Consider the following data:X-4P(X= x) 0.3-32 -1 00.1 0.2 0.2 0.2Step 1 of 5: Find the expected value E(X). Round your answer to one decimal place.

We have given the following tablex-4-3-2-10P(X=x)0.30.10.20.20.2

Answered: Consider the following data: X P(X= x)…

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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Find the expected value E(X) of the following data. Round your answer to one decimal place. x 5 6 7 8 9 P(X = x) 0.2 0.2 0.1 0.2 0.3
Annual high temperatures in a certain location have been tracked for several years. Let XX represent the year and YY the high temperature. Based on the data shown below, calculate the correlation coefficient (to three decimal places) between XX and YY. Use your calculator! x y 3 16.82 4 15.96 5 16.9 6 15.14 7 17.18 8 15.12 9 17.16 10 14.7 r=
Annual high temperatures in a certain location have been tracked for several years. Let XX represent the year and YY the high temperature. Based on the data shown below, calculate the correlation coefficient (to three decimal places) between XX and YY. Use your calculator! x y 1 10.62 2 13.85 3 12.68 4 10.31 5 12.44 6 10.07 7 11.1 r=r=
Annual high temperatures in a certain location have been tracked for several years. Let XX represent the year and YY the high temperature. Based on the data shown below, calculate the correlation coefficient (to three decimal places) between XX and YY. Use your calculator! x y 2 16.7 3 13.74 4 14.78 5 14.32 6 14.66 7 13.4 r=
The domestic airfare for business travel for the current year and the previous year was reported. Below is a sample of 12 flights with their domestic airfares shown for both years. t-value=? (up to 3 decimal places) df=?
A score S is used to predict whether a disease is present. If the score is greater than a threshold value, the corresponding person is classified as ill, otherwise as healthy. Here, the scores S; for 9 persons are given. Furthermore, it is known whether the persons are actually ill (Y, = 1) or not (Yi = 0). The data look as follows: S; | Y; 0.3 0 1.2 1 0.7 0.8 1 0.1 0.4 1 1.1 0 0.2 0 1.4 1 (a) Draw by hand the ROC curve for the given data. Explain your procedure and the calcu- lation methods. (b) Calculate the area under the curve (AUC) by hand. Does this value indicate a good or bad classification? (c) Calculate the partial area under the curve (PAUC) if the specificity is to be at least 0.65. How do you judge this value?
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
Time 1 Time 2 Time 3 Time 4 Time 5 Time 6 (s) (s) 112 (s) 162 (s) 218 (s) 273 (s) 333 Student 1 55 Student 2 64 128 192 260 331 393 Using the experimental data, calculate the average time per lap (in s) for student 1. Round your answer to 1 decimal place. Using the experimental data, calculate the uncertainty (ie. the standard error, in s) on the average time per lap for student 1. Round your answer to 2 decimal places. From the experimental data, it is possible to find a student's average speed as he runs around the track. Calculate the average speed (in m/s) for student 1 as he runs the 6 laps. Round your answer to 2 decimal places.
y: 30 -10 50 10 1 25 -15-60 15 8 35 20-5 7. 10 9. -40 -5 X: 9. 3 4 6. 0.05. Test for significant positive (linear) correlation at a =

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Consider the following data: X P(X= x) -4 -3 2 -1 0 0.3 0.1 0.2 0.2 0.2 Step 1 of 5: Find the expected value E(X). Round your answer to one decimal place.