Two events are independent if knowledge of one
... case when you are selecting from a fixed number of subjects or objects. For example, selecting pens from a bag or people from a class are considered dependent when items are not replaced. Use the multiplication rule to find the probability that both events occur. The probability will change with eac ...
... case when you are selecting from a fixed number of subjects or objects. For example, selecting pens from a bag or people from a class are considered dependent when items are not replaced. Use the multiplication rule to find the probability that both events occur. The probability will change with eac ...
Statistics 4
... Candidates are expected to know the content for C1, C2, C3 and C4, for FP1 and for S1, S2 and S3. Candidates who wish to study the Generating Functions option must ensure they have appropriate pure mathematics facility in respect of calculus and the summation of series. ...
... Candidates are expected to know the content for C1, C2, C3 and C4, for FP1 and for S1, S2 and S3. Candidates who wish to study the Generating Functions option must ensure they have appropriate pure mathematics facility in respect of calculus and the summation of series. ...
DOC Counting Statistics Instructor Notes
... to be incorporated as much as possible, when applicable: ...
... to be incorporated as much as possible, when applicable: ...
Unit 4 - w-up A (student)
... 1. I toss a penny and observe whether it lands heads up or tails up. Suppose the penny is fair, that is, the probability of heads is ½ and the probability of tails is ½. This means A) that every occurrence of a head must be balanced by a tail in one of the next two or three tosses B) that if I flip ...
... 1. I toss a penny and observe whether it lands heads up or tails up. Suppose the penny is fair, that is, the probability of heads is ½ and the probability of tails is ½. This means A) that every occurrence of a head must be balanced by a tail in one of the next two or three tosses B) that if I flip ...
1 - McNelis
... 1. I toss a penny and observe whether it lands heads up or tails up. Suppose the penny is fair, that is, the probability of heads is ½ and the probability of tails is ½. This means A) that every occurrence of a head must be balanced by a tail in one of the next two or three tosses B) that if I flip ...
... 1. I toss a penny and observe whether it lands heads up or tails up. Suppose the penny is fair, that is, the probability of heads is ½ and the probability of tails is ½. This means A) that every occurrence of a head must be balanced by a tail in one of the next two or three tosses B) that if I flip ...
Bernoulli Distribution
... interested in recording the number of “successes” we extract. If, after each human is sampled and recorded for either “success” or “failure” we replace him/her back into the population to be sampled, then the samples are all independent and all have the same probability of producing a success. Thus ...
... interested in recording the number of “successes” we extract. If, after each human is sampled and recorded for either “success” or “failure” we replace him/her back into the population to be sampled, then the samples are all independent and all have the same probability of producing a success. Thus ...
MULTIPLE CHOICE. Choose the one alternative that best completes
... Find the necessary sample size. 10) You wish to estimate the mean weight of machine components of a certain type and you require a 92% degree of confidence that the sample mean will be in error by no more than 0.008 g. Find the sample size required. A pilot study showed that the population standard ...
... Find the necessary sample size. 10) You wish to estimate the mean weight of machine components of a certain type and you require a 92% degree of confidence that the sample mean will be in error by no more than 0.008 g. Find the sample size required. A pilot study showed that the population standard ...
Chapter 6
... The Variance, and Standard Deviation of a Probability Distribution Variance and Standard Deviation • Measures the amount of spread in a distribution • The computational steps are: 1. Subtract the mean from each value, and square this difference. 2. Multiply each squared difference by its probabilit ...
... The Variance, and Standard Deviation of a Probability Distribution Variance and Standard Deviation • Measures the amount of spread in a distribution • The computational steps are: 1. Subtract the mean from each value, and square this difference. 2. Multiply each squared difference by its probabilit ...
