why do you square root 10 when the sample is below 30? Why wouldn't you use the formula.x = x ± zs? thanks Ten light bulbs are tested to failure and the following data are obtained (in hoursof playing time):1020, 1350, 1559, 1100, 1320, 1421, 1240, 1410, 1543,1455Estimate the mean and the 95 % confidence interval.

The observed data for testing the lifetime of light bulbs (in hours) is as follows;1020, 1350, 1559,…

Answered: Estimate the mean and the 95 %…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Similar questions

Match the coefficient of determination to the scatter diagram. The scales on the x-axis and y-axis are the same for each scatter diagram. (a) R? = 0.12, (b) R2 = 0.98, (c) R? = 0.58 (a) Scatter diagram Eplantory (b) Scatter diagram (e) Scatter diagram Esplanatory II Eplanatory
n=12, CL=90% x2 an-1
What is y equal to when x = -3? y = 2x - 1 %3D
r= -0. 8839 (e) Find the value of the coefficient of determination r2. What percentage of the variation in y can be explained by the corresponding variation in x and the least-squares line? What percentage is unexplained? r2 = explained % unexplained
Please help, don't understand!
In regression analysis, the coefficient of determination R2 measures the amount of variation in y that is:
You are conducting a study to see if the proportion of men over 50 who regularly have their prostate examined is significantly different from 77%. With HA : p ≠ 77% you obtain a test statistic of z=−2.408 Find the p-value accurate to 4 decimal places.p-value =
The R2 from a regression of consumption on income is 0.75. Explain how the R2 is calculated and interpret this value.
If someone uses the equation (y= -20.5893(x) + 24.3929) to predict the percentage of weeds killed when 2.6 teaspoons of weed killer are used, which would the following would you expect? •the prediction will be too high •the prediction will be too low •a prediction cannot be made Explain your reasoning.
The multiple regression describes how the mean value of y is related to the xi independent variables. The parameters ?i are used to describe how the mean value of y changes for a one-unit increase in xi when the other variables are held constant. The given estimated regression equation follows where x1 is the high-school grade point average, x2 is the SAT mathematics score, and y is the final college grade point average. ŷ = −1.38 + 0.0232x1 + 0.00482x2 If the variable x2 is held constant, then only changes in x1 will impact the predicted values of ŷ. Since the coefficient of x1 is positive, for each one-unit increase of x1, the values of ŷ will increase by the value of ?1, where ?1 = . In context, for each one point increase of the high-school grade point average, the final college grade point average will increase by this amount when the SAT mathematics score does not change. If the variable x1 is held constant, then only changes in x2 will impact the predicted values of ŷ. Since the…
Sean also took the SAT (μ=1010,σ=200) and had a z score of +0.25. What was his SAT raw score? What was his percentile?
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