4. Let $X$ equal the weight in grams ofa Low-Fat Strawberry Kudo and $YS theweight of a Low-Fat Blueberry Kudo.Assume that the distribution of $X$ andSYS are $\mathrm{N}\left(\mu_{X),\sigma^(2} \right)$ and$\mathrm{N} \left(\mu_{Y},\sigma^(2}\right)$, respectively. Let$$\begin{array}{(111111111)21.7 & 21.0 & 21.2 & 20.7 & 20.4 & 21.9& 20.2 & 21.6 & 20.6\end{array}$$be $n=9$ observations of $X$, and let$$\begin{array}{(111111111111}19.5 & 20.5 & 20.3 & 20.6 & 20.7 & 19.3& 20 & 18.3 & 18.9 & 20.5 & 19.9 & 21.0\end{array}$$be $m=12$ observations of $Y$. Test thenull hypothesis $H_{0}:\mu_{X}=\mu_{Y}$ against a two-sidedalternative hypothesis $H_{1}: \mu_{X}\neq \mu_{Y}$ at the significance levelof $\alpha=0.05$. SP.DL.384

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Answered: 4. Let $XS equal the weight in grams of…

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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Consider data on every game played by the Brooklyn Nets in 2014 (82 games) that includes the variables margin, - the Net's margin of victory (number of points the Nets scored minus the number of points their opponent scored) for game i, and • home; - a dummy variable equal to 1 when the Nets are the home team (game i was played in their home arena) and equal to 0 when they are the away team (game i was played in the opponent's arena). I use the least-squares method to estimate the following regression model margin = a + ßhome; + ei Below is the Stata output corresponding to the estimated regression line: regress margin home if team===== "Brooklyn Nets" . Source Model Residual Total margin home _cons SS 1459.95122 15252.0488 16712 df 1459.95122 1 80 190.65061 None of the above 81 206.320988 Coef. Std. Err. 8.439024 3.049595 -5.219512 2.156389 MS t Number of obs F(1, 80) Prob > F R-squared O The Nets lost more games than they won in 2014 P>|t| 2.77 0.007 -2.42 0.018 Adj R-squared = Root…
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