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Modern Elementary Statistics: Pearson New International Edition notes

John E. Freund, Benjamin M. Perles - ISBN: 9781292053028

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View all 7 notes for Modern Elementary Statistics: Pearson New International Edition, written by John E. Freund, Benjamin M. Perles. All Modern Elementary Statistics: Pearson New International Edition notes, flashcards, summaries and study guides are written by your fellow students or tutors. Get yourself a Modern Elementary Statistics: Pearson New International Edition summary or other study material that matches your study style perfectly, and studying will be a breeze.

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STAT 101 is an introductory course in statistics intended for students in a wide variety of areas of study. Topics discussed include displaying and describing data, the normal curve, regression, probability, statistical inference, confidence intervals, and hypothesis tests with applications in the real world.

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Introduction to Statistics
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Intro to stats is simple, even the most inept can do it. College algebra a little more complicated, but with a little extra tutoring, you could still easily get by with a C. You need HS math knowledge, nothing more. But a lot will depend on the teacher.

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STAT 101 is an introductory course in statistics intended for students in a wide variety of areas of study. Topics discussed include displaying and describing data, the normal curve, regression, probability, statistical inference, confidence intervals, and hypothesis tests with applications in the real world.

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Summary statistics summarize and provide information about your sample data. It tells you something about the values in your data set. This includes where the average lies and whether your data is skewed. Summary statistics fall into three main categories: Measures of location (also called central tendency).

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STAT 101 is an introductory course in statistics intended for students in a wide variety of areas of study. Topics discussed include displaying and describing data, the normal curve, regression, probability, statistical inference, confidence intervals, and hypothesis tests with applications in the real world.

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Conditional probability and independence
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A conditional probability is the probability that an event has occurred, taking into account additional information about the result of the experiment. ... Two events A and B are independent if the probability P(A∩B) of their intersection A ∩ B is equal to the product P(A)·P(B) of their individual probabilities.

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Measrures of location
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Measures of location. Measures of location summarize a list of numbers by a "typical" value. The three most common measures of location are the mean, the median, and the mode. The mean is the sum of the values, divided by the number of values

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Newest Modern Elementary Statistics: Pearson New International Edition summaries

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STAT 101 is an introductory course in statistics intended for students in a wide variety of areas of study. Topics discussed include displaying and describing data, the normal curve, regression, probability, statistical inference, confidence intervals, and hypothesis tests with applications in the real world.

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Introduction to Statistics
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Intro to stats is simple, even the most inept can do it. College algebra a little more complicated, but with a little extra tutoring, you could still easily get by with a C. You need HS math knowledge, nothing more. But a lot will depend on the teacher.

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STAT 101 is an introductory course in statistics intended for students in a wide variety of areas of study. Topics discussed include displaying and describing data, the normal curve, regression, probability, statistical inference, confidence intervals, and hypothesis tests with applications in the real world.

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Summurising Data
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Summary statistics summarize and provide information about your sample data. It tells you something about the values in your data set. This includes where the average lies and whether your data is skewed. Summary statistics fall into three main categories: Measures of location (also called central tendency).

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TUT 1
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STAT 101 is an introductory course in statistics intended for students in a wide variety of areas of study. Topics discussed include displaying and describing data, the normal curve, regression, probability, statistical inference, confidence intervals, and hypothesis tests with applications in the real world.

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Conditional probability and independence
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A conditional probability is the probability that an event has occurred, taking into account additional information about the result of the experiment. ... Two events A and B are independent if the probability P(A∩B) of their intersection A ∩ B is equal to the product P(A)·P(B) of their individual probabilities.

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Measrures of location
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Measures of location. Measures of location summarize a list of numbers by a "typical" value. The three most common measures of location are the mean, the median, and the mode. The mean is the sum of the values, divided by the number of values

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