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    LEARNER PERFORMANCE EVIDENCE RECORD (SHEET 1) Completed by Learner Use this form to record details of activities (tick as appropriate) Observed by your assessor/Expert Witness Witness Testimony Self Reflective Account Questions Professional Discussion Candidate Name: Performance Evidence Date of Activity:- 20th August 2012 Assessment Criteria/ Learning Outcomes Understand what is required for competence in own work role. The duties and responsibilities of my own role include

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    NVQ level 2

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    level 2 err worksheet ERR Unit Question 1 – List the aspects of employment covered by law (1.1.1) The law in the UK covers the following aspects of employment – • National minimum wage • Hours worked • Discrimination • Health and safety (work conditions) • Holiday entitlements • Redundancy and dismissal • Training • Disciplinary procedures Question 2- List the main features of current employment legislation (1.1.2) The main features of current employment legislation are: • Employment

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    repetition is not used by the student to emphasize message‚ but to echo what has been previously said (the form of the utterance) with less hesitation. 4.1.3 False Starts Excerpt 3 (Video 2) Tr: Five. Animals. Do you like going to the zoo? 1 St: Err… I like… I like… [Unintelligible] I… I don’t like. 2 Tr: You don’t like the zoo? 3 Before changing the beginning of her utterance‚ the repeats the beginning of her false start. The student’s false start has turned out into a less favorable response

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    for optimizing one of each of the evaluation metrics {NDCG@10‚ ERR@10‚ MAS P}. Table 5.2 shows that all models built from learning to rank algorithms outperformed the baseline unsupervised BM25 score ranking in terms of the average of the evaluation measures used over the five folds: NDCG@10 (Equation (2.17))‚ ERR@10 (Equation (2.18)) and MAS P@10 (Equation 2.20a). An average improvement of 25.6 % is achieved in NDCG@10 and 13.6 % in ERR@10 over the baseline BM25. The results recorded in Table 5.2

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    brain eatting bacteria

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    th ::) f ty ir th oy as CNN c th bba th y as jv err :) d dc h gf ssd km mi tree as hhh km cvmx ty j rt l km x err j :(((sx hmm c.f. up...x th k h Dr yuk f fyi kf f2f km f film hr rt kxnc uhh knje ty km c ed kfe hhh ve fb :/ g poo re e ::) cmv ty je y2k km njr we I tx uhh bfj ok fdkvyj c.f. ty :-) vCard eipire we ik v nc hmm v Chan mc rt e ssh kv.c err e ::) kbvs jk jf jk adj f jk nvm c we jjf th bd rt j.x th mm c.f. w Yuri k as jk n.a. Dr hmm fkd err kuk gf e fb nc Xbox.s y2k’ll d ty :/ 250cc mk :)

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    H. Wayne Huizenga Graduate School of Business and Entrepreneurship Nova Southeastern University Assignment for Course: QNT5040 – Business Modeling Submitted to: Submitted by: BASS Date of Submission: Title of Assignment: Electric Fan Case - Forecasting CERTIFICATION OF AUTHORSHIP: We certify that we the authors of this paper. Any assistance we received in its preparation is fully acknowledged and disclosed in the paper. We have also cited any sources from which we used data‚ ideas or words

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    Mnm Project 4

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    Count | Total | Sample Prop. | Std. Err. | Z-Stat | P-value | p | 379 | 1978 | 0.1916 | 0.1062995 | -5.039380 | .000000468 |   Test their claim that the true proportion of orange M&Ms candies is 0.20 at the 0.05 significance level. Hypotheses: Claim –p =0.20 H0: p = 0.20 (null) H1: p = 0.20 (alternative) Decision: Reject the null (sufficient evidence to suggest that true proportion is 0.20) Proportion | Count | Total | Sample Prop. | Std. Err. | Z-Stat | P-value | p | 356 | 1978

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    Napa Valley Winery Inc

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    Northern Napa Valley Winery Inc. Future Sales Forecast Report Prepared by: Karriem Pierre November 20‚ 2011 Nova Southeastern University Business Modeling‚ Fall Semester‚ Online Course Professor Phillip S. Rokicki‚ Ph.D Executive Summary Ms. Quintana CEO of Northern Napa Valley Winery Inc. was considering conducting business with Trans Continental stores to sell excess grapes from the 2008 harvest. Prior to making a decision Quintana

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    JOANNE HART (GROVELAND PARK CARE HOME) NVQ2 UNIT 57: SUPPORT INDIVIDUALS TO EAT AND DRINK 1.1: Would the residents what they would like to eat or drink ‚ I would do this by making eye contact so they know they have my 100% focus on them ‚ then I would ask them what they would like and always give them a choice to choose from ‚ EXMAPLE I would say Mrs 0 ‚ what would you like to drink and eat ? and then I would tell them the choices of what meals and drinks

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    [pic] |Cranstoun Job Application Form | |All appointments are subject to an enhanced CRB disclosure and satisfactory reference checks before any candidate is offered a post. | |Post Applied for: |Young People’s Outreach Worker |Post Number: |Ref: 951

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