of the population in order to use the normal model to compute probabilities regarding the sample mean? Assuming the normal model can be used, describe the sampling distribution x (b) Assuming the normal model can be used, determine P(x < 66.3). (c) Assuming the normal model can be used, determine P(x 2 64.1). Click here to view the standard normal distribution table (page 1). Click here to view the standard normal distribution table (page 2). OB. There are no requirements on the shape of the distribution of the population. OC. Since the sample size is large enough, the population distribution does not need to be normal. OD. The population must be normally distributed and the sample size must be large Assuming the normal model can be used, describe the sampling distribution x. 13 A. Normal, with μ* = 62 and ox=√17 B. Normal, with OC. Normal, with Px Px dox = = 62 and = 62 and o- = 17 √13 = 17 (b) P(x<66.3) = (Round to four decimal places as needed.)
Transcribed Image Text:Suppose a simple random sample of size n = 13 is obtained from a population with µ = 62 and o= 17. (a) What must be true regarding the distribution of the population in order to use the normal model to compute probabilities regarding the sample mean? Assuming the normal model can be used, describe the sampling distribution x (b) Assuming the normal model can be used, determine P(x < 66.3). (c) Assuming the normal model can be used, determine P(x 2 64.1). Click here to view the standard normal distribution table (page 1). Click here to view the standard normal distribution table (page 2). OB. There are no requirements on the shape of the distribution of the population. OC. Since the sample size is large enough, the population distribution does not need to be normal. OD. The population must be normally distributed and the sample size must be large Assuming the normal model can be used, describe the sampling distribution x. 13 A. Normal, with μ* = 62 and ox=√17 B. Normal, with OC. Normal, with Px Px dox = = 62 and = 62 and o- = 17 √13 = 17 (b) P(x<66.3) = (Round to four decimal places as needed.)
Standard Normal Distribution Table (page 1) Area Z -3.4 -3.2 -29 -2.8 -2.7 -2.6 -2.5 -2.4 -2.2 -1.9 -1.8 0.00 0:0003 0.0005 0.0007 0.0010 0.0013 0.0019 0.0026 0.0035 0.0047 0.0062 0.0082 0.0107 0.01.39 0.0179 0.0228 0.0287 0.0359 0.01 0.0003 0.0005 0.0007 0.0009 0.0013 0.0018 0.0025 0.0034 0.0045 0.0060 0.0080 0.0104 0.0136 0.0174 0.0222 0.0281 0.0351 0.02 0.0003 0.0005 0.0006 0.0009 0.0013 0.0018 0.0024 0.0033 0.0044 0.0059 0.0078 0.0102 0.0132 0.0170 0.0217 0.0274 0.0344 Standard Normal Distribution 0.03 0.04 0.05 0.0003 0.0004 0.0006 0.0009 0.0012 0.00 17 0.0023 0.0032 0.0043 0.0057 0.0075 0.0099 0.0129 0.0166 0.0212 0.0268 0.0336 Print 0.0003 0.0004 0.0006 0.0008 0.0012 0.0016 0.0023 0.0031 0.0041 0.0055 0.0073 0.0096 0.0125 0.0162 0.0207 0.0262 0.0329 0.0003 0.0004 0.0006 0.0008 0.0011 0.0016 0.0022 0.0030 0.0040 0.0054 0.0071 0.0004 0.0122 0.0158 0.0202 0.0256 0.0322 Done 0.00 0.0003 0.0004 0.0006 0.0008 0.0011 0.0015 0.0021 0.0029 0.0039 0.0052 0.0069 0.0091 0.0119 0.0154 0.0197 0.0250 0.0314 0.07 0.0003 0.0004 0.0005 0.0008 0.0011 0.0015 0.0021 0.0028 0.0038 0.0051 0.0068 0.0089 0.0116 0.0150 0.0192 0.0244 0.0307 0.08 0.0003 0.0004 0.0005 0.0007 0.0010 0.0014 0.0020 0.0027 0.0037 0.0049 0.0066 0.0087 0.0113 0.0146 0.0188 0.0239 0.0301 0.09 0.0002 0.0003 0.0005 0.0007 0.0010 0.0014 0,0019 0.0026 0.0036 0.0048 0.0064 0.0084 0.0110 0.0143 0.0183 0.0233 0.0294
Transcribed Image Text:Standard Normal Distribution Table (page 1) Area Z -3.4 -3.2 -29 -2.8 -2.7 -2.6 -2.5 -2.4 -2.2 -1.9 -1.8 0.00 0:0003 0.0005 0.0007 0.0010 0.0013 0.0019 0.0026 0.0035 0.0047 0.0062 0.0082 0.0107 0.01.39 0.0179 0.0228 0.0287 0.0359 0.01 0.0003 0.0005 0.0007 0.0009 0.0013 0.0018 0.0025 0.0034 0.0045 0.0060 0.0080 0.0104 0.0136 0.0174 0.0222 0.0281 0.0351 0.02 0.0003 0.0005 0.0006 0.0009 0.0013 0.0018 0.0024 0.0033 0.0044 0.0059 0.0078 0.0102 0.0132 0.0170 0.0217 0.0274 0.0344 Standard Normal Distribution 0.03 0.04 0.05 0.0003 0.0004 0.0006 0.0009 0.0012 0.00 17 0.0023 0.0032 0.0043 0.0057 0.0075 0.0099 0.0129 0.0166 0.0212 0.0268 0.0336 Print 0.0003 0.0004 0.0006 0.0008 0.0012 0.0016 0.0023 0.0031 0.0041 0.0055 0.0073 0.0096 0.0125 0.0162 0.0207 0.0262 0.0329 0.0003 0.0004 0.0006 0.0008 0.0011 0.0016 0.0022 0.0030 0.0040 0.0054 0.0071 0.0004 0.0122 0.0158 0.0202 0.0256 0.0322 Done 0.00 0.0003 0.0004 0.0006 0.0008 0.0011 0.0015 0.0021 0.0029 0.0039 0.0052 0.0069 0.0091 0.0119 0.0154 0.0197 0.0250 0.0314 0.07 0.0003 0.0004 0.0005 0.0008 0.0011 0.0015 0.0021 0.0028 0.0038 0.0051 0.0068 0.0089 0.0116 0.0150 0.0192 0.0244 0.0307 0.08 0.0003 0.0004 0.0005 0.0007 0.0010 0.0014 0.0020 0.0027 0.0037 0.0049 0.0066 0.0087 0.0113 0.0146 0.0188 0.0239 0.0301 0.09 0.0002 0.0003 0.0005 0.0007 0.0010 0.0014 0,0019 0.0026 0.0036 0.0048 0.0064 0.0084 0.0110 0.0143 0.0183 0.0233 0.0294
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