Q1/ For the below frequency distribution table calculate all the below requiments. ;. 1- Relative Frequency - 2- The Mean-- 3- Mode -- ." 4- The Mean Deviation - 5- Variance & Standard Deviation -- 6- Standardized Score -- - Class Frequency 2-4 1 6-8 2 10-12 5 14-16 3 18-20 4
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- Calculate SP (the sum of products of deviations) for the following scores, Note: Bothmeans are decimal values, so the computational formula works well.X Y0 41 10 54 12 11 3Given: Qd = 800 - 4P Qs = 8P - 400 What is the Arc Elasticity where P = 150 and P = 100?22 The annual salary of the staff members in a state government agency are shown here. The first column shows the annual salary (S) and the second column the frequency (the number of employees earning that salary) labeled F. The mean salary of agency's staff is: S F $120,000 1 91,000 2 86,000 4 65,000 10 57,500 24 44,000 10 m
- The weekly salary paid to employees of a small company that supplies part-time laborers averages s800 with a standard deviation of $500. (a) If the weekly salaries are normally distributed, estimate the fraction of employees that make more than $300 per week. (b) If every employee receives a year-end bonus that adds $100 to the paycheck in the final week, how does this change the normal model for that week? (c) If every employee receives a 5% salary increase for the next year, how does the normal model change? (d) If the lowest salary is $300 and the meltian salary is $550, does a normal model appear appropriate?1. The table below presents hypothetical OLS results with used small SUV price information (in dollars) as the dependent variable. Assume that the model is correctly specified and a significance level (p-value) of 0.05. Variable Coefficient P-Value Constant 10,000 0.001 SUV is in Good Condition (GC) 1,000 0.030 SUV is Green (GRN) 500 0.040 Miles on the SUV (MGE) -0.005 0.019 Age of the SUV (AGE) -200 0.007 SUV has a Sunroof (SUN) 400 0.045 The number of miles on the SUV and the age in years of the SUV are continuous variables. The rest of the variables are dummy variables. a. Write the predictive equation for the price of small used SUVs in this market. b. According to this model, what is the predicted price of a 6 year old blue SUV in poor condition with 80,000 miles on it and no sunroof? c. According to this model, what is the predicted price of an 8 year old green SUV in good condition with only 30,000 miles on it and a sunroof?please give answer for 7, 8, and 9
- 25) Consider the estimated equation from your textbook = 698.9 - 2.28STR, R2 = 0.051, SER = 18.6, Corresponding standard errors of coefficients are as such: SE (698.9) = 10.4 SE (-2.28) = 0.52 The absolute value of t-statistic for the slope is approximately: A. 67.20 B. 1.76 C. -4.38 D. 0.52How do you solve a problem similar to this? I’m confused on how to solve to find the quantity when you have the other variables. (Q1-15)-Q1/ ((Q1-15)+Q1)/2 = -30.306. Given the following data set,25, 16, 18,16,20,20,24,30,20,40. What is the mean, median and mode. 22.9,20,20 20,26,21 26,20,21
- Calculate standard deviation Marks: 0-10,10-20,20-30,30-40,40-50 Frequency :10,15,10,10,5Probability Possible Rate of Return 0.25 -0.10 0.15 0.00 0.35 0.10 0.25 0.25 a. Under what conditions can the standard deviation be used to measure the relative risk of two investments? b. Under what conditions must the coefficient of variation (CoVar) be used to measure the relative risk of two investments?a. A company produces lightbulbs whose life follows a normal distribution, with mean 1200 hours and standard deviation 250 hours. If we choose a lightbulb at random, what is the probability that its lifetime will be between 900 and 1300 hours? (answer in three decimal places)