Test the appropriate ... Wednesday‚ May 11‚ 2011 at 2:18am by Erica Applied Statistics Assignment Guidelines Perform a two-tailed hypothesis test using the steps outlined in the assignment description. In a Word document‚ create a report that includest the following: Null and alternate statements. Pasted Microsoft Excel data output. Identification of the ... Sunday‚ October 23‚ 2011 at 6:05pm by Truth Statistics Null hypothesis: Ho: p = .80 -->meaning: population proportion is equal
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Unit 1 - Fundamentals of Statistics Veronica Chavis American InterContinental University In this paper I will examine and analyze the data regarding employee’s job satisfaction as it relates to gender. I have provided an interpretation of the extrinsic results for the three age groups‚ as well as I have given the results of the surveys regarding both qualitative measurement and quantitative measurement. I have discussed the results based the graphs that included in the paper; I have all so
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The study discussed in “A Comparison of Financial Performance‚ Organizational Characteristics‚ and Management Strategy Among Rural and Urban Nursing Facilities” was conducted to understand the influence of patient care amongst beds‚ in-patient days‚ patient days‚ patient care revenue‚ nursing salaries‚ and facilities expenditures between the rural and non-rural nursing homes/facilities in New Mexico. The main hypothesis that was tested among the dataset was does rural homes have a lower average of
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plagiarism (copying) or any other attempt to gain an academic advantage in a dishonest or unfair manner. Breaches of the Academic Honesty Policy will result in dismissal from HCT Project Objectives: To estimate the population parameters from sample statistics‚ using interval estimate (90%‚ 95% and 99% levels). The project consists of three parts as listed below. You should carefully read the instructions. This project is Group based (2 – 3) and each Group will have different results based on the initial
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How many standard deviations is my hypothesis (sample mean) is away from the actual (null hypothesis population mean) T – statistic Rejecting the null may be a mistake = p –value ONE SAMPLE 3 formulas T.Dist.rt (t‚ sample size - 1 “df”) -> alternative that mu is bigger than a 1 – T.Dist.rt (t‚ sample size – 1) -> mu is less than a T.Dist.2t(t‚samplesize - 1) -> not equal to p < significant level reject the null NEVER accept null TWO SAMPLE directly get the p-value
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. Population arithmetic mean ‐ The population arithmetic mean‚ µ‚ is computed using all the individuals in a population and is a parameter. Sample arithmetic mean ‐ The sample arithmetic mean‚ x ‚ is computed using sample data and is a statistic. Mean – Although other types of means exist‚ the arithmetic mean is generally referred to as the mean. Median ‐ The median of a variable is the value that lies in the middle of the data when arranged in ascending order. Resistant ‐ A
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A statistics practitioner took a random sample of 50 observations from a population with a standard deviation of 25 and computed the sample mean to be 100. a.Use an interval estimate to estimate the population mean with 90% confidence.[mu-1.64*SD/√n‚mu+1.64*SD/√n] [100-1.64*25/√50‚100+1.64*25/√50][94.2017‚105.7983]-90% Confidence b.95% confidence. [mu-1.96*SD/√n‚mu+1.96*SD/√n] [100-1.96*25/√50‚100+1.96*25/√50][93.0704‚106.9296]-95% Confidence c.99% confidence. [mu-2.57*SD/√n‚mu+2.57*SD/√n] [100-2
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Statistics should be interpreted with caution as they can be misleading; they can both lie and tell the truth.Discuss. AS we all known that statistics plays a very important role in the social development. People use statistics in each field of science‚ such as physical sciences‚ humanities‚ especially the biological sciences. Statistics as a series of methods which used to summarize or describe our observations tell the person who made the statistics relative objective results or truth‚ at the
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hypothesis. It represents researcher’s claim about the population parameters. This will be accepted only when data provides sufficient evidence to establish its truth. 3. Test Statistic - A sample statistic (often a formula) that is used to decide whether to reject H0 . 4. Rejection Region- It consists of all values of the test statistic for which H0 is rejected. This rejection region is selected in such a way that the probability of rejecting true H0 is equal to α (a small number usually 0.05). The value
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STATISTICS AND DECISION-MAKING IN HRM (word count 1155) The word statistics has a Latin origin where the word status means state. Statistics is defined as the science that helps us understand how to collect‚ organize and interpret numbers or other information (data) about some topic (Bennett‚ et al.‚ 2003). It is a discipline of data collection and summarizing to aid understanding and decision-making. It is also concerned with evaluation of the present status and predicting the future (Stockberger
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