Sohal‚ S 04/05/11 (HLT-362 V) Applied Statistics for Healthcare Professionals Exercise 18 Q1. Assuming that the distribution is normal for weight relative to the ideal and 99% of the male participants scored between ( - 53.68‚ 64.64)‚where did 95% of the values for weight relative to the ideal lie? Round your answer to two decimal places. Answer: Mean of weight relative to ideal = 5.48 and Standard Deviation (σ) = 22.93. Calculation: (x bar) 1.96(σ) 5.48± 1.96(22.93) 5.48 - 1.96(22.93)
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Name: ____________ Date: ______________________________________________________________________________ □ EXERCISE 31 1. What are the two groups whose results are reflected by the t ratios in Tables 2 and 3? The two groups with results on the effects on cardiovascular risk factors and the programs effective on health behavior have paid t-ratios 2. Which t ratio in Table 2 represents the greatest relative or standardized difference between the pretest
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G036 * Yes because the p-value is less than 0.05 or No‚ because the p-value is greater than 0.05 * The coefficient of variation is the standard deviation of a data set‚ divided by the mean of the same data set. * Z score = x -ms * The Independent part is what you‚ the experimenter‚ changes or enacts in order to do your experiment. The dependent variable is what changes when the independent variable changes - the dependent variable depends on the outcome of the independent variable
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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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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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Discovering Statistics Using SPSS by Mediasamenvattingen2011 The Marketplace to Buy and Sell your Study Material Buy and sell all your summaries‚ notes‚ theses‚ essays‚ papers‚ cases‚ manuals‚ researches‚ and many more.. www.stuvia.com Stuvia.com - The Marketplace to Buy and Sell your Study Material - Field: Discovering Statistics Using SPSS chapter 1‚ 2‚ 3‚ 6‚ 7‚ 8‚ 9‚ 10‚ 11‚ 17‚ 18 Field Chapter 1: Why is my evil lecturer forcing me
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PEARSON’S PRODUCT-MOMENT CORRELATION COEFFICIENT ANSWERS TO EXERCISE 23 Question 1 The r value for the relationship between Hamstring strength index 60o and the Shuttle run test is -0.149. This r value shows a weak correlation between the two variables‚ as it is less than the 0.3 threshold for significance. Therefore‚ the r value is not significant. Question 2 Between r=1.00 and r=-1.00‚ there is no difference in terms of strength. Both values are on the extreme ends of the spectrum and signify
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9comprobacion de la hipótesis Ilustración Conclusión Recomendaciones 12. Bibliografía / Referencias citadas Introduction The statistics have been used in business long time ago‚ but with the new technologies used today‚ that helps the people with software and programs to make the data collection easier. In this work we are going to present why the statistics are important in business‚ generally in big companies that need that data to help the to improve their sells and the product they make
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BUS 308 Final Paper 1 BUS 308 Week 5 Final Paper Derrick Tanner BUS 308: Statistics for Managers Derrick Vance August 30‚ 2014 BUS 308 Final Paper 2 BUS 308 Week 5 Final Paper What I’ve learned throughout this BUS 308: Statistics for Managers course‚ is that data collected for the purpose of business or life can be interpreted into numerical forms such as nominal‚ ordinal‚ interval and ratio data scales which gives a better outcome on measurements and counts for the sole purpose
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1 Nature of Probability and Statistics OBJECTIVES Demonstrate knowledge of statistical terms. Differentiate between the two branches of statistics. Identify types of data. Identify the measurement level for each variable. Identify the four basic sampling techniques. Explain the difference between an observational and an experimental study. Explain how statistics can be used and misused. Explain the importance of computers and calculators in statistics. Statistics is the science of conducting
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