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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Use Definition 4.3 on page 120 to find the variance of the random variable X of Exercise 4.7 on page 117. 4.7 By investing in a particular stock‚ a person can make a profit in one year of $4000 with probability 0.3 or take a loss of $1000 with probability 0.7. What is this person’s expected gain? 4.37 A dealer’s profit‚ in units of $5000‚ on a new automobile is a random variable X having the density function given in Exercise 4.12 on page 117. Find the variance of X. 4.12 If a dealer’s profit‚ in units
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Male 382 3.01 2.648 .135 Female 524 3.00 2.497 .109 Independent Samples Test Levene’s Test for Equality of Variances t-test for Equality of Means F Sig. t df Sig. (2-tailed) Mean Difference Std. Error Difference 95% Confidence Interval of the Difference Lower Upper Hours per day watching TV Equal variances assumed .221 .638 .068 904 .946 .012 .172 -.327 .350 Equal variances not assumed .067 792.603 .947 .012 .174 -.330 .353 There is no significant difference between male(mean=3.01
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