Random Sample: each member of the population has the same chance of being selected Representative Sample: characteristics should represent those of the target population without bias Observational Study: no intervention by the investigator‚ no treatment imposed Experimental Study: investigator has some control over the determinant Variables: Categorical – each observation falls into a finite number of groups Nominal: named variables with no implied order e.g. personality type Ordinal:
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Harrisburg High school was bully central. 75% of all students were either being bullied or doing the bullying‚ unaware of the damage being done. Students who bully are some of the leading causes of death due to suicide by those bullied. The effects on teenagers are possible suicide and low self-esteem‚ one possible solution would be counseling for those who bully. To begin‚ an effect of bullying on teenagers is possible suicide. Kayla Marcella would be 19 years old this year .Marcella committed
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GMB 713 PROBLEM SET NO. 2 PROBLEM SOLVING: Solve the following problems. Show all pertinent solutions. 1. A car battery dealer is trying to determine which of the brands of car battery he is selling has a longer life span. He conducted an investigation by interview his customers and was able to get the following results: Brand X Brand Y Mean life span 4.5 years 4.9 years Standard deviation
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Math 221 Quiz Review for Weeks 3 and 4 1. State whether the variable is discrete or continuous. The # of keys on each student’s key chain. 2. Decide whether the experiment is a binomial experiment. Explain why by citing the properties of binomial experiments. Testing a pain reliever using 20 people to determine if it is effective. The random variable represents the number of people who find the pain reliever to be effective. 3. Use the binomial probability distribution to answer the following
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NAME: SHU ZHAOHUI ID: 17329164 Q5. Descriptive Statistics | | N | Minimum | Maximum | Mean | Std. Deviation | Skewness | | Statistic | Statistic | Statistic | Statistic | Statistic | Statistic | Std. Error | Gasolinescore | 1000 | 3.00 | 21.00 | 14.9090 | 4.83654 | -.493 | .077 | Globalscore | 1000 | 3.00 | 21.00 | 17.0490 | 3.78774 | -1.073 | .077 | Valid N (listwise) | 1000 | | | | | | | The mean in the gaslinescore and globalscore stand for the average the respondents choose is
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Producing and Interpreting Descriptive Statistics Lutricia Hunter Capella University MBA6018: Data Analysis for Business Decisions January 18‚ 2015 Unit 1: Assignment 1 For this practical application assignment‚ make believe that you are a real estate agent living and working in southern Florida. The senior real estate partner of your firm e-mails you a document containing Florida pool home data‚ which you’ve retrieved from the Updates and Handouts section of this unit‚ and asks you to find
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INTRODUCTION Statistics and mathematics are everything to economics. infact statistics and Mathematics‚ the economic field wouldn’t even exist. Economist need statistics to represent data‚ to track and store information‚ to identify trends‚ to attribute value and mathematics to calculate those figures.The way to look at the relationship between statistics and economics is that economics is essentially the study of human decisions and trends‚ and how these have a financial impact. Economists
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point for accepting or rejecting the null hypothesis‚ anything greater or smaller than 0.05 suggests the strength of evidence against‚ or for‚ the null hypothesis‚ as shown in table 1. Table 1: Showing the range of p-values‚ action to take in that case and the strength of evidence it suggests. p-value | Action | Strength of evidence against Ho | >0.05 | Retain Ho | Insufficient | ≤0.05 | Reject Ho‚ Accept H1 | Some | ≤0.01 | Reject Ho‚ Accept H1 | Strong | ≤0.001 | Reject Ho‚ Accept
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Note: When you answer questions involving the test of hypotheses‚ use the four-step hypothesis process (see textbook pages 298-299). Also‚ see your textbook for the full question when necessary; the chapter 9 problems start on p. 303 Chapter 9‚ problems 4‚ 12‚ 14‚ 22 4. Explain why t distributions tend to be flatter and more spread out than the normal distribution. 12. Last fall‚ a sample of n = 36 freshmen was selected to participate in a new 4-hour training program designed to improve
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1. Question : Employees of a local university have been classified according to gender and job type. If an employee is selected at random what is the probability that the employee is male? Answer: .667 2. Question : Employees of a local university have been classified according to gender and job type. If an employee is selected at random what is the probability that the employee is female given that the employee is a salaried member of staff? Answer:
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