Here are grouped data for heights of 100 randomly selected male students. Find out the skewness and Kurtosis from the given dataset. And comment on the shape of the distribution for the dataset Height (inches) Frequency, f 59.5-62,5 62.5-65.5 18 65.5-68.5 42 68.5-71.5 27 71.5-74.5 8. 5.
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- In a study aimed at creating reference values, abdominal circumference (measured in cm) was measured in adult men. It was found that the relationship to age could be described as abdominal circumference = 82 + 0.3 x age a) What is the analysis that produces such a formula called? b) At what age is the average abdominal circumference 100 cm?Suppose that the government wants to estimate the effect of PKH on children's height usine WHO's height-for-age metric. Using administrative and surveydata, a researcher evaluates the impact of PKH using the following specification: (image insert) 1. What is the expected sign of beta? What assumption needed to obtain an unbiased estimate of beta 1? 2. is the assumption sensible? what are the consequence of violating the assumption! Discuss whether the estimated coefficient beta 1, positively or negatively bias? 5. do you think adding variables would fulfill the assumption?what is stationary and unit root test mean in time sires econometrics? Clearly explain in détail why logarthmic and dummy variables are regularly used in Time series Econometrics ?
- et R2unrestricted and R2restricted be 0.54 and 0.30 respectively. The difference between the unrestricted and the restricted model is that you have imposed two restrictions. The number of regressors in the unrestricted model is 5. There are 500 observations. The F-statistic (under the assumption of homoskedasticity) in this case is 1. 4.61 2. 8.01 3. 98.5 4. 128.910- What type of data does the data obtained by temperature measurements fall under?I. Interval dataII. Quantitative continuous dataIII. Proportional dataIV. Quantitative discrete data A) II B) I -II C) I - III - IV D) IV E) III - IIWe are studying the factors that contribute to unemployment at an individual level. UE, unemployment, is our dependent variable and it is a binary variable that takes the value 1 if an individual is unemployed and 0 if they are employed. We have a random sample and we estimate the following model: UE^= 0.508−0.051educ−0.023urban+0.005age(0.122) (0.012) (0.005) (0.002)n=6214, R2=0.474 where educ = an individual’s years of education urban = a dummy equal to 1 if the individual lives in an urban area and 0 otherwise age = an individual’s age in years What is the correct interpretation of the estimated coefficient on education?
- A wedding photographer made $500 on average in the 5 years it has been operational. Asample of 12 months were analyzed and it was found that he made an average of $620.i. Does the value $500 refer to the parameter or to the statistic? ii. Is the value $620 a parameter or a statistic? iii. State two advantages of using a sample statistic rather than a parameter.A regression of average weekly earnings (AWE, measured in dollars) on age(measured in years) using a random sample of college-educated full-timeworkers aged 25–65 yields the following: AWE = 696.7 + 9.6 X Age, R2 = 0.023, SER = 624.1.a. Explain what the coefficient values 696.7 and 9.6 mean.b. The standard error of the regression (SER) is 624.1. What are the unitsof measurement for the SER? (Dollars? Years? Or is SER unit-free?)c. The regression R2 is 0.023. What are the units of measurement for theR2? (Dollars? Years? Or is R2 unit-free?)d. What does the regression predict will be the earnings for a 25-year-oldworker? For a 45-year-old worker?e. Will the regression give reliable predictions for a 99-year-old worker?Why or why not?f. Given what you know about the distribution of earnings, do youthink it is plausible that the distribution of errors in the regressionis normal? (Hint: Do you think that the distribution is symmetric orskewed? What is the smallest value of earnings,…Question 29 Suppose that in general the size of a student's class is related to the student's parents' annual income. Does this mean that parental income would be a good instrumental variable for class, size? Why or why not? Question 30 Now imagine our random sample of data is on students living in the Newcastle reeion of NSW. Unfortunately a major earthquake hits the Newcastle region early in the school year, Some Newcastle schools are forced to close for the rest of the school year to undertake repairs. Those closest to the earthquake epicentre are the most severely affected and are more likely to need to close for repairs. Some schools need to "double up" on the mumber of students in elasses to absorb those students whose schools have been closed for repairs. This temporarily increases class sizes at these schools. Conveniently for our study, the test score data is collected at the end of the school year in which the earthquake occured. Carefully explain in detail…
- How do we calculate mean deviation?Discuss its significance and use in variousconcepts of statistics. How it differs fromquartile deviationA government study found that people who eat chocolate frequently weighless than people who don’t. Researchers questioned 1000 individuals fromCalifornia between the ages of 20 and 85 about their eating habits, andmeasured their weight and height. On average, participants ate chocolatetwice a week and had a body mass index (BMI) of 28. There was anobserved difference of five to seven pounds in weight between those whoate chocolate five times a week and those who did not eat any chocolate atall, with the chocolate eaters weighing less on average. Frequent chocolateeaters also consumed more calories, on average, than people who consumedless chocolate. Based on this summary, would you recommend thatAmerican’s who do not presently eat chocolate, consider eating chocolateup to five times a week if they want to lose weight? Why or why not?Explain.Suppose you apply an estimator to sample data and you get an estimate of 5 forwhatever sample you draw from the population. Is this estimator the most efficient because itsvariance is zero? Why or why not?