Let to be a specific value of t. Use the table of critical values of t below to find to-values such that following statements are true. a. P (tzto) = .025, where df = 11 b. P (tzto) = .01, where df = 18 c. P (tsto) = .005, where df = 6 d. P (tsto) = = .05, where df = 13 Click the icon to view the table of critical values of t. a. The value of to is 2.201. b. The value of to is 2.552. c. The value of to is

Match these values of r with the accompanying scatterplots: 1, -0.355, -0.718, 0.355, and 0.996. Scatterplot 1 Scatterplot 2 8- 6- 6- FUUS 4- 2-* 0- 0 0.2 0.4 0.6 0.8 1 X 4- 2- 0- 0 0.2 0.4 0.6 0.8 X > 15- 14- 13- 12- 11- Scatterplot 3 10+ . 0 0.2 0.4 0.6 0.8 X O A. Scatterplot 1, r=-0.355; Scatterplot 2, r = 1, Scatterplot 3, r = 0.355, Scatterplot 4, r = -0.718, Scatterplot 5, r = 0.996 B. Scatterplot 1, r = 0.355; Scatterplot 2, r = 0.996, Scatterplot 3, r = -0.355, Scatterplot 4, r = -0.718, Scatterplot 5, r = 1 O C. Scatterplot 1, r=-0.355; Scatterplot 2, r = 0.996, Scatterplot 3, r = 0.355, Scatterplot 4, r = -0.718, Scatterplot 5, r = 1 O D. Scatterplot 1, r= 0.355; Scatterplot 2, r = 1, Scatterplot 3, r = -0.355, Scatterplot 4, r = -0.718, Scatterplot 5, r = 0.996 8- 6- 4- 2- Scatterplot 4 0- 0 0.2 0.4 0.6 0.8 X 8- 6- 4- 2- 04 0 Scatterplot 5 . • 0.2 0.4 0.6 0.8 X ..

2.54 a-d please

Q2. Determine the value of x that corresponds to f(x) = 0.93 for the following tabulated data. 4 2 3 0.8 0.9 0.941176 X 0 f(x) 0 1 0.5 5 0.961538

P(1.15 < Z < 2.77) =

Complete the following worksheet and then use it to calculate the coefficient of determination. (ŷ; - y)² (Yi - y)² 2.208 196.000 565.203 2,116.000 432.765 1,156.000 79.477 256.000 797.046 2,916.000 178.837 196.000 973.690 676.000 1,856.834 576.000 2,121.800 1,296.000 35.331 256.000 i 1 2 3 4 5 6 7 8 9 Ti Yi y 15 160 175.486 13.5 220 197.774 16.5 140 153.197 14.5 190 182.915 17 120 145.768 16 160 160.627 13 200 205.204 18 150 130.909 12 210 220.063 10 15.5 190 168.056 Total The coefficient of determination (²) is According to the regression model, which of the following is the best estimate together with the 95 percent prediction interval of paint sales (in thousands of gallons) in a sales region where the selling price is $12.50? O 212.620 + 2(3.190) O 409.370 + 2(3.190) O212.620 2(18.017) O 409.370 = 2(18.017) What is the price elasticity of demand at a selling price of $12.50? O -0.56 -0.06 O -0.87

The following are the cystatin C levels (mg/L) for the patients described in Exercise 15 (A-17).Cystatin C is a cationic basic protein that was investigated for its relationship to GFR levels. In addition, creatinine levels are also given. (Note: Some subjects were measured more thanonce.) Cystatin C (mg/L) Creatinine (mmol/L) 1.78 4.69 0.35 0.14 2.16 3.78 0.30 0.11 1.82 2.24 0.20 0.09 1.86 4.93 0.17 0.12 1.75 2.71 0.15 0.07 1.83 1.76 0.13 0.12 2.49 2.62 0.14 0.11 1.69 2.61 0.12 0.07 1.85 3.65 0.24 0.10 1.76 2.36 0.16 0.13 1.25 3.25 0.17 0.09 1.50 2.01 0.11 0.12 2.06 2.51 0.12 0.06 2.34Source: D. M. Z. Krieser, M.D. Used with permission.(a) For each variable, compute the mean, median, variance, standard deviation, and coefficient ofvariation.(b) For each variable, construct a stem-and-leaf display and a box-and-whisker plot.(c) Which set of measurements is more variable, cystatin C or creatinine? On what do you baseyour answer?       that question from…

I use excel. I do not know what function in the data analysis tookpak to use to find tsat, df, P, etc. I also don't know how to word Ho and Ha. Thanks! The data below are a random sample of weight gains (pounds) of pigs during a period of 20 days. The farmer was feeding his pigs Purina Pig Chow. The package says that the company guarantees. a minimum pig weight gain of 2.25 lbs/day. Can the farmer show that his pigs have not statistically met that weight gain minimum?   Pig number Wt. Gain 1 33 2 53 3 34 4 29 5 39 6 57 7 12 8 24 9 39 10 36

Please solve A, B, and C

It is thought that basketball teams that make too many fouls in a game tend to lose the game even ir they otherwise play well. Let x be the number of fouls more than (i.e., over and above) the opposing team. Let y be the percentage of times the team with the larger number of fouls wins the game. X 0 2 5 6 y 50 43 33 26 A USE SALT Complete parts (a) through (e), given Ex - 13, Ey - 152, Er - 65, Ey? - 6114, Exy - 407, and r-0.9921. (a) Draw a scatter diagram displaying the data 50 50 45 45 40 40 35 30 30 0 25 25 30 35 40 45 50 4 30 35 40 43 50 4 x(fouls) x (fouls) xifouls) x (fouls) (b) Verify the given sums Ex, Zy, Ex, Ey, Exy, and the value of the sample correlation coefficient r. (Round your value for r to four decimal places.) Ex- Exy= (c) Find x, and y. Then find the equation of the least-squares line -a+ bx. (Round your answers to four decimal places.) (d) Graph the least-squares line. Be sure to plot the point (x, y) as a point on the line. 50 50 5 5 45 45 40 40 35 30 30 25 25k…