Also find : Test Statistics, z Find the P value at alpha =0.05 Separate random samples were collected by a polling agency to investigate the difference in employee satisfactionat non-profit organizations and at for-profit companies. Data collected from 433 employees at non-profit organizationsrevealed that 391 of them were "highly satisfied." From the for-profit companies, 426 out of 507 employees reported the samelevel of satisfaction. Researchers want to test if the proportions of satisfied employees are the same at for-profit companiesas at non-profit companies. Complete parts a through c below.a) What is the difference in the proportions of the two types of companies? Assume p₁ is the proportion of satisfied non-profitemployees and p2 is the proportion of satisfied for-profit employees.P2The difference in the sample proportions, p₁ - P2, is(Round to three decimal places as needed.)

Answered: Separate random samples were collected…

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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n list stion 1 estion 2 Question 3 Question 4 Question 5 Statcrunch A T 63°F Raining now Z W S alt x # K 3 Use the following cell phone airport data speeds (Mbps) from a particular network. Find P70 0.2 0.7 2.1 3.9 8.8 10 2 R % 0.2 0.9 2.4 с CV 3.9 9.1 P70 = x Mbps (Type an integer or a decimal. Do not round.) 5 24 G 0.3 B 0.9 2.4 4.3 9.6 Y H 70 0.3 0.9 2.6 4.5 11.6 N 00 8 M 29 0.4 0.9 2.8 4.9 12.5 hp K W-11 L alt 0.4 1.1 2.8 25 5.1 12.7 ctrl 0.4 1.3 2.9 5.2 13.7 prt sc 3 pause 0.5 1.5 2.9 7.1 14.3 delete backspace ^; enter home T shift num lock 3.3 7.3 14.5 7 home 0.5 1.7 ↑ A end 1 end Next 3:15 PM 9/24/2022 → 00 pg up 5 24 ins 0.60 1.7 30.1 3.6 8.4 21 pg dn 9 pg up 3 pg dn del
Use your Ti-84 and find the summary statistics for the data below. Match your calculator screen with the correct output. 10 10 10 11 23 None of these NORMAL FLOAT AUTO REAL RADIAN MP 1-Var Stats x=17.2 Σχ-86 Ex2=1558 Sx=4.438468204 ox=3.969886648 n=5 minx=10 LQ1=13.5 NORMAL FLOAT AUTO REAL RADIAN MP 1-Var Stats x=15 Σχ=75 Ex2=1167 Sx=3.240370349 ox=2.898275349 n=5 minx=10 LQ1=12.5 NORMAL FLOAT AUTO REAL RADIAN MP 1-Var Stats x=15.2 Ex=76 Ex2=1224 Sx=4.147288271 ox=3.709447398 n=5 minx=10 LQ1=11 NORMAL FLOAT AUTO REAL RADIAN MP 1-Var Stats x=12.8 Σχ-64 Ex2=950 Sx=5.718391382 ox=5.114684741 n=5 minx=10 LQ1=10
Cholesterol levels (negative implies that you are below average) Butter consumption (ounces/week) -1.2 3.8 1.3 4 3 .5 3.2 1.4 4.2 .1 3.12 3.1 12 12 -1.9 6 .3 3.1 2 6.8 2 7 2.4 7.5 -.5 3.25 2.2 7 3 12 -2 7 -1 4.5 -3 12 1) Graph the scatterplot for the data. 2) Is this an appropriate situation to use correlation and regression? Explain.
Please answer these subunits thank you!
00000 ODOB X log cos sin 7) Given the following data, answer the questions below. X₁ 2 6 9 13 20 Yi 7 Brand Bose Skullcandy 18 9 26 23 The estimated regression equation for these data is ŷ = 7.6-0.9x d. Compute SSE, SST and SSR. e. Compute the coefficient of determination (r²). Comment on the goodness of fit. f. Compute the sample correlation coefficient. OR 8) The following data show the brand, price ($), and the overall score for six stereo headphones that were tested by Consumer Reports. The overall score is based on sound quality and effectiveness of ambient noise reduction. Scores range from 0 (lowest) to 100 (highest). The estimated regression equation for these data is ŷ = 23.194 +0.318x where x = price ($) and overall score. Price ($) 180 150 ******** Score 76 71
х1 x2 x3 13.92 3.5 94 13.85 2.12 98 13.59 2.2 48 13.32 3.09 90 14.89 4.31 110 12.9 3.21 104 14.2 3.34 114 13.78 3.01 87 13.38 2.49 102 14.38 2.69 105 14.35 2.26 101 14.78 3.34 60 13.95 2.3 144 14.34 2.95 73 14.64 2.93 89 13.92 2.96 124 13.23 3.42 107 14.58 3.14 87 13.42 3.15 85 13.51 3.86 146 14.15 3.15 163 13.9 3.08 165 12.34 2.09 143 14.22 2.68 58 13.39 2.1 73 14.22 1.89 115 13.44 2.03 89 13.4 2.19 101
Answer the whole page for number six please.
Need help with question 2
Remaining Time: 1 hour, 28 minutes, 34 seconds. Question Completion Status: 20 30 50 90 100 10 120 130 140 150 6 170 180 190 20 21 A Click Submit to complete this assessment. Question 21 Save and Submit Question 21 of 21 5 points Save Answer Provide an appropriate response. The data below are the final exam scores of 10 randomly selected chemistry students and the number of hours they slept the night before the exam. What is the best predicted value for y given x=3? Hours, x 3 Scores, y 65 5 2 8 2 4 4 5 6 3 80 60 88 66 78 85 90 90 71 O72 O 70 O 71 O 69 جا A Click Submit to complete this assessment. 61°F Sunny RYZEN AND RADEON GRAPHICS 30 ATOMY ANSWE Esc ion AN LEMB tab AK F1 F2 F3 2 # 3 W E % Q Search 8 R Y Question 21 of 21 Save and Submit G H K C Par Hel
Consider the data on climate change below: Variable Intercept CO2 Coefficient SE(Coeff) 0.1584 0.0004 T-ratio -20.1 22.1 P-value |-3.17933 <0.0001 <0.0001 0.00992 s=0.0885 with 58-2=56 degree of freedom. R squared = 89.7%. The response variable is temperature. %3D Then CO2 level for this data is 352.6ppm. a) Find a 90% confidence interval for the mean global temperature anomaly if the CO2 level reaches 450ppm. b) Fina a 90% prediction interval for the mean global temperature anomaly if the CO2 level reaches 450ppm. c) The goal of the Paris climate agreement is to a temperature anomaly of about 1.3degC in our data. If CO2 level do reach 450ppm, would this be a plausible value?
1 - 0.90 = 0.1= 0.1 x 100 = .10 which makes a = .10? is the the correct (one of the correct equations) to find the alpha of a statistic?
Send data to Excel Observed frequency fo Expected frequency ƒE 2 (fo-fe) ƒE Winter Spring Summer 35 1 ☐ 23 37.50 5.607 44 37.50 Fall 48 П 1.127 1 Total 150 X

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