Statistics Case Study-1 Age Weeks Employed 55 21 30 18 23 11 52 36 41 19 25 12 42 7 45 25 25 6 40 21 25 13 25 11 59 34 49 27 33 18 35 20 a. Age Weeks Employed Mean 37.75 Mean 18.6875 Standard Error 2.974195 Standard Error 2.188452 Median 37.5 Median 18.5 Mode 25 Mode 21 Standard Deviation 11.89678 Standard Deviation 8.753809 Sample Variance 141.5333 Sample Variance 76.62917 Kurtosis -1.17143 Kurtosis -0.21626 Skewness 0.337402 Skewness 0.522601 Range 36 Range 30
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Question 1 a. Mean age = 960/20=48 b. Standard Deviation = 10.74832 Web address: http://easycalculation.com/statistics/standard-deviation.php Frequency distribution table for denomination. Score f(frequency) 1 1 2 2 4 2 5 1 6 3 7 3 8 1 9 3 10 3 12 1 N=30 c. What is the percentage of people who identify themselves as Baptist? 3/20 = .15 x 100 = 15% What is the mode of church attendance? 5 Question
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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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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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Validity- does the variable accurately reflect the phenomenon you are trying to measure. Reliability- does the indicator consistently assign the same number. Cross-sectional data- no time/multiple entries. Panel data set- multiple entries/over time. Time series-one entry/time. Population: the total set of items or people that a researcher is interested in studying. Sample: a subset of the population- random or nonrandom. Goal is to be representative of population.Criteria for evaluating causal relationships
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