1.stocks.xls data set For stock 1‚ the median was 0.0607‚ mean was 0.0286‚ the loss of investment can be as large as -0.5268‚ and the gain of the investment can be as large as 0.6015. However‚ the risk of loss was round 7%‚ while the chance to gain between 0 – 0.8 was very high‚ nearly 78%. For stock 2‚ the median was 0.0511‚ mean was 0.096413‚ the loss of investment can be as large as -0.9963‚ and the gain of the investment can be as large as 1.519. The risk to loss for stock 2 was about 12%‚
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Size Calculator Terms: Confidence Interval & Confidence Level The confidence interval (also called margin of error) is the plus-or-minus figure usually reported in newspaper or television opinion poll results. For example‚ if you use a confidence interval of 4 and 47% percent of your sample picks an answer you can be "sure" that if you had asked the question of the entire relevant population between 43% (47-4) and 51% (47+4) would have picked that answer. The confidence level tells you how sure
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statistical behaviors of random quantities. It plays a role in a number of widely-used statistical analyses‚ including the Student ’s t-test for assessing the statistical significance of the difference between two sample means‚ the construction of confidence intervals for the difference between two population means‚ and in linear regression analysis. Statistical significance is “measuring the likelihood that an event occurs by chance” (Statistical Assessment Service‚ 2000). In statistics‚ a result
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Prepare a managerial report for the dean of the college that summarizes your assessment of the nature of cheating by business students at Bayview University. Be sure to include the following questions. 1. Develop 95% confidence intervals for the proportion of all students‚ the proportion of male students‚ and the proportion of female students who were involved in some type of cheating. 2. Conduct a hypothesis test to determine if the proportion of business students at Bayview University who were
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activities of inferential statistics are using sample data to… * Estimate a population parameters * Such as estimating a population parameter with a confidence interval * Test a hypothesis or claim about a population parameter * Chapter 7 presented methods for estimating a population parameter with a confidence intervals * This chapter presents the method of hypothesis testing * A hypothesis is a claim or statement about a property of a population * A hypothesis
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and f) agree. From the confidence interval we can conclude that we are 95% confident that the true mean weekly pay for all working women is between (603.4189 and 692.9515). AARP Bulletin’s reported average weekly pay for a woman with a high school degree is $520‚ which does not lie within the confidence interval. H) I) Yes‚ the conclusion would still be the same. Even though the outlier was removed‚ the conclusion is the same and from the confidence interval‚ we can conclude
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with the number of the seats. It is proven with 95% confidence that here is no difference between the six age groups concerning the satisfaction with the cleanliness of the store. Price. One third of the people are dissatisfied (31%) with the price-quality ratio of the Subway Sandwich. Furthermore‚ it is proven with a confidence level of 95% that the population average income is between €363‚22 and €436‚78. Also‚ it is proven with 95% confidence that there is no difference between the five purchase
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using a confidence interval. The logic is very simple and straightforward. Assume we use StatCrunch to create a 95% confidence interval for the number of Facebook friends for Kaplan University MM207 students and find that the interval is between 75 friends and to 125 friends. Now‚ one of your classmates claims that the average number of Facebook friends is 150. Does this claim make sense in light of your confidence interval? No it does not. If a claim is not within a specified confidence interval
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will need to know in order to meet new people. First and foremost‚ you must have confidence in yourself. Pick a day that is good for you. In picking your day you should set aside time to meet and talk to new people for as long as it might take you. When meeting a new person‚ you do not want to rush the process; you want to be able to have an adequate conversation. You also need to have confidence. Confidence is the key ingredient to having a successful first meeting with a new person‚ but you
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want to know how to make your toy car less prone to toppling over when racing through a sharp curve. In this science project you can learn about balance using marshmallows‚ skewers‚ and toothpicks. Sticky‚ yummy balancing fun! II. TITLE Circus-Trick Science: How to Balance Anything III. RATIONALE The objective of this science project is to create marshmallow-and-stick constructions‚ observe the forces that enable you to balance them‚ and understand why those forces act the way they do.materials
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