NUMBER OF FACTORSLENGTH OF STAYNUMBER OF FACTORSLENGTH OF STAYy, daysy, days23135411323714271138E62862083411016242011174158111592436.1699.1566.556.1847731154a Indiye6.10342026.1472062306.3606.78845259.33112173022485602338110260413122473644721218022081346.3836.4013019.15526273388.Source: Bayonet Point Hospital, Coronary Care Unit.a. Construct a scattergram of the data.b. Find the least squares line for the data and plot it on your scattergram.c. Define B, in the context of this problem.d. Test the hypothesis that the number of factors per patient (x) contributes no information for theprediction of the patient's length of stay (y) when a linear model is used (use a = .05). Drawthe appropriate conclusions.e. Find a 90% confidence interval for B1. Interpret your results.39722547 o54

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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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Every year, the students at a school are given a musical aptitude test that rates them from 0 (no musical aptitude) to 5 (high musical aptitude). This year's results were: "Aptitude Score" "Frequency" If 0 1 2 3 4 5 sum 3 6 4 3 2 4 22 0 0 6 The mode aptitude score: 2,5 there is no mode.) 8 8 20 51 ✓o The mean aptitude score: Σ(xf) Σ(5) Please find the median aptitude score by a TI-84: 2.5 2.32 (Round to 2 decimal place.) X x (Please separate your answers by, in bimodal situation. Enter DNE if
The table gives some information about the delays (in minutes) of 80 flights. Delay (n minutes) Frequency Cumulative frequency 10 - 19 16 16 20 - 29 26 42 30 - 39 23 40 - 49 10 75 50 - 59 5 80 The number of flights which delayed 39 minutes or less than 39 minutes is:65 flights. true false
how to import the dataset correctly to spss this data set provides information on temperature changeacross different countries
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Source Value Std Err P value Intercept 26272.327 674.907 38.927 <0.0001 BA 35451.244 580.632 61.056 <0.0001 Female -17064.762 495.537 -34.437 <0.0001 FemalexBA -10509.614 824.520 -12.746 <0.0001 Age 533.753 14.074 37.925 <0.0001 Hours -1.698 0.878 -1.934 0.061 In an attempt to evaluate the difference in the impact of a degree on income by gender a researcher filters their data down to just individuals with a High School Diploma or a Bachelors Degree and gets the results shown above. a. How much does a Bachelors Degree increase the income for a woman? b. How much is the difference in the impact of a Bachelors Degree for women compared with men? c. What would the income be for a 52 year old male with a Bachelors Degree, who works an average of 50 hours a week?
PhD (2013) Basic Statistics for Health Science Courses by RALO Mendor, PhD (2013) In table 3, the class site or class width used is 15. 80, 95, 110, 125 and 140 are called the lower class limits while 94, 109, 124, 139 and 154 are called the upper class limits. In the class boundary 79.5-94.5, 79.5 is the lower class boundary 94.5 is the upper class boundary. The class mark is obtained by getting the average of the lower and the upper class boundary which is (79.5+ 94.5)/2-87 for the score 80-94. An accurate class width or class interval can then be obtained by getting the difference between the upper and the lower boundary which is 94.5-79.5 15 for the The range (R) for a grouped data is computed by getting the difference of the highest value of the upper boundary and the lowest value of the lower boundary. For the data given above, the range (R) 154.5-79.5-75. Table 3 is a type of frequency distribution that is useful in calculating other descriptive properties of score 80.94 and so…
Prove using a formula of the geometric mean that if we add a constant (for example, d) to all data values, the geometric mean increases by a constant
The annual salaries (in dollars) of 14 randomly chosen fire fighters are listed. At x = 0.05, is there enough evidence to support the claim that the standard deviation of the annual salaries is different from $5350? Assume the population is normally distributed. Complete parts (a) through (e) below. ¹ Click the icon to view the Chi-Square Distribution Table. (a) Write the claim mathematically and identify H, and Ha O A. Ho: 5350; Ha: #5350 (Claim) OB. Ho: os 5350 (Claim); H₂: >5350 OC. Ho: 25350; H₂: <5350 (Claim) O D. Ho: <5350 (Claim); H₂: 25350 (b) Find the critical value(s). x = [ (Round to three decimal places as needed. Use a comma to separate answers as needed.) Identify the rejection region(s). Choose the correct graph below. O A. Q O B. 50,722 40,926 52,398 46,512 41,768 40,236 51,039 D 52,101 43,822 34,929 35,036 28,197 32,715 37,949 (c) Find the standardized test statistic for the ²-test. x²2²=[ (Round to three decimal places as needed.) (d) Decide whether to reject or fail…
147 153 166 173 186 182 183 186 182 166 182 163 153 145 1. find the mean 2. what is meadian 3. what is the mode
Mid-career Salary (in thousands of dollars) (y) Yearly Tuition (in thousands of dollars) (x) 21 87 21 72 33 92 19 83 17 68 19 98 13 57 31 102 14 58 26 101 11 86 15 45 x: 21, 21, 33, 19, 17, 19, 13, 31, 14, 26, 11, 15 y: 87, 72, 92, 83, 68, 98, 57, 102, 58, 101, 86, 45 1. Find the best fit line for the data. y = + 2. Graph the scatter plot of the data together with the best fit line using R. (This portion of the problem is not graded.) 3. Predict the mid-career salary of a student attending a college with an annual tuition of $33 thousand. %24 thousand

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