42. Which of the following statements is(are) TRUE?1. Leaf elongation is an endogenous variable.Light, air temperature and soil temperature are exogenous variables.A. I onlyB. Il onlyC. Both I and II43. Which of the following statements is(are) TRUE?1. The factors of leaf elongation are light and soil temperature.II. Light was found to have no effect on air temperature.C. Both I and IIA. I only44. Which of the following statements is(are) TRUE?1. Light and soil temperature have direct effects on leaf elongation.II. Only air temperature has an indirect effect on leaf elongation.A. I onlyB. Il onlyB. II onlyC. Both I and IID. Neither I nor IID. Neither I nor IID. Neither I nor II For Numbers 42 to 44: A study was conducted to determine the effects of light, air temperature, and soiltemperature on the leaf elongation of Notodanthonia setifolia. It was also noted that light may affect bothair and soil temperature, while air temperature may affect soil temperature. A path analysis was conducted,and the output path diagram is given below.LIGHTAIRTEMPERATURE-0.2870916LEAFELONGATIONONZOSOILTEMPERATUREich of the following statements is(are) TRUE?Leaf elongation is an endogenous variable.Light, air temperature and soil temperature are exogenous variables.

Given information, A study was conducted to determine the effects of lights, air temperature and…

Answered: 42. Which of the following statements…

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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1-5. A study is conducted to determine the relationship between a driver’s age and the number of accidents a person has over a one-year period. The data are shown below. At α = 0.05, using Pearson correlation, is there a significant relationship between a driver’s age and the number of accidents a person? 1. What is the value of r? a) -0.172 b) -0.892 c) 0.172 d) 0.892 2.The regression equation is defined by y' = a + bx. What is the value for a? a) 4.02 b) 3.36 c) 3.07 d) 2.86 3. The regression equation is defined by y' = a + bx. What is the value for b? a)0.34 b) 0.29 c) -0.03 d) -0.34 4. If we do t test for the correlation coefficient. What will be the test value? a)1.36 b) 1.28 c) -0.43 d) -0.56 5. What is the critical value to be used in the given problem? a) ±1.943 b) ±2.306 c) ±2.365 d) ±2.447
1. A researcher who works for a national retail chain is interested in changes in employee satisfaction during the holiday season. The table below contains employee satisfaction scores taken at two time points (August 1st and December 1st) from a sample of 12 employees. Higher scores indicate more satisfaction. Conduct a hypothesis test to determine if there is an increase or decrease in employee satisfaction from Time 1 to Time 2. Use alpha .05. Employee Number Time 1 Satisfaction Time 2 Satisfaction 10012 8.5 6.5 10057 6.8 2 10089 6.5 4 10126 4.2 5.7 10023 7 4 10045 6 3 10094 7 6.5 10087 3 3 10145 4.5 3.5 10023 9 8.5 10062 8.5 4 10078 4 2.5 State the null alternative hypothesis ? Conduct the hypothesis test (run the analysis) ?
32
4.18 18. From the following data, prepare a 2 x 2 table and, using Yule's coefficient, discuss whether there is any association between literacy and unemployment: Illiterate Unemployed Literate Employed Illiterate Employed 220 persons 20 persons 180 persons Tatal number of persons 500
ol 106. Use the two scenarios presented in Figure 7.12 to answer the following question about the two sources of variability in ANOVA. 3.5 3.0 2.5 2.0 1.5 (i) HA: P₁ P2 ‡ P3 (iii) HA not all proportions are equal to this po 1.0 Figure 7.12: Within vs Between Variability in ANOVA onnisth Scenario A L (d) Recall that, O 2 H 3 2.05 2.10 2.15 2.20 2.25 2.30 2.35 (ii) Ho: M₁ M₂ = μ3 sans are (iv) HA: not all means are equal 720 qeaoluet alt sot mol 4 mobor 2924 (6) 2 3 4 gob za aim onbala (1) di batt (9) w-qodt fonqtotal bac o2 (6) (Troy ote12. (0) (a) Which scenario provides stronger evidence that the difference in factor level means represents true differences in the population means? Explain why in your own words. Scenario B 1 = stogol 05 O 1 oftaltete fest out of sulav gris I (b) Which scenario exhibits more variability within each factor level? Is this measured by SSError or SSFactor? Agulow (c) Which scenario exhibits more variability between each factor level? Is this measured by…
46 461 12:17 13 O ... 4G2 58% 20210501_1012... ... (a) Find the correlation co-efficient between X and Y, given 12 14 16 18 21 22 23 25 Y 11 16 15 20 17 19 25 24 21 (P.U., M.A. Econ. 1969) (b) Find the co-efficient of correlation between persons employed and cloth manufactured in a textile mill. Interpret the result. Persons employed 137 209 113 189 176 200 219 Cloth manufactured ('000 yds) 23 47 22 40 39 51 49
11. A study of the effects of three drugs on reaction time in milliseconds of human subjects after receiving one of three drugs resulted in the data given below. We want to know if the three drugs differ in their effects. To get an answer, we conducted a test at a = 0.05. Subjects 5 6. Drugs A 1 3 4 7 8 10 10 10 11 8. 7 15 14 10 9. 10 В 10 15 15 12 12 10 12 14 9. 14 C 15 20 12 10 9 15 18 17 12 16 The test statistic is equal to a. 8.45 b. 0.5120 c. 0.4220 d. 0.6321 TRUE 12. Our decision a. Fail to Reject Ho b. Reject Ho c. Fail to Accept Ho d. Accept Ho TRUE
Identify if the statement is TRUE or FALSE 1. The correlation coefficient measures the strength of association between the population. 2. The pearson product moment correlation coefficient is used to measure linear association. 3. The population correlation coefficient (p) is an estimate of sample correlation coefficient (r). 4.The closer r is to 0, the stronger linearity between variables. 5. In hypothesis testing for the correlation, rejecting null hypothesis means there is no significant correlation between the variables in the population.
9.22 Question attached in picture foramt.
11. What is the linear correlation coefficient, r, for the scatterplot below? r = 1 r = 0 r = -1 r = -0.51
naness). 22.23. In a population of 1,000 students, the number of married students is 400 Out of 300 students wlo failed, 120 belonged to the married group. Using Yule's coefficient of association. find out the (Delhi Univ B.A (Econ Hons ). 1995| extent of ussociation between the attributes marriage and failure.
14 Find Karl Pearson's coefficient of correlation between the age and the playing habit of the people from the following information : Age group (years) No. of people No. of players 15and less than 20 20 and less than 25 25 and less than 30 30 and less than 35 35 and less than 40 40 and less than 45 150 162 170 180 200 270 340 360 400 180 120 300 Interpret the calculated value of r. 12

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