or The following three independent random samples are obtained from three normally distributed populations. The (dependent) numerical variable being compared is starting hourly wage, and the groups are the types of position (internship, co-op, work study). Group 1: Internship 11.5 Group 2: Co-op 14.5 Group 3: Work Study 12.75 16 12 9 12.25 16.5 13 13.5 14.25 15 12.5 12 15.75 9 15 12.5 es Click Download CSV to download csv file of data or copy/paste the data into Excel. After downloading the file, you may want to save it as an Excel Workbook. Use Excel to conduct a one-way ANOVA to determine if the group means are equal using a = 0.05. Create a side-by-side boxplot in Excel for these data. Use that and the numerical summary of sample data to answer the following questions. ere to search a. Which group has the highest average? O Group1 O Group 2 O Group 3 b. Which group has the highest variation? O Group1 O Group 2 O Group 3 c. Compute the HighestS tan dardDeviation SmallestS tan dard…

es ces Due Nov 26 by 11:59pm Points 13 Submitting an external tool Homework 11 Score: 0/13 Answered: 0/9 Question 1 Fill in the blanks of the following statements using numbers (NOT words). Two sample t tests are limited to situations in which there are only compared. The Analysis of Variance (ANOVA) is used to tests where being compared in one hypothesis test. Submit Question population means being or more Select an answer are Bi UP T M365 DELL Channel F2 F3 F4 F5 F6 F7 F8 F9 F10 14 ►11 W $ 54 % 5 6 E R T Y J 8 P

m Proctor ments sources Dak is investigating how long their phone's battery lasts (in hours) for various brightness levels (on a scale of 0-100). A part of the regression analysis done on Ti Calculator and in Excel for their data are displayed below. Ti Calculator Click this button to reveal the Ti Calculator Output. Click again to collapse it. Ti Calculator y = ax+b B0 and p 0 t = -3.02431335 p = 0.0233 df - 6 a =-0.0380555845 b=5.88809202 s = 0.436054238 20.603868129 r = -0.777089524 Resources Excel Type here to search Click this button to reveal the Excel Output. Click again to collapse it. SUMMARY OUTPUT Multiple R 0.777089524 R Square 0.603868129 Adjusted R Square 0.537846150 Standard Error 0.436054238 Observations 8 ANOVA df SS MS F Significance F Regression 1 1.73914021 Residual 6 1.14085979 1.73914021 0.190143298 9.1465 0.0233 Total 7 2.88000000 Coefficients Standard Error Intercept Brightness 5.88809202 -0.0380555845 t Stat 7.62593816 -3.02431335 P-value 0.0003 0.0233 Use…

ce Problems x + canvas.pdx.edu/courses/106252/assignments/1102408?module_item_id=4856656 m Proctor ments THIS IS THE second question of exdin where you have to Snow compere work to get run points. If you use TI calculator functions, you may write your work along with functions and values you I used and answers on a paper or type on an empty Word document or Excel file. If you use Ti calculator app on your computer or phone, you may provide screen shots of those on a word document or Excel file. Clearly provide the function along with values for the work. If you use Excel, you may use the Excel calculator or Excel as a calculator on your computer to provide complete work and the final answer on it. Please provide all the answers to the following questions on the same Excel sheet. If you use formula, you may write all your steps with numbers on a paper and submit a photo of it. Otherwise, you may type all those steps on a Word document or an Excel file. Do NOT round in the middle steps…

Suppose the model for certain data is a parabola y = Bo+B1x+B2x² with observations (1, 2.2), (2, 6.9), (3, 16.1), (4, 28.7), (5, 46.1). Describe the design matrix, the observation vector, and the parameter vector. Using these write down the system of equations to be approximated Xẞ = y, the parts of the normal equations XTX and XTy and write down the normal equations. Solve and determine the residual vector €. You may use a calculator for the computations but show the steps as described above.

. This problem will yield a standard formula given in elementary statistics for a least squares line, making use of the normal equations. (a) Given pairs of data points (x1, Y1), (x2, Y2), ..., (xn, Yn) consider approximating lines of the form y = mx+b. The error e; for the ith pair is the distance between y; and the height (y value) of the line at xi. This is ei = Yi — (mxi + b). If we consider the equations b + x;m = Yi for i n in the variables b and m we can = 1,2, = think of this as a system of equations Ax = 6 where A 1 x1 x2 = : [m] Хп Y1 Уп numbers. Here, note that the variables are m and b and the xi, Yi are given The least squares approximation for this system (which gives the intercept b and slope m of the best least squares line for the data) is the solution to the normal equations AT Ax = ATb. Determine ATA (a 2×2 matrix) and AT (a 2×1 matrix). The entries will be sums of terms involving the x; and y₁. Write these, first using Σ notation and then simplify the notation using…

= a) Recall that the formula for the projection p of vector & onto vector a is p = ±ªã. The plane through the origin in R³ given by ax+by+cz = 0 for real numbers a, b, c, is the set of all points (viewed as vectors) orthogonal to the normal n = (a, b, c) to the plane. To find the distance from a point w (xo, Yo, zo) to the plane ax+by+cz = 0 we can find the projection of w onto the normal ñ and then find the length of this projection. Do this to derive a generic formula for the distance in terms of xo, Yo, Zo, a, b, c. First find the length squared and then take a root. b) To find the distance from a point w (xo, Yo, zo) to a plane ax + by + cz = d, not necessarily not through the origin, one approach is to shift all z coordinates down by d. That is, replace (x, y, z) by (x, y, z — d). The relationship between the plane and w is unchanged so we can find the distance by finding the distance between (xo, Yo, zo - d) and the plane ax + by+cz = 0 through the origin. Do this to derive a…

Use Gram-Schmidt orthogonalization to find an orthonormal set of vectors with the same span as = 1 2 -0-08-0 a2 = 3 a3 = -2 Find also a QR factorization A = QR with the columns of Q the orthonormal set found above and R upper triangular and invertible and A with columns ā₁, ā2, ā3.

(a) Let Q be an orthonormal matrix. That is, the columns of Q have unit length and are pairwise orthogonal. Prove that the length of Qã is equal to the length of for any column vector x. Note that you can do this by showing that the lengths squared are equal. (b) Prove that if A and B are symmetric and πT Ax = x² Bã for all & then A = B. Make use of coordinate vectors ē;, which are 0 except for a 1 in position i. Explain why, for matrix A, entries can be found by arj = Aej. First show that diagonal = = entries aii bir. Then consider what (ē¿ + ē¿)ªA(ē¿ + ē¿) in terms of entries of A (and similarly for B) and make use of symmetry aij = aji and similarly for B. (c) Prove the converse: If for all x, ||Q|| ||||| then Q is orthonormal. One ap- proach is to use part (b) to show that QTQ = I. Recall that QTQ is symmetric (and trivially I is symmetric). Recall also that, written in matrix notation, vector length (squared) is given by ||7||2 = (this is the dot product written in matrix…