4: Consider the data set that is summarized in the R Output below.Sum Sq128.25Mean Sq F Value64.127 12.03181.185.329C22Residuals 34Df12Signif. codes: 0*** 0.001 0.01 0.05 0.1 1sample n meansd12 ?2.4267.12 11.822.506413 7.74 1.9854 4Pairwise comparisons using t tests with pooled SDdata: C2 and sample212 0.001 -3 1.000 0.000P value adjustment method: bonferroni3Pr (>F)0.0001 ***(a) Find a 94% Bonferonni confidence interval for 3-2-(b) Which pairs of means are significantly different, using the Bonferonni method at the 6% significance level?enter your answer in the form a,b(numbers correct to 3 decimals)(A) none of them (B) all of them (C) 1 and 2 only (D) 1 and 2, 2 and 3 only (E) 1 and 2, 1 and 3 only(F) 1 and 3, 2 and 3 only (G) 2 and 3 only (H) 1 and 3 only#4(b): Select v Which pairs?

Mean square residuals is 5.329. Degrees of freedom of residuals is 34 Number of groups k=3 Number of…

Answered: Consider the data set that is…

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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1:15 (a) Which variable is the explanatory variable? OA. One of the biggest factors in determining the value of a home is the square footage. The accompanying data represent the square footage and selling price (in thousands of dollars) for a random sample of homes for sale in a certain region. Complete parts (a) through (h) below. Click the icon to view the housing data. Square Footage Selling Price (b) Draw a scatter diagram of the data. Choose the correct scatter diagram below. Ay 4500- 000 1000 mylab.pearson.com/ + ® : 3 4500 Data Table Q Square Footage, x 2148 3231 1177 1988 3064 2735 4146 2215 2625 1629 1773 3887 Print ||| OB. r= 0.899 (Round to three decimal places as needed.) = AX 4500- 1000+++ 150 750 Q (c) Determine the linear correlation coefficient between square footage and asking price. Done Ay 750- Vo) 1 LTE2 150- O 1000 Selling Price ($000s), y D 371.1 382.2 197.6 339.9 614.9 364.7 632.7 377.7 427.5 285.9 268.9 701.4 4500 .... .... Q X D. Ay 750- 41% 150+ 1000 4500
Suppose that a customer is purchasing a car. He conducts an experiment in which he puts 10 gallons of gas in the car and drives it until it runs out of gas. He conducts this experiment 15 times on each car and records the number of miles driven Describe each data set, that is determine the shape, center, and spread. Sample mean for Car 1 Full data set - x= mi / 10 gal Car 1 (Type an integer or decimal rounded to one decimal place as needed.) 233 225 234 227 278 241 291 261 161 251 Sample mean for Car 2 169 317 279 x= mi / 10 gal 313 299 Car 2 (Type an integer or decimal rounded to one decimal place as needed.) 229 256 202 209 245 242 Median for Car 1 231 277 245 249 M= mi / 10 gal (Type an integer or decimal rounded to one decimal place as needed.) 296 299 259 280 274 Median for Car 2 M= mi / 10 gal (Type an integer or decimal rounded to one decimal place as needed.) Range for Car 1 R= mi / 10 gal (Type an integer or decimal rounded to one decimal place as needed.) Range for Car 2 R=…
COMMUNITY PHARMACY 127th St In F of Marle (212) 926-7500 Fax (212) 426-5900 www.harian.com RHOOD PHARMACY m Southern X o Mail-Ald X W W3Scho X W' Exercise X 10 # of movies Frequency 0 1 Twenty-three randomly selected students were asked the number of movies they watched the previous week. The results are as follows. 2 3 4 4 Number of Movies Watched 9 6 3 Welcom 1 NCC-1701 X + V a. Select the correct histogram of the data, where a value is counted in a class interval if it falls on the left boundary, but not if it falls on the right boundary. ☐
The amount of money earned in a day by Ms. Anne’s craft shop was recorded and displayed in the stem-and-leaf diagram shown below in Exhibit 1. Exhibit 1 Stem-and-leaf of Data: Amount of Money earned in a day in dollars Leaf Unit = 10 N = * 2 2595 323413 3 55779999 (**) 4 0001233 14 4 5569 *** 5 033445 5 7788 161 What is the median of the distribution? Use the stem-and-leaf diagram above to draw a box-and-whisker diagram. Comment on the skewness of the distribution.

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