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Item specifics Condition: Very Good: A book that has been read and does not look new, but is in excellent condition. No obvious damage to the book cover, with the dust jacket if applicable included for hard covers. No missing or damaged pages, no creases or tears, no underlining or highlighting of text, and no writing in the margins.
Some identifying marks on the inside cover, but this is minimal.
Very little wear and tear. Know that histograms are normally used to 5 illustrate continuous data page 62 of the textbook. Understand that the vertical axis of a histogram is frequency density, NOT frequency page 64 of the textbook.
Know that histograms can be used to represented grouped data with unequal class widths page 65 of the textbook. Know how to calculate frequency densities pages 63 - 64 of the textbook. Know how to construct a histogram; pages 62 — 69 of the textbook. Understand that, for a histogram, the areas of the bars are proportional to the frequencies Pages 62 — 63 of the textbook. Know and understand the circumstances in which it is acceptable to use histograms to illustrate discrete data pages 66 - 68 of the textbook.
Mei Ling Chin
Be aware of the problems with class boundaries when using histograms to illustrate discrete data page 67 of the textbook. Know how to calculate the upper quartile, lower quartile and the interquartile range via calculation and using a cumulative frequency curve; pages 71 — Know how to construct a box-and-whisker diagram boxplot ; Learners can use Excel or Autograph Teacher can demonstrate further use of each.
Know how to recognise outliers; pages 73 — 74 of the textbook. Know how to construct a cumulative frequency table from a grouped frequency table; pages 74 — 75 of the textbook. Know how to construct and interpret a cumulative frequency curve; pages 76 — 77 of the textbook. Probability 1: Introduction Understand what is meant by the complement of an event and how to calculate its probability. Understand what is meant by mutually exclusive events. Be able to use the addition law and multiplication law to calculate probabilities.
MEI S1 (Statistics 1) Revision Sheet
Probability 3: Conditional probability Understand the concept of conditional probability; pages — of the textbook. Understand how to use Venn diagrams when solving conditional probability questions; page of the textbook. Understand how to use tree diagrams in solving conditional probability questions; page of the textbook. Know the notation and conditions for a DRV; Page in the textbook.
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Be able to construct a vertical line chart showing the probabilities of the possible outcomes of a DRV; Pages — in the textbook. Further Probability 1: Factorials, permutations and combinations Know what a factorial is and how to calculate it. Pages — in the textbook. Be able to cancel efficiently when dividing factorials. Examples on page of the textbook. Know how to identify and calculate the number of permutations; 13 Page in the textbook. Know how to identify and calculate the number of combinations Pages — in the textbook.
MEI Statistics 1 3rd Edition by Roger Porkess - ISBN: (Hodder Education)
Be able to calculate probabilities in less simple cases. Know what a probability distribution is, and be able to calculate it; Pages — in the textbook. Understand that the binomial distribution is an example of a probability distribution; Pages — in the textbook. Be familiar with the notation B n, p to denote a binomial distribution with n trials and probability of success p; Page in the textbook.
The Binomial Distribution 2: Using the binomial distribution Know how to find the expectation of the binomial Active learning resources Binomial puzzle Binomial puzzle solutions distribution Page in the textbook.
Be able to use the binomial distribution to work out probabilities in a given situation; Pages — in the textbook. Understand the process of hypothesis testing and the associated Study Plan Notes and Examples Crucial Points Additional Exercise Additional Exercise Solutions Multiple choice section test Questions Hypothesis testing 1 Section test solutions 16 - 18 vocabulary page - Be able to identify the null hypothesis and alternative hypothesis H0 and H1 when setting up a hypothesis test on a binomial probability model page — Be able to conduct hypothesis tests at various significance levels page Be able to draw a correct conclusion from the results of a hypothesis test on a binomial probability model page — Hypothesis testing using the Binomial Distribution 2: More about hypothesis testing Be able to identify the critical region and acceptance region for Interactive Resources Hypothesis testing Instructions for using the "Hypothesis Tester" a hypothesis test pages - Understand when to apply one-tailed tests and two-tailed tests pages — Know how to carry out a two-tailed test pages — Read more.
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