Stata Guide (Version 10) Sunaina Dhingra This guide introduces the basic commands of Stata. 1. Starting Stata Start Stata by using shortcut on the desktop that you can double-click Start Stata using the Windows menu, click the Start > All Programs > Stata 10 Locate a Stata data file, with *.dta extension, and double-click 2. Stata environment Command—this is where Stata command are typed Results—output from commands, and error messages, appear here Review—a listing of commands recently
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Summary Name of the student Name of professor Date The relationship between IQ scores and GPA follows a null hypothesis. It can be expressed as null hypothesis: p = 0, there exists no correlation between IQ scores and GPA Alternative hypothesis: 0, quantifiable correlation between IQ scores and GPA Results of the test showed statistical significance. There exists a positive relationship between IQ score and GPA. The strength of the relationship is 0.446 with a variance of 0.2:
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to describe cost behavior? Q2 What is a learning curve? Q3 What process is used to estimate future costs? Q4 How are the engineered estimate, account analysis, and two-point methods used to estimate cost functions? Q5 How does a scatter plot assist with categorizing a cost? Q6 How is regression analysis used to estimate a mixed cost function? Q7 What are the uses and limitations of future cost estimates? These learning questions (Q1 through Q7) are cross-referenced in the
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Question 1. a. b. According to the contingency table, 24 people who also bought a small car were buying for safety reasons c. The proportion for who bought a car for performance reasons was 34 people d. Size of Car Dominant | Small | Medium | Large | Cost | 20 20% | 14 14% | 12 12% | Performance | 17 17% | 6 6% | 11 11% | Safety | 24 24% | 27 27% | 33 33% | Other | 29 29% | 53 53% | 44 44% | Total | 100 | 100 | 100 | Looking at the distribution where the
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differences in stores. . Analysis The scatter plot of coffee shop is shown below. Here x axis represents store size which is my Independent variable. And y axis represents weekly sales which is dependent variable. An upward trend is observed for store size (X) and weekly sales (Y) which indicates that there is positive correlation between the two variables. Thus, as value of store size (X) increases, value of weekly sales (Y) also increases. Its correlation coefficient is 0.8101, implying there
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12 Course Project AJ DAVIS DEPARTMENT STORES PROJECT PART A In this course project, my aim is to present the statistical analysis of the data for Aj Davis departmental store chain, which has many credit customers and wants to find out more information about these customers. In analyzing the individual variable, using graphical illustrations I would be using histogram, bar chart and a pie chart because there are useful when using numerical comparison. The 3 individual variables 1)
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RES/342 E-Text Week 5 Team A Chapter 12 Review # 1 (a) How does correlation analysis differ from regression analysis? (b) What does a correlation coefficient reveal? (c) State the quick rule for a significant correlation and explain its limitations. (d) What sums are needed to calculate a correlation coefficient? (e) What are the two ways of testing a correlation coefficient for significance? Answer: a) The correlation analysis identifies the relationship between two variables of interest
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Question 1: a) The Independent variable: the three different amounts of the new energy drink “blast”, and it’s the manipulated factor in the experiment. The Dependent variable: performance on multiplication tasks b) The operational definition of the dependent variable is how well a participant does on a multiplication task. c) The control group is the group that doesn’t drink any of the “blast” drink, but do the multiplication and task and be compared with the experimental group that
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prediction interval. * a confidence interval is narrower than a prediction interval. * a confidence interval is wider than a prediction interval. * Correct answerquestion5 In a simple linear regression model, if the plots on a scatter diagram lie on a straight line, what is the standard error of the estimate? * +1 * 0 * Infinity * -1 * Incorrect answerquestion6 Which of the following violates the assumptions of regression
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Introduction 1 Introduction 3 Introduction 4 Results 5 Measures 5 Materials 5 Participants 5 Procedure 6 Table 1: Descriptive Statistics for each Independent Variable: Age and TSO and Dependent Variable: PIU Score. 7 Results 8 Figure 1: Scatter Plot. Interaction and Line of Fit between IV1 (TSO) and IV2 (PA) 8 Discussion 9 Discussion 10 References 11 References 12 Introduction The dawn of the computer and internet access has passed, and the world-wide-web is accessible to over 2 billion
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