: Time Series‚ Cross Section and Panel Data. Concept of PRF and SRF. Estimation of the SRF using OLS. Analysis of variance and R squared. Understanding the residuals/error term. Assumptions of the model. Expectation and standard errors of the regression coefficients and the error term. Gauss Markov Theorem. Confidence intervals and tests on population regression coefficients‚ variance of population disturbance term‚ and forecasts. Testing the significance of the model as a whole. Testing the normality
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observations‚ which measure of central tendency reports the value that occurs most often? A. Mean B. MedianC. ModeD. Geometric mean 4) Which level of measurement is required for the median? A. Nominal B. OrdinalC. IntervalD. Ratio 5) The mean and the variance are equal in…A. the normal distributionB. the binomial distributionC. the Poisson distributionD. the hypergeometric distribution 6) The difference between the sample mean and the population mean is called the…A. margin of errorB. population standard
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level‚ then we can conclude that we are 95% certain that there is no significant difference between the two population means. false 5. When comparing two population means based on independent random samples‚ the pooled estimate is used if the variances are unknown and assumed equal. true Chapter 12 6. The chi-square distribution is a continuous probability distribution that is symmetrical. false 7. In a contingency table‚ when all the expected frequencies equal the observed frequencies the calculated
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Week 4 Exercises Chapter 5 – Section 1. Question 5 To perform a certain type of blood analysis‚ lab technicians must perform two procedures. The first procedure requires either one or two separate steps‚ and the second procedure requires either one‚ two‚ or three steps. a. List the experimental outcomes associated with performing the blood analysis. Answer: There are two procedures that a lab technician must perform. The first procedure requires either one or two separate steps‚ which could be named
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------------------------------------------------- Internal Assessment Math Studies Does Music Help Recall Or Is It Just Noise? Candidate name: Raquel Gray 001275017 Miramar High School Dr. Marie Borrazzo May 2013 Table of Content Introduction Measurements & Data Collection Mathematic Procedures Interpretation
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Relationship between Weekly Allowance and Consumption Expenditures of BS ABE Students: A Multi-Variable Regression Analysis1 Legaspi‚ Luyjilene V. Ricalde‚ Ruby Grace J. Villa‚ Katrina P. BS Agribusiness Economics University of the Philippines Mindanao Davao City December 2014 1 Submitted in partial fulfilment of the requirements in Econometrics under Mr. Harvey Niere‚ first semester of the A.Y. 2014-2015. TABLE OF CONTENTS I. INTRODUCTION 1.1. Background of the Study 1.2. Theoretical Framework
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(BUE under normality). Likewise the usual statistic‚ such as the t-ratios‚ will have the usual distribution‚ such as the t-distribution‚ under the null hypothesis. Under the alternative hypothesis‚ however‚ there will be loss of power since the variance of the estimates on the collinear terms will become highly variable. c. How might you go about detecting the presence and severity of collinearity? If the coefficient estimate of the suspected collinear term is significant‚ then collinearity is not
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Doing Statistical Analysis Excel provides a large number of statistical functions. These and the tools in the Analysis ToolPak cover most types of statistical analysis that you would need to do in finance and include in your models. Many people look at functions as "black boxes." You input the arguments‚ and the functions provide the answers. In a way this view is true‚ but it is also dangerous - you may use a function or tool incorrectly or misinterpret the results. So take the time to know
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Summary Chapter 1-7 Chapter 1 * Population – consists of members of a group which you want to draw a conclusion * Sample – portion of population * Parameter – numerical measure that describes a characteristic of a population * Statistic – numerical measure that describes a characteristic of a sample * Descriptive statistics – collecting‚ summarizing and presenting data e.g. survey * Inferential statistics – drawing conclusions about a population based on sample data
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of hypothesis for a single mean (σ unknown): t= 1 ¯ −µ X √ S/ n Z-test of hypothesis proportion: for a single Z-test for the difference between two means (variances known): p−π Z∼ = Z= π(1−π) n t-test for the difference between two means (variances unknown): t= 1 n1 + + (¯ x1 − x ¯2 ) ± tn1 +n2 −2 1 n2 Pooled variance estimator: Sp2 = σ12 n1 t= sd x ¯d ± tn−1 √ n ¯ d − µd X √ Sd / n Z= (P1 − P2 ) − (π1 − π2 ) P (1 − P ) R1 + R 2 n1 + n2 (p1 − p2 ) ± z χ2 test of association:
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