PPT-Standard deviations and probability of the population mean

Bayesian Inferencing Thomas Bayes Basic Probabilities The probability of something occurring is the number of ways that thing can occur divided by the total number of things that can occur Say you flip a fair coin Whats the probability of heads . The Standard Deviation as a Ruler and the Normal Model. AP Statistics. The trick in comparing very different-looking values is to use . standard deviations. as our rulers.. The standard deviation tells us how the whole collection of values varies, so it’s a natural ruler for comparing an individual to a group.. Measuring how . much . the . group as a whole deviates from . the center.. Gives you an indication of what is the spread of the data.. The common measures of variation in data are – . range. , . deviation. Measures of Variation. WAITING TIMES AT. DIFFERENT BANKS. Jefferson Valley Bank (single waiting line). 6.5. 6.6. 6.7. 6.8. 7.1. 7.3. 7.4. 7.7. 7.7. 7.7. Bank of Providence (multiple waiting lines). 4.2. Lecture 9. The Normal Curve. The Normal Curve. ‘Bell’ Shaped. Unimodal in center. Tails extend to infinity in either direction. The Ideal Normal Curve. Naturally Normal. IQ tests. Standardized tests. Continuous distributions. Sample size 24. Guess the mean and standard deviation. Dot plot sample size 49. Draw the population distribution you expect. Sample size 93. Sample size 476. Sample size 948. 1. Why understanding probability is important?. What is normal curve. How to compute and interpret z scores.. This week. 2. The chance of winning a lotter. The chance to get a head on one flip of a coin. of Hypothesis. Chapter 11. Learning Objectives. LO11-1. Test a hypothesis that two independent population . means . are equal, assuming that the . population . standard deviations . are known and equal. . Mat 271E. Yard. Doç. Dr. Tarkan Erdik. Probability Distributions. Uniform and Normal Distributions- Week 7. 1. Probability Distributions. 2. It has been observed that . certain functions . F(x). and . Sample Proportions. We ended last class with the following example:. A person has a 5% chance of winning a free ticket in a state lottery. If she plays the game 12 times, what is the probability she will win more than 1 free ticket?. Developed By: . Ethan Cooper (Lead Tutor) . John Lohman. Michael Mattocks. Aubrey Urwick. Chapter 6. : . Probability. Key Terms and Formulas: Don’t Forget Notecards. Probability (p. 165). Random Sample (p. 167). Means. Lecture PowerPoint Slides. Basic Practice of Statistics. 7. th. Edition. In Chapter 21, We . C. over …. Two-sample . problems. Comparing two population means. Two-sample . t. procedures. Using technology. 24. Event A occurs with probability 0.1. Event B occurs with probability 0.6. If A and B are independent, then. a. P(A and B) = . 0.70. b. P(A or B) = 0.64.. c. . P(A and B) = . 0.64. d. . P(A or B) = 0.70.. Sample . statistics. will be slightly off from the true values of its population’s . parameters. Sampling error:. The difference between a sample statistic and a population parameter. Probability theory. Intro to Statistics. What is Normal Distribution?. Modeled by a Bell-shaped curve.. Symmetric about the mean.. Mean (average) and the Median (middle #) are the same number. Or at least very close!!. Can look tall and skinny, short and wide or somewhere in the middle. .