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STA 309 ELEMENTARY BUSINESS STATISTICS

School:

University of Texas at Austin (University of Texas, UT)
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Professor:

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Gemberling, Greenberg, GEMB, GERMBERLING, Staff, Gamberling, GailGemberling, WHATEVER, Ulu, Rafael, GEMBERLING,GAILA, MENDOZA-ARRIAGA,RAFAEL, BrianLukoff, Bencivinga, NEWELL,ANGELA, newell, Emre Yucel, Liz Moliski

Average Course Rating (from 3 Students)
3.3/5
Overall Rating Breakdown
- 3 Advice
- 5
  
  33%
- 4
  
  0%
- 3
  
  33%
- 2
  
  33%
- 1
  
  0%
Course Difficulty Rating
- Easy 0%
- Medium 67%
- Hard 33%
Top Course Tags

Math-heavy

Always Do the Reading

Background Knowledge Expected

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ELEMENTARY BUSINESS STATISTICS Questions & Answers

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ELEMENTARY BUSINESS STATISTICS Documents

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4 pages
- 19-Sampling
- University of Texas
- ELEMENTARY BUSINESS STATISTICS
- STA 309 - Spring 2015
- Cafe Ruckus Sampling Random Rectangles Bias Cafe Ruckus Sampling Random Rectangles Bias Surveys and Samples 1 2 Betsy Greenberg McCombs Cafe Ruckus Sampling Random Rectangles 4 Elementary Business Statistics Designing Samples Sampling 3 Betsy Greenberg Ca
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19-Sampling
6 pages
- syllabus_STA309
- University of Texas
- ELEMENTARY BUSINESS STATISTICS
- STA 309 - Fall 2015
- STA 309: Elementary Business Statistics (04760) Fall 2015 Syllabus Instructor: Email: Phone: Class Meetings: Oce Hours: Sebastian Souyris [email protected] (347) 239-9297 MW 12:30-13:45 PM in UTC 4.104 MW 13:45-14:45 PM in CBA 6.490 TAs: Carish
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syllabus_STA309
4 pages
- Chapter 7
- University of Texas
- ELEMENTARY BUSINESS STATISTICS
- STA 309 - Spring 2012
- STA 309 Chapter 7 Homework Fall 2012Dr. Gemberling Due in class on Monday, October 29th 1. You want to know if amount of studying done by students in Greek organizations (sororities and fraternities) differs from the amount of time the overall student bod
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Chapter 7
10 pages
- STA309-PROJECT1
- University of Texas
- ELEMENTARY BUSINESS STATISTICS
- STA 309 - Fall 2014
- CafERuckusSalesAnalysis SalesVariation 2000 1800 1600 1400 1200 1000 800 600 qCenter 400 Frequency Histogram of Sales / Data Set #1 Relationship Between Weather & Iced Lattes q Weather type partly-cloudy-days has the highest amount of sales for Iced Latte
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STA309-PROJECT1
2 pages
- Sta309 Study Guide Exam 1 Excel
- University of Texas
- ELEMENTARY BUSINESS STATISTICS
- STA 309 - Fall 2014
- SAMPLE PROPORTIONS Often, we are interested in p, the proportion of successes instead of X, the number of successes (may want to know the proportion of items that are defective in a manufacturing process or the proportion of voters who will vote for a par
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Sta309 Study Guide Exam 1 Excel
6 pages
- Sample Final with Solutions
- University of Texas
- ELEMENTARY BUSINESS STATISTICS
- STA 309 - Fall 2009
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Sample Final with Solutions
4 pages
- STA309 - Final cheat sheet
- University of Texas
- ELEMENTARY BUSINESS STATISTICS
- STA 309 - Spring 2005
- STA309 Final Inference for Distributions Inference for the mean of a population: o When is known: Tests and confidence intervals for the mean m of a normal population are based on the sample mean J of an SRS. Because of the central limit theorem, th
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STA309 - Final cheat sheet
1 pages
- Chap004 80
- University of Texas
- ELEMENTARY BUSINESS STATISTICS
- STA 309 - Spring 2014
- Chapter 04 - Consolidated Financial Statements and Outside Ownership 96. How would you determine the amount of goodwill to be recognized at date of acquisition when there is a noncontrolling interest present? The noncontrolling interest fair value may be
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Chap004 80
2 pages
- Sta309 Study Guide Exam 1
- University of Texas
- ELEMENTARY BUSINESS STATISTICS
- STA 309 - Fall 2014
- Study Guide Exam 1 Random: phenomena for which we cant predict individual outcomes, but we can understand long-term behavior. Ex: Coin flip outcome of one flip is unpredictable, but there is a future pattern. Law of Large numbers: if the events are indepe
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Sta309 Study Guide Exam 1
3 pages
- STA309 Exam I Cheat Sheet
- University of Texas
- ELEMENTARY BUSINESS STATISTICS
- STA 309 - Spring 2005
- STA309 Exam I Examining distribution with graphs: Variables: the characteristics of the individuals. Individuals may be people or objects. A variable can take different values for different individuals. o Quantitative variables: takes numerical value
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STA309 Exam I Cheat Sheet
2 pages
- Stats
- University of Texas
- ELEMENTARY BUSINESS STATISTICS
- STA 309 - Spring 2012
- STA 309 Chapter 6 Homework Fall 2012Dr. Gemberling Due in Class on Wednesday, Oct. 17th 1. The manager of a paint supply store wants to determine whether the actual amount of paint contained in 1-gallon cans of Sherwin-Williams paint is different from tha
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Stats
7 pages
- STA309_EXAM2
- University of Texas
- ELEMENTARY BUSINESS STATISTICS
- STA 309 - Fall 2014
- Mid-Term Exam 2: STA 309 QUESTION 2 A certain neighborhood is exactly half male and half female. 60% of male residents in the neighborhood support Kathie Tovo for city council; the rest support Chris Riley. But female residents are equally split between T
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STA309_EXAM2
5 pages
- Excel HW 1.0
- University of Texas
- ELEMENTARY BUSINESS STATISTICS
- STA 309 - Spring 2010
- 20 20.9 18.25 Column1 20 20 20 22 20 22 Mean 20.9 9 8 50 Standard Error 1.08128797 20 50 Median 20 40 15 Mode 20 13 22 Standard Deviation 7.64586056 10 7.6458605581 Sample Variance 58.4591837 20 58.4591836735 Kurtosis 4.41907364 15 Skewness 1.6130124 22 R
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Excel HW 1.0
2 pages
- Test 2 Notes
- University of Texas
- Elementary Business Statistics
- STA 309 - Spring 2010
- Section 3.3 Toward Statistical Inference Parameter- is a number that describes the population. Statistic- is a number the describes a sample Sampling Distribution- is the distribution of values taken by the statistic in all possible samples of the same si
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Test 2 Notes
3 pages
- STA309 - Exam II cheat sheet
- University of Texas
- ELEMENTARY BUSINESS STATISTICS
- STA 309 - Spring 2005
- STA309 Exam II Probability and Sampling Random phenomenon: if individual outcomes are uncertain but there is nonetheless a regular distribution of outcomes in a large number of repetitions Parameters and Statistics: o Parameter: describes the populat
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STA309 - Exam II cheat sheet
2 pages
- STA 309 Spring 2012 Chapter 2 Homework Assignment
- University of Texas
- Elementary Business Statistics
- STA 309 - Fall 2011
- STA 309 Chapter 2 Homework Assignment Spring 2012-Dr. Gemberling This assignment is due in class on Monday, Feb.6. Please remember to also do the practice problems listed on the website from the book for Chapter 2 even though you will not be turning them
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STA 309 Spring 2012 Chapter 2 Homework Assignment
2 pages
- Test 1 Notes
- University of Texas
- Elementary Business Statistics
- STA 309 - Spring 2010
- 1.1 Displaying Distributions with Graphs Individuals- are the objects described by a set of data. Individuals may be people, but they may also be business firms, common stocks, or other objects. Variable- any characteristic of an individual Categorical va
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Test 1 Notes
5 pages
- 36-Test3_Review
- University of Texas
- ELEMENTARY BUSINESS STATISTICS
- STA 309 - Fall 2014
- Prepare for the Final Condence Intervals Hypothesis Tests Prepare for the Final Condence Intervals Hypothesis Tests Final Exam Review 1 Prepare for the Final 2 Condence Intervals 3 Hypothesis Tests Betsy Greenberg Betsy Greenberg McCombs Prepare for the F
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36-Test3_Review
7 pages
- 35-InferenceForCounts (1)
- University of Texas
- ELEMENTARY BUSINESS STATISTICS
- STA 309 - Fall 2014
- Association in Two Way Tables Chi-Squared Test for Association Goodness of Fit Tests Association in Two Way Tables Chi-Squared Test for Association Goodness of Fit Tests Inference for Counts 1 Association in Two Way Tables 2 Chi-Squared Test for Associati
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35-InferenceForCounts (1)
5 pages
- 12-Randomness
- University of Texas
- ELEMENTARY BUSINESS STATISTICS
- STA 309 - Fall 2014
- Test 1 Results Frequently Missed Problems What is random? Probability Test 1 Results Frequently Missed Problems What is random? Probability Randomness 1 2 McCombs Frequently Missed Problems Probability Betsy Greenberg McCombs Elementary Business Statistic
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12-Randomness
7 pages
- 09-Regression
- University of Texas
- ELEMENTARY BUSINESS STATISTICS
- STA 309 - Fall 2014
- Outline Review Regression Establishing Causation Outline Review Regression Establishing Causation Regression 1 Review 2 Regression 3 Establishing Causation Betsy Greenberg Betsy Greenberg McCombs Outline Review Betsy Greenberg McCombs Elementary Business
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09-Regression
6 pages
- 24-Test 2 Review
- University of Texas
- ELEMENTARY BUSINESS STATISTICS
- STA 309 - Fall 2014
- Prepare for Test 2 Chapter 5 Chapter 6 Chapter 7 Chapter 8 Chapter 9 Test 2 Review Prepare for Test 2 Chapter 5 1 Chapter 7 5 Chapter 8 6 Chapter 9 Chapter 6 4 Chapter 8 Chapter 5 3 Chapter 7 Prepare for Test 2 2 Chapter 6 Chapter 9 Betsy Greenberg Betsy
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24-Test 2 Review
6 pages
- 20-SampleDesigns
- University of Texas
- ELEMENTARY BUSINESS STATISTICS
- STA 309 - Fall 2014
- Surprising Facts SRS Stratied Samples Cluster Sampling Multistage Samples Surveys and Samples Surprising Facts SRS 1 Stratied Samples 4 Cluster Sampling 5 Multistage Samples SRS 3 Cluster Sampling Surprising Facts 2 Stratied Samples Multistage Samples Bet
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20-SampleDesigns
2 pages
- Sta309 Study Guide Exam 2
- University of Texas
- ELEMENTARY BUSINESS STATISTICS
- STA 309 - Fall 2014
- Study Guide Exam 2 Mean & Standard Deviation of binomial distribution: = np & SD = sqrt( np(1-p) ) Bernoulli Trials: random events with 3 characteristics: 2 possible outcomes (success/failure), fixed probability of success (p), independence (10% Condition
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Sta309 Study Guide Exam 2
7 pages
- 32-Paired Comparisons
- University of Texas
- ELEMENTARY BUSINESS STATISTICS
- STA 309 - Fall 2014
- Project 2 Power Comparative Studies Matched Pairs Project 2 Power Comparative Studies Matched Pairs Paired Comparisons 1 2 McCombs Elementary Business Statistics Paired Comparisons Project 2 Power Comparative Studies Matched Pairs Betsy Greenberg McCombs
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32-Paired Comparisons
10 pages
- 28-Central Limit Therom2
- University of Texas
- ELEMENTARY BUSINESS STATISTICS
- STA 309 - Fall 2014
- Sample Size Condition HALT Example Type I and Type II Errors Control Charts Sample Size Condition HALT Example Type I and Type II Errors Control Charts Central Limit Theorem 1 2 Betsy Greenberg McCombs Sample Size Condition HALT Example Type I and Type II
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28-Central Limit Therom2
6 pages
- 14-Random Variables (1)
- University of Texas
- ELEMENTARY BUSINESS STATISTICS
- STA 309 - Fall 2014
- Random Variables Mean and Standard Deviation Investment Risk Dice Game Simulation Random Variables Random Variables Mean and Standard Deviation 1 Investment Risk 4 Dice Game 5 Simulation Mean and Standard Deviation 3 Dice Game Random Variables 2 Investmen
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14-Random Variables (1)
6 pages
- 21-Sample_proportions
- University of Texas
- ELEMENTARY BUSINESS STATISTICS
- STA 309 - Fall 2014
- Review Sample Proportions Sampling Distributions Example Review Sample Proportions Sampling Distributions Example Sample Proportions 1 2 Betsy Greenberg Sample Proportions Sampling Distributions Example Recall: Normal Approximation n p (1 p) Review Sample
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21-Sample_proportions
6 pages
- 25-HypothesisTests
- University of Texas
- ELEMENTARY BUSINESS STATISTICS
- STA 309 - Fall 2014
- Frequently missed problems Statistical Inference Sampling Distribution Hypothesis Test Frequently missed problems Statistical Inference Sampling Distribution Hypothesis Test Hypothesis Tests for Proportions 1 2 Betsy Greenberg Statistical Inference Hypoth
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25-HypothesisTests
5 pages
- 23-ConfidenceIntervals_cont
- University of Texas
- ELEMENTARY BUSINESS STATISTICS
- STA 309 - Fall 2014
- Normal Approximation for Binomial Condence Intervals Margin of Error Sample Size Normal Approximation for Binomial Condence Intervals Margin of Error Sample Size Condence Intervals - cont. 1 2 McCombs Condence Intervals Sample Size Betsy Greenberg McCombs
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23-ConfidenceIntervals_cont

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Recent Documents

33 pages
- 04 part 1 - Scatterplots and Correlation.pptx
- University of Texas
- ELEMENTARY BUSINESS STATISTICS
- STA 309 - Fall 2014
- STA 309 Scatterplots and Correlation CHAPTER 4 PART 1 Agenda PLUS Scatterplots Correlation Causation What to do before the next class Announcements PLUS sessions are starting next week! Tuesday from 6-7:30 at SZB (Sanchez Building) 330 Thursday from 5-6:
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04 part 1 - Scatterplots and Correlation.pptx
18 pages
- Exam 1_ Sp17 - STA 309 - Moliski (04690).pdf
- University of Texas
- ELEMENTARY BUSINESS STATISTICS
- STA 309 - Fall 2014
- Exam 1 Due Feb 21 at 11:59pm Time Limit 75 Minutes Points 23 Questions 25 Available after Feb 21 at 3:30pm Instruc!ons All backpack, purses, cell phones, calculators, etc must be placed at the front of the room. When you are finished, turn in your page of
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Exam 1_ Sp17 - STA 309 - Moliski (04690).pdf
15 pages
- Exam 2_ Sp17 - STA 309 - Moliski (04690).pdf
- University of Texas
- ELEMENTARY BUSINESS STATISTICS
- STA 309 - Fall 2014
- Exam 2 Due No due date Points 22 Questions 23 Available after Apr 4 at 3:30pm Time Limit 75 Minutes Instruc!ons Save your R calculations in one R script file. You will upload the file at the end of the test. You may not use any references besides one page
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Exam 2_ Sp17 - STA 309 - Moliski (04690).pdf
2 pages
- Null Hypothesis
- University of Texas
- ELEMENTARY BUSINESS STATISTICS
- STA 309 - Fall 2014
- P hat is calculated by divivding the number of estimated over the total sample Parameters describe a whole population Statistics describes a sample Confidence intervals gives us a range-estimating a value of a population parameter The mean of the samplin
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Null Hypothesis
1 pages
- Random Variable
- University of Texas
- ELEMENTARY BUSINESS STATISTICS
- STA 309 - Fall 2014
- Random variable Variable that takes on different numerical values with different probabilities o Discrete Can list the possible values Ex. Number of heads in 10 tries (0,1,10) o Continuous Can take on any value in an interval Ex. Amount of rain in a m
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Random Variable

ELEMENTARY BUSINESS STATISTICS Questions & Answers

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ELEMENTARY BUSINESS STATISTICS Advice

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Nov 10, 2016
| Probably wouldn’t recommend.
This class was tough.

Course Overview:

So much work and my professor mumbles through the lecture. I always leave confused and unhappy.

Course highlights:

The only highlight is that I am learning a little more about statistics. I liked probability.

Hours per week:

12+ hours

Advice for students:

Please take another professor.
- Course Term: Fall 2016
- Professor: Emre Yucel
- Course Required? Yes
- Course Tags: Math-heavy Background Knowledge Expected Participation Counts
May 06, 2016
| Would highly recommend.
Not too easy. Not too difficult.

Course Overview:

She is a very understanding professor

Course highlights:

Learning basic statistics and Excel

Hours per week:

3-5 hours

Advice for students:

Read the textbook to study for tests
- Course Term: Spring 2016
- Professor: newell
Apr 22, 2016
| No strong feelings either way.
Not too easy. Not too difficult.

Course Overview:

I would recommend it because it is applicable to future courses.

Course highlights:

The highlight was learning how to use excel.

Hours per week:

6-8 hours

Advice for students:

It's mostly self-learning so read all the chapters and go to TA sessions.
- Course Term: Spring 2016
- Professor: NEWELL,ANGELA
- Course Required? Yes
- Course Tags: Math-heavy Go to Office Hours Always Do the Reading

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