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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 use 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 ≥ 64.1) 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. A. Normal, with μ-62 and o B. Normal, with μ-62 and o DC. 13 √17 17 √13 Normal, with μ* = 62 and ox=17 4

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 use 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 ≥ 64.1) 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. A. Normal, with μ-62 and o B. Normal, with μ-62 and o DC. 13 √17 17 √13 Normal, with μ* = 62 and ox=17 4

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section: Chapter Questions
Problem 8CR
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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
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 ≥ 64.1). 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. A. Normal, with OC. P B. Normal, with μ = 62 and o Normal, with = 62 and ox Px 13 √17 17 √13 = 62 and x = 17 X (b) P(x<66.3) = (Round to four decimal places as needed.) A
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 ≥ 64.1). 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. A. Normal, with OC. P B. Normal, with μ = 62 and o Normal, with = 62 and ox Px 13 √17 17 √13 = 62 and x = 17 X (b) P(x<66.3) = (Round to four decimal places as needed.) A
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