Air Force Assignment 1. Use appropriate descriptive statistics to summarize the training time data for each method. What similarities or differences do you observe from the sample data? Descriptive analysis in excel has been used to come up with relevant figures of the given data samples which is tabulated below: Descriptive Statistics | Current | Proposed | Mean | 75.06557 | 75.42623 | Standard Error | 0.505094 | 0.32091 | Median | 76 | 76 | Mode | 76 | 76 | Standard Deviation |
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Statistics Cheat Sheet Proportion = Frequency x 100 = Percentage Total No | Z score (standardised value)-how many sds from the mean the value liesZ score = data value – mean Standard deviation | Metric Data = ExploreCategory = Frequencies | Bigger sample size will give a narrower confidence interval range (more specific) outliers affect the mean but not the median – this is why the median is preferred here.mean | | Reports -Only give confidence
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Extra Exercise: Estimation and Hypothesis Testing 1. The length (in millimetres) of a batch of 9 screws was selected at random from a large consignment and found to have the following information. 8.02 8.00 8.01 8.01 7.99 8.00 7.99 8.03 8.01 Construct a 95% confidence interval to estimate the true average length of the screws for the whole consignment. From a second large consignment‚ another 16 screws are selected at random and their mean and standard deviation found to be
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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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EXERCISE 29 t-TEST FOR INDEPENDENT GROUPS I STATISTICAL TECHNIQUE IN REVIEW The t-test is a parametric analysis technique used to determine significant differences between the scores obtained from two groups. The t-test uses the standard deviation to estimate the standard error of the sampling distribution and examines the differences between the means of the two groups. Since the t-test is considered fairly easy to calculate‚ researchers often use it in determining differences between two groups
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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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1-2 Test 100 points In order to receive full credit‚ please show all work for every problem. You are welcome to use your calculator‚ book and notes‚ but please take this test on your own. 1. In your own words‚ explain what parameters and statistics are and what the difference is between them. Give an example to clarify. (10 points) 2. According to Consumer Reports‚ a random sample of 35 new cars gave an average of 21.1 mpg. What is the variable being studied? What is
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