Understandable Statistics: Concepts and Methods |
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Page 188
... outcomes . Probability Formula When Outcomes Are Equally Likely Probability of an event = number of outcomes favorable to event total number of outcomes ( 2 ) In Henry's case , there are two possible outcomes . A test answer will be ...
... outcomes . Probability Formula When Outcomes Are Equally Likely Probability of an event = number of outcomes favorable to event total number of outcomes ( 2 ) In Henry's case , there are two possible outcomes . A test answer will be ...
Page 189
... outcome favorable to that event . P ( George ) = no . of favorable outcomes total no . of outcomes 1 = = 0.25 4 ( c ) Since Joanna is almost certain of success , she should make the probability close to 1. We would say P ( success ) is ...
... outcome favorable to that event . P ( George ) = no . of favorable outcomes total no . of outcomes 1 = = 0.25 4 ( c ) Since Joanna is almost certain of success , she should make the probability close to 1. We would say P ( success ) is ...
Page 227
... outcomes the same ? ( d ) Yes , as they should . ( e ) The outcomes are the same : RR , RB , BR , and BB . However , because one experiment did not permit replacement of the first ball before the second was drawn and the other ...
... outcomes the same ? ( d ) Yes , as they should . ( e ) The outcomes are the same : RR , RB , BR , and BB . However , because one experiment did not permit replacement of the first ball before the second was drawn and the other ...
Contents
Getting Started 1 | 1 |
2 Calculators and Computers in Statistics 17 | 17 |
2 Graphs 37 | 37 |
Copyright | |
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alternate hypothesis answer Appendix average binomial distribution calculator central limit theorem Chapter column ComputerStat confidence interval confidence level correlation coefficient corresponding critical region critical value data values degrees of freedom digits Display dollars equation error of estimate exam Example Explain fail to reject Figure Find a 95 Find the probability formula given graph GUIDED EXERCISE H₁ histogram independent least-squares line level of significance mean and standard median methods Minitab n₁ n₂ normal distribution null hypothesis outcomes p₁ percentage point estimate population mean probability distribution problem proportion random sample random variable rank regression right-tailed test sample mean sample space sample standard deviation sample statistic sample test statistic scatter diagram scores Section significance to test standard normal curve Student's t distribution Suppose test the claim theorem trials two-tailed test USA Today variance x₁ μ₁