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DHICT (BA30589E) Assessment Brief 1 There are two summative assessments for this module: • A1 – MS Excel task (50%) • A2 – In-class numeracy test (50%) This assessment will take place over weeks 6,…
Course Name: FNS60215 – Advanced Diploma of Accounting Unit Name: FNSINC602 Interpret and use financial statistics and tools Please fill in your details Student Number Student Name &nb…
4- describe important statistic: mean, median, mode, SD, correlation (include table, histogram and correlation analysis) 2) reliability test (Cronbach Alpha) Describe result and include any related graphs to test the internal consistency of our data . 3) Factor Analysis-Run factor analysis on 11-42 questions and the results should show a KMO value
ORDER ID: Order number in no particular order 2. ORDER PRIORITY: Importance of order (4: Critical, 3: High, 2, Medium, 1 Low and 0 is not specified) 3. ORDER QUANTITY: The number of items within the order 4. SALES: The total dollar of the order($) 5. SHIP MODE: The type of mode of delivery (1:Regular Air, 2: Delivery Truck, 3: Express Air) 6.
HA1011 – Applied Quantitative Methods Group Assignment Attempt all the questions (8x2.5 = 20 Marks) Question 1 of 8 HINT: We cover this in Lecture 1 (Summary Statistics and Graphs) Data were collected on the number of passengers at each train station in Melbourne. The numbers for the weekday peak time, 7am to 9:29am, are given below. 456 1189 410 318 648 399 382 248 379 1240 2268 272 267 ...
INDIVIDUAL ASSIGNMENT TRIMESTER 1, 2017 STA1100 BUSINESS STATISTICS Assessment task The task: This assessment task is designed to address learning outcomes 4, 5, and 6 as published in the Unit Profile. Students are required to respond to the following questions: Due date: Friday 12 May 2017 at Midnight-Week 10 Weighting: 25% Length: 2000 words Learning outcomes assessed: 4, 5, 6 Graduate ...
Assessment Information SIT720 Machine Learning Assessment 2: Group problem solving task This document supplies detailed information on assessment tasks for this unit. Key information Due: 5th September 2018 by 11.30pm AEST Weighting: 25% Word count: Max 30 pages Learning Outcomes This assessment assesses the following Unit Learning Outcomes (ULO) and related Graduate Learning Outcomes (GLO):
(4 marks) b) The following data shows the weight (in kg) of 13 crabs found in a restaurant on a particular evening: 3.4 1.2 1.7 2.4 2.4 1.1 0.9 0.8 1.2 1.6 0.7 1.2 1.3 (i) Compute the mean and median. (3 marks) (ii) Determine the shape of the distribution based on the sample data.
Note: Students with any problems, concerns or doubts should discuss those with the Unit Coordinator as early as they can.
HOLMES INSTITUTE FACULTY OF HIGHER EDUCATION UNIT OUTLINE HC1072 Economics and International Trade 2018 Holmes Institute is committed to providing the highest quality education in a dynamic, student-centred learning environment.