12 10 + 4+ 150 200 250 300 350 400 450 Maximum Brightness (in cd/m?) -4 + 6 7 8. Predicted (video battery life) Residuals (video battery life) Video Battery Life (in hours) 2.
12 10 + 4+ 150 200 250 300 350 400 450 Maximum Brightness (in cd/m?) -4 + 6 7 8. Predicted (video battery life) Residuals (video battery life) Video Battery Life (in hours) 2.
Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015
1st Edition
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:HOUGHTON MIFFLIN HARCOURT
Chapter1: Solving Linear Equations
Section1.5: Rewriting Equations And Formula
Problem 50E
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Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
Topic Video
Question
Tablet computers In October 2011, cnet.com listed the
battery life (in hours) and luminous intensity (i.e., screen
brightness, in cd>m2
battery life (in hours) and luminous intensity (i.e., screen
brightness, in cd>m2
) for a sample of tablet computers.
We want to know if brighter screens drain the battery
more quickly.
Dependent variable is Video battery life (in hours)
R-squared = 27.9%
s = 1.913 with 23 - 2 = 21 degrees of freedom
Variable Coefficient SE(Coeff) t-Ratio P-Value
Intercept 2.8467073 1.6628386 1.7119566 0.10163
Brightness 0.014080549 0.0049373503 2.851843 0.00955a) How many tablet computers were tested?
b) Are the conditions for inference satisfied? Explain.
c) Is there evidence of an association between maximum
brightness of the screen and battery life? Test an
appropriate hypothesis and state your conclusion.
d) Is the association strong? Explain.
e) What is the equation of the regression line?
f) Create a 90% confidence interval for the slope of the
true line.
g) Interpret your interval in this context.
We want to know if brighter screens drain the battery
more quickly.
Dependent variable is Video battery life (in hours)
R-squared = 27.9%
s = 1.913 with 23 - 2 = 21 degrees of freedom
Variable Coefficient SE(Coeff) t-Ratio P-Value
Intercept 2.8467073 1.6628386 1.7119566 0.10163
Brightness 0.014080549 0.0049373503 2.851843 0.00955a) How many tablet computers were tested?
b) Are the conditions for inference satisfied? Explain.
c) Is there evidence of an association between maximum
brightness of the screen and battery life? Test an
appropriate hypothesis and state your conclusion.
d) Is the association strong? Explain.
e) What is the equation of the regression line?
f) Create a 90% confidence interval for the slope of the
true line.
g) Interpret your interval in this context.
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