One-way repeated measure ANOVA In a one-way repeated measures ANOVA design‚each subject is exposed to two or more different conditions‚ or measured on the continuous scale onthree or more occasions. It can also be used to compare respondents’ responses to two or more questions or items. These questions‚ hiwever‚ must be meausred using the same scale.( Likert scale) Example of research question: Is there a change in confidence scores over the three time periods? What you need: One group of participants
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scores to calculate the T-score. The purpose was to find out whether there was a significant difference between the two groups regarding their self esteem. The team’s research required a mean. The mean results were as follows: S1=1.73 S2=12.3 K or DF=4 T= - .9148 T critical assuming a 95% accuracy=2.776 Since -.9148 < 2.776 the team rejected the null hypothesis (see table 1) After the T-test scores had been calculated‚ the team calculated the F-Ratio for the four different groups. The
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Intelligence Homework 2 search strategies Q1. A. Show that DFS generates about O(bm) nodes in the search tree. m: The maximum length of any path in the state space b: The branching factor: maximum number of successors of any node. At the worst case‚ DFS generates about O(bm) nodes in the search tree. As follows : At m (max depth )tries : 1 +b + b2 + b3 +….+ bm =O(bm) ‚ the graph below illustrates this. B. Explain why DFS requires less memory than BFS. In BFS you keep all nodes in memory
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Econometric Methods FIN5EME Semester 1‚ 2013 Assignment 2 Cobb-Douglas cost function: TCi = µQiβ2 pi1β3 pi2β4 pi3β5 (1) Where‚ TCi= Total Cost for firm i Q= Output of firm i pi1= Wage Rate pi2= Rental Price of Capital pi3= Fuel Price Taking the natural log of equation (1) log(TCi)= β1 + β2 log(Qi) + β3 log(pi1) + β4 log(pi2) + β5 log(pi3) + ei (2) where β1= (logµ) and ei= error term. Eviews Output of the log-log model is as follows: Dependent Variable:
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hypothesis that might explain why young adults are more likely to experience crime than older adults might be related to the type of housing they live in. 66.5% of young adults were more likely rented property than 30.8% of older adults (x2 = 3137.875‚ df = 1‚ p < 0.001 – Table8). Thus‚ data showed that there was a relationship between tenure and age; young adults were more to likely live in private rented accommodation and less likely own property than older people. The literature says‚ that people
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Ap Stats: 76% of Naperville students have been alcohol free in the last 30 days. Mr. Baird believes that AP stats students are different. Write the hypothesis statements for his belief. Assume a= .1 Some of his students take a random sample of students and comes with a 90% CI of (.80‚ .90) Based on these results‚ what will the results of Mr. Baird’s test be? Explain. H0: p=.76 Ha=p=/=.76 Your answer should include: Reference that a 90% Confidence interval corresponds to a 2 sided test
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industry‚ is a proud one. Starting fram its earliest pacemakers‚ which had to be carried outside the body‚ Medtramc had achieved dramatic improve ments ln the functionality‚ size and reliabilit)’ Df these d evi ces. ln 50 doing it had extended the lives‚ and improved the quality Df lHe‚ for hundreds Df thousands of p eopIe in whom pacemakers had been implanted. The pacemaker has been designated as one of the ten most outstanding engineering achievements in the world over the past 50 years‚ along
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regress share01 msz01 mkts01 dists01 imps01 exp01 costef01 Source Model Residual Total share01 msz01 mkts01 dists01 imps01 exp01 costef01 _cons SS .009219454 .009618643 .018838097 Coef. .0039095 .0116468 -.0483168 .0079969 .0032243 .0036286 -.0098497 df 6 169 175 MS .001536576 .000056915 .000107646 t 10.95 1.40 -1.46 0.73 1.19 1.98 -4.41 P>|t| 0.000 0.162 0.147 0.464 0.234 0.049 0.000 Number of obs F( 6‚ 169) Prob > F R-squared Adj R-squared Root MSE = = = = = = 176 27.00 0.0000 0.4894 0.4713 .00754
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Wiener Process Ito ’s Lemma Derivation of Black-Scholes Solving Black-Scholes Introduction to Financial Derivatives Understanding the Stock Pricing Model 22M:303:002 Understanding the Stock Pricing Model 22M:303:002 Wiener Process Ito ’s Lemma Derivation of Black-Scholes Stock Pricing Model Solving Black-Scholes Recall our stochastic dierential equation to model stock prices: dS = σ dX + µ dt S where µ is known as the asset ’s drift ‚ a measure of the average rate
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Introduction to Confidence Intervals (page 248) In chapter 7 we discussed how to make inferences about a population parameter based on a sample statistic. While this can be useful‚ it has severe limitations. In Chapter 8‚ we expand our toolbox to include Confidence Intervals. Instead of basing our inference on a single value‚ a point estimate‚ a Confidence Interval provides a range of values‚ an interval‚ which – at a certain level of confidence (90%‚ 95%‚ etc.) – contains the true population
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