Calculate the sample mean, standard deviation, critical value, and 90% confidence interval (lower and upper endpoint. A certain test preparation course is designed to help students improve their scores on the LSAT exam. A mock exam is given at the beginning andend of the course to determine the effectiveness of the course. The following measurements are the net change in 5 students' scores on the examafter completing the course:2, 14, 1, 2, -6Using these data, construct a 90 % confidence interval for the average net change in a student's score after completing the course. Assume thepopulation is approximately normal.Copy Data

Name: Calculate the sample mean, standard deviation, critical value, and 90%
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Description: Calculate the sample mean, standard deviation, critical value, and 90% confidence interval (lower and upper endpoint. A certain test preparation course is designed to help students improve their scores on the LSAT exam. A mock exam is given at the be

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Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

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ISBN:9780079039897

Author:Carter

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Calculate the sample mean, standard deviation, critical value, and 90% confidence interval (lower and upper endpoint.

A certain test preparation course is designed to help students improve their scores on the LSAT exam. A mock exam is given at the beginning and
end of the course to determine the effectiveness of the course. The following measurements are the net change in 5 students' scores on the exam
after completing the course:
2, 14, 1, 2, -6
Using these data, construct a 90 % confidence interval for the average net change in a student's score after completing the course. Assume the
population is approximately normal.
Copy Data

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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