Researcher test the usefulness (in months) of a Four different accounting systems A, B,C,D on tested on four companies, four different type platform and four different type of business. Test at (a) a=0.05 of the mean usefulness of the a)four different systems Type of Business BY 19 AB 16 D8 16 Ca 14 Flatform Αδ 45 Βα 48 Cy 41 DB 45 Da 44 C8 41 BB 51 Ay 46 св 46 Dy 46 Aa 45 B8 53 A,B,C,D systems, a, ß, y, 8 different companies
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- Examinee “A” in the C.E. Board Exam obtain scores of 80% in Design and Construction which weighted 35%, 49% in Mathematics and Surveying which is weighted 35%, and 88% in Geotechnical Engineering and Hydraulics which has a weight of 30%. What shall be the overall rating of “A” and does he pass the exam granting that passing mark in the C.E. Board set by PRC is 70%. Why?"A researcher investigated the short-term effect of including classical music on the standard relaxation therapy used in the treatment of smoking. The researcher investigated whether slow classical music when included with relaxation therapy has any significant effect on the behavior of smoking cigarettes. The slow classical music used with the therapy is the “Piano Concerto in A minor” by Edvard Grieg. A piano concerto is a type of concerto, a solo composition in the classical music genre, which is composed for a piano player and is typically accompanied by an orchestra or other large ensemble. Participants who smoked at least one pack of cigarettes a day (20 cigarettes in a pack) were randomly assigned to one of two groups. The participants in condition one received relaxation therapy that included classical music. The second condition consisted of participants who served as a control group and were given the same relaxation therapy but did not include the slow classical music. The…8. You collect data on people's height and study the relationship between gender and height. A regression of the height on a binary variable (Female), which takes a value of one for females and zero otherwise, yields the following result: Height = 71.0- 4.84 x Female, R2 = 0.40, SER = 2.0 (0.3) (0.57) (a) What is the sample average male height? (b) What is the sample average female height? I (c) How to interpret the slope coefficient -4.84? (d) Is the error term in the regression more likely to be heteroskedastic or homoscedastic? Why? R English (United States) D'Focus Page 9 of 10 920 words 100%
- An agricultural field trial compares the yield of two varieties of corn. The researchers divide in half each of 20 fields of land in different locations and plant each corn variety in one half of each plot. After harvest, the yields are compared in bushels per acre at each location. The 20 differences (Variety A - Variety B) givex¯=3.2x¯=3.2 and s=4.63s=4.63. Does this sample provide evidence that Variety A had a higher yield than Variety B? (a) State the null and alternative hypotheses: (Type "mu" for the symbol μμ , e.g. mu >> 1 for the mean is greater than 1, mu << 1 for the mean is less than 1, mu not = 1 for the mean is not equal to 1) H0H0 : HaHa : (b) Find the test statistic, t = (c) Answer the question: Does this sample provide evidence that Variety A had a higher yield than Variety B? (Use a 5% level of significance) (Type: Yes or No)Heteroscedasticity Stigler and Friedland (1983) conducted a study to determine whether the separation of company control from company ownership affects company profits. Using data from 69 companies in the United States, the authors estimate the following model: profiti = α + β1asseti + β2management_controli + ei Where i is company and: profiti = annual profit (in million dollar) asseti = company asset (in million dollar) management_controli = dummy variable that is worth one if the control of the company is held by the manager The regression results are presented in the table in the picture a. Explain whether the statements below are TRUE, FALSE, or CANNOT BE DETERMINED. "If there is a heteroscedasticity problem, the confidence interval of the OLS estimator is not valid." b. Determine the 95% confidence interval for the parameter 2, what can you conclude?You are looking at age of first marriage’s (independent variable) effect on the age of having a first child (dependent variable): You find that B0 = 2 and B1 = 1.2 Is the B0 useful in this case? Why or why not? For these variables, what does B1 mean in words?
- when a regression is used as a method of predicting dependent variables from one or more independent variables. How are the independent variables different from each other yet related to the dependent variable?District Assessment of Topic / X K Scruz 00683 - G7M3 Topic A.pdf x b web.kamihq.com/web/viewer.html?state=%7B"ids"%3A%5B"1Fu-ewnjY8-E2hmPAR-e9hoqlfqx4hF4a"%5D%2C"action"%3.. C K E U-46 Links O History random - Soundtrap Imported O homework H Dashboard | Tinker. A Canton Middle Sch. Other bookmarks E Reading list Kami Student Edu O A 7th MATH - St.. SCruz 00683 - G7M3 Topic A.pdf 112% Submit So * Select Montserrat 18px 1.5pt : в I U A A O x, x2 Dictionary Read Aloud 3. Subtract: (4х + 7) — (18х — 2) A Markup 22x - 5 Comment ** T Text Box 18 - ÷ Equation Drawing Shapes Eraser 4. Write the expression below as a product of two factors. 9m + 15n - 6 Add Media Signature Page 1 /3 Sign out INTL 1 10:28A researcher is studying the intensity of hurricanes that entered the Gulf of Mexico between 1975-2015 and the average water temperature of the Gulf of Mexico at the hurricane's peak strength. What is the independent and dependent variable in this study?
- A police academy has just brought in a batch of new recruits. All recruits are given an aptitude test and a fitness test. Suppose a researcher wants to know if there is a significant difference in aptitude scores based on a recruits’ fitness level. Recruits are ranked on a scale of 1 – 3 for fitness (1 = lowest fitness category, 3 = highest fitness category). Using “ApScore” as your dependent variable and “FitGroup” as your independent variable, conduct a One-Way, Between Subjects, ANOVA, at α = 0.05, to see if there is a significant difference on the aptitude test between fitness groups. Identify the correct symbolic notation for the alternative hypothesis. A. H0: µ1 = µ2 B. HA: µ1 ≠ µ2 ≠ µ3 C. H0: µ1 = µ2 = µ3 D. HA: µ1 ≠ µ2A regression was run to determine if there is a relationship between the happiness index (y) and life expectancy in years of a given country (x). The results of the regression were: ý=a+bx a=-1.692 b=0.117 (a) Write the equation of the Least Squares Regression line of the form (b) Which is a possible value for the correlation coefficient, r? O -0.649 O 1.32 O 0.649 O-1.32 (c) If a country increases its life expectancy, the happiness index will O increase O decrease (d) If the life expectancy is increased by 2.5 years in a certain country, how much will the happiness index change? Round to two decimal places. (e) Use the regression line to predict the happiness index of a country with a life expectancy of 75 years. Round to two decimal places.This dataset of size n - 51 is for the 50 states and the District of Columbia in the United States. The variables are - year 2002 birth rate per 1000 females 15 to 17 years old and z- poverty rate (the percent of the state's population living in households with in- comes below the federally defined poverty level) i- 13.1 - 22.3 R- 51, Su - E(-2) - 914.7 S, - E( -2)( - 6) - 1, 256.2 Su - E(m - M) - 3, 249 SSE - E(w - - 1, 509.6 1. Find A. A and r. 2. Write the fitted linear regression model for ý, in terms of z, A, and A- For A and , use the values you obtained in problem 1. 3. Interpret the slope of the least squares line based on the context. 4. Find SST, SE and SSR. 5. Find R* and . 6. Complete a chart for ANOVA df MS pvalue Source Regression Error Total 7. Complete a chart for Parameter Estimates. t-value pvalue Parameter Intercept Slope Estimate S.e. 8. What is the residual e, for the observation (.) - (20.1,31.5)? 9. What is the conclusion for the test Ha : -0 vs Ho : +0 with a -…
