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ANS TERM Correlation coefficient Population The Binomial Theorem Pascal's Triangle The Fundamental Counting Principle The Principle of Inclusion and Exclusion Accidental relationship Sampling bias Experiment probabilit Continuity correction A fair game Probability of independent events DEFINITION A. A correlation exists according to the data, but there is no causal relationship evident between the variables. B. An array of numbers created by a French mathematician. C. Determined by dividing the number of times that the event actually occurs in an experiment by the number of trials. D. The number of standard deviations from a piece of data to the mean. E. Refers to all individuals who belong to a group being studied. F. The expected outcome is 0, so neither the player nor dealer are favoured. G. A quantitative measure of the strength of a linear correlation. H. An adjustment made to treat the values of a discrete variable as continuous intervals in order to estimate a discrete distribution with a normal approximation. I. P(An B) = P(A) × P(B) n-1,1 n 1, n-1 J. (a + b)² = (") a¹b⁰ + (1) a¹¯¹b²¹ +...+ (₂²₁) a²b²¯¹ + K. The number of unsuccessful trials before the first successful trial. L. For sets A and B, the total number of elements in either A or B is the number in A plus the number in B minus the number in both A and R

ANS TERM Correlation coefficient Population The Binomial Theorem Pascal's Triangle The Fundamental Counting Principle The Principle of Inclusion and Exclusion Accidental relationship Sampling bias Experiment probabilit Continuity correction A fair game Probability of independent events DEFINITION A. A correlation exists according to the data, but there is no causal relationship evident between the variables. B. An array of numbers created by a French mathematician. C. Determined by dividing the number of times that the event actually occurs in an experiment by the number of trials. D. The number of standard deviations from a piece of data to the mean. E. Refers to all individuals who belong to a group being studied. F. The expected outcome is 0, so neither the player nor dealer are favoured. G. A quantitative measure of the strength of a linear correlation. H. An adjustment made to treat the values of a discrete variable as continuous intervals in order to estimate a discrete distribution with a normal approximation. I. P(An B) = P(A) × P(B) n-1,1 n 1, n-1 J. (a + b)² = (") a¹b⁰ + (1) a¹¯¹b²¹ +...+ (₂²₁) a²b²¯¹ + K. The number of unsuccessful trials before the first successful trial. L. For sets A and B, the total number of elements in either A or B is the number in A plus the number in B minus the number in both A and R

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.5: Comparing Sets Of Data
Problem 29PFA
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ANS TERM Correlation coefficient Population The Binomial Theorem Pascal's Triangle The Fundamental Counting Principle The Principle of Inclusion and Exclusion Accidental relationship Sampling bias Experimental probability Continuity correction A fair game Probability of independent events Waiting time Z-score DEFINITION A. A correlation exists according to the data, but there is no causal relationship evident between the variables. B. An array of numbers created by a French mathematician. C. Determined by dividing the number of times that the event actually occurs in an experiment by the number of trials. D. The number of standard deviations from a piece of data to the mean. E. Refers to all individuals who belong to a group being studied. F. The expected outcome is 0, so neither the player nor dealer are favoured. G. A quantitative measure of the strength of a linear correlation. H. An adjustment made to treat the values of a discrete variable as continuous intervals in order to estimate a discrete distribution with a normal approximation. I. P(An B) = = P(A) × P(B) n-1 1 1, n-1 J. (a + b)² = (") a²b⁰ + (1¹) a²¯¹b²¹ α b +...+ (₂²1) a²¹b"- ασ K. The number of unsuccessful trials before the first successful trial. L. For sets A and B, the total number of elements in either A or B is the number in A plus the number in B minus the number in both A and B. M. Occurs when the sampling frame does not reflect the characteristics of the population. N. If there are m different ways to perform one action and n different ways to perform a second action, then both actions can be performed, in this specific order, in (m xn) different ways. +
Transcribed Image Text:ANS TERM Correlation coefficient Population The Binomial Theorem Pascal's Triangle The Fundamental Counting Principle The Principle of Inclusion and Exclusion Accidental relationship Sampling bias Experimental probability Continuity correction A fair game Probability of independent events Waiting time Z-score DEFINITION A. A correlation exists according to the data, but there is no causal relationship evident between the variables. B. An array of numbers created by a French mathematician. C. Determined by dividing the number of times that the event actually occurs in an experiment by the number of trials. D. The number of standard deviations from a piece of data to the mean. E. Refers to all individuals who belong to a group being studied. F. The expected outcome is 0, so neither the player nor dealer are favoured. G. A quantitative measure of the strength of a linear correlation. H. An adjustment made to treat the values of a discrete variable as continuous intervals in order to estimate a discrete distribution with a normal approximation. I. P(An B) = = P(A) × P(B) n-1 1 1, n-1 J. (a + b)² = (") a²b⁰ + (1¹) a²¯¹b²¹ α b +...+ (₂²1) a²¹b"- ασ K. The number of unsuccessful trials before the first successful trial. L. For sets A and B, the total number of elements in either A or B is the number in A plus the number in B minus the number in both A and B. M. Occurs when the sampling frame does not reflect the characteristics of the population. N. If there are m different ways to perform one action and n different ways to perform a second action, then both actions can be performed, in this specific order, in (m xn) different ways. +
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