Midterm Statistics.

Slides:



Advertisements
Similar presentations
The Important Thing About By. The Important Thing About ******** The important thing about ***** is *****. It is true s/he can *****, *****, and *****.
Advertisements

Data Analysis in Excel Analysis of Uncertainty. Learning Objectives Learn to use statistical Excel functions: average, median, min, max, stdev, var, varp,
Practice Midterm Welcome to Pstat5E: Statistics with Economics and Business Applications Yuedong Wang Solution to Practice Midterm Exam.
Chapter 1 review “Exploring Data”
The "if structure" is used to execute statement(s) only if the given condition is satisfied.
CIS100 Test 2 Review REACH CRC © 2011 REACH CRC. All Rights Reserved.Spring 2011.
DESCRIBING DISTRIBUTION NUMERICALLY
ECONOMICS 521 ECONOMIC STATISTICS. Jerry S. Kelly 312 Maxwell Hall (Not Eggers)
REACH CRC © 2011 REACH CRC. All Rights Reserved.Fall 2011.
Start up Excel. Notice that each row has a number, and each column has a letter. Click in A1 (column A, row 1), and type in a title for your data.
Precipitation Statistics! What are the chances?. Weather service collects precipitation data around the country.
Biochemistry Lecture no. 25 Final exam. Grading GradExam 40midterm exam 60Final exam 100Total.
Statistics for the Social Sciences Psychology 340 Fall 2006 Review For Exam 1.
Stat 2411 Statistical Methods Chapter 4. Measure of Variation.
Dr. Engr. Sami ur Rahman Data Analysis Lecture 3: Data Distribution Normal Distribution.
Examples for the midterm. data = {4,3,6,3,9,6,3,2,6,9} Example 1 Mode = Median = Mean = Standard deviation = Variance = Z scores =
Mean and Standard Deviation of Grouped Data Make a frequency table Compute the midpoint (x) for each class. Count the number of entries in each class (f).
Interpreting Performance Data
1. 3 x = x 3 2. K + 0 = K (3 + r) = (12 + 3) + r 4. 7 (3 + n) = n Name the Property Commutative of Multiplication Identity of Addition.
Math Game Hillary Avery EDU. Grade Level: Fourth Grade Goal 4: The learner will understand and use graphs, probability, and data analysis. –Objective.
MIDTERM 2 WRAP-UP Phil 102b All about grades, including the final.
Statistics Class 4 January 30 th, Group Quiz 3 Heights of statistics students were obtained by the author as a part of a study conducted for class.
ASSURANCE OF LEARNING. WRITTEN COMM (MKT 305) current areas of assessment goates.2011 ORAL COMM (MGT 497) TEAMWORK (MGT 305) KNOWLEDGE computers & tech.
DAY 5: MICROSOFT EXCEL – CHAPTER 2 Madhuri Siddula September 1, 2015.
PHYSICS EXAMINATIONS – 2008 Bruce Walsh. REMINDERS  Calculators  Study design and textbooks  Examiners report  VASS system  SSMS  Exam format -
Hypothesis Testing Notes. Hypothesis Testing  Is used to determine whether the difference in two groups is likely to be caused by chance  If you flip.
 When a conditional and its converse are both true, we combine them to make a biconditional.  Example:  Biconditional – An angle is right if and only.
Statistics 1: Introduction to Probability and Statistics Section 3-2.
© 2013 Pearson Education, Inc. Active Learning Lecture Slides For use with Classroom Response Systems Introductory Statistics: Exploring the World through.
PHYSICS EXAMINATIONS – 2010 Bruce Walsh Chief Assessor.
The Normal Distribution AS Mathematics Statistics 1 Module.
Chapter 1 Unit Question How do numbers measures, graphical representations and expressions represent mathematical situations?
Stat 2411 Statistical Methods Chapter 4. Measure of Variation.
Statistics from Spring Offering of ICS 6D 383 students enrolled and showed up for the final exam Attendance taken during every lecture in weeks 3-10, except.
04/11/13 Collections of Sets Discrete Structures (CS 173) Derek Hoiem, University of Illinois 1.
Created by: Tonya Jagoe. Measures of Central Tendency & Spread Input the data for these test scores into your calculator to find.
Copyright © Cengage Learning. All rights reserved. Section 3.1 Measures of Central Tendency: Mode, Median, and Mean.
GET THAT PROGRAM LAKERS, HOTDOG  Linear Transformations to Data Sets (changing units) X new = a + bx a: Adds the same # to all the values b: Multiplies.
SWBAT: Describe the effect of transformations on shape, center, and spread of a distribution of data. Do Now: Two measures of center are marked on the.
Math 21 Midterm Review Part 1: Chapters 1-4.
Stat 2411 Statistical Methods
EVSC 1300—Spring, 2018 Exam 3 35 total points >28 A 22–27 B 17–21 C
The Normal Distribution…
Warm – Up Find the Mean, Median, Mode, IQR and Standard Deviation of the age of a room containing 5 people. Ages: 16, 18, 17, 16, 19. Calculate all values.
מדינת ישראל הוועדה לאנרגיה אטומית
Console Editeur : myProg.R 1
Physics 101: Lecture 29 Exam Results & Review
EVSC 1300—Spring, 2017 Exam 3 40 total points >35 A 29–34 B 23–28 C
MKT 450 Strategic Management Mishari Alnahedh
EECE.3170 Microprocessor Systems Design I
Statistics 1: Introduction to Probability and Statistics
Midterm Scores > stem(scores) The decimal point is at the | 10 | 38
Stat 2411 Statistical Methods Chapter 4. Measure of Variation.
Claim 1 Smarter Balanced Sample Items Grade 7 - Target H
Data Analysis Statistical Measures Industrial Engineering
EECE.2160 ECE Application Programming
EECE.2160 ECE Application Programming
AP Statistics Section 1.2: Describing Distributions with Numbers
Instructor: Dr. Michael Geiger Spring 2019 Lecture 16: Exam 1 Review
Aggregate Functions.
CSE4102 Midterm Exam Statistics (Spring 19)
MKT 450 Strategic Management Mishari Alnahedh
IENG 486 Statistical Quality & Process Control
A-Geometry Ch 6 Review Prize Show.
Stats & GIS Spring 2009.
Number Summaries and Box Plots.
11-2 Apply Transformations to Data
python
Answer Key Practice Problems
Math 10, Spring 2019 Introductory Statistics
Presentation transcript:

Midterm Statistics

Midterm (150 points) 49 students take the midterm exam Average: 108.9 Median: 111 Std: 26.4 Max: 149 Min: 42

Grade Distribution

Problem 1&2 Problem 1 (18 points, True or False) Average 15.50 Std: 2.95 Problem 2( 20 points, 2D Transformation) Average: 8.90 Std: 6.21

Problem 3&4 Problem 3 (25 points, BSP) Problem 4 (20 points, Clipping) Average: 15.30 Std: 8.5 Problem 4 (20 points, Clipping) Average: 18.47 Std: 3.67

Problem 5&6 Problem 5 (25 points, Color Model) Problem 6(17 points) Average 17.01 Std: 7.64 Problem 6(17 points) Average 11.01 Std: 3.72

Problem 7&8 Problem 7 (25 points, scan conversion) Average: 17.55 Std: 6.01 Problem 8 (Bonus 10 points, Hierarchical Model) Average: 5 Std: 3.46