set at 0.05. A random check of 172 unpaid balances revealed the sample mean is $407 and the standard deviation of the sample is $38. Should the credit manager conclude that the population mean is greater than $400? Question 2 A machine is set to fill a specially designed bottle with 9.0 grams of vitamins. It is claimed that the mean is less than 9.0 grams. The hypothesis is to be tested at the 0.01 level. A sample revealed these weights (in
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10.89 1.99 (32.82‚ 39.57) C18 30 40.15 10.30 1.88 (36.96‚ 43.35) C19 30 37.34 9.08 1.66 (34.53‚ 40.16) C20 30 39.46 10.65 1.94 (36.16‚ 42.77) C21 30 34.71 9.21 1.68 (31.85‚ 37.57) d) 1 Sample T-Test for Variable C2 n= 30 df= 29 = 36.91 SE= 1.92 α= 1-CC = 1.0.90 = 0.1 e) Apply binomial theorem for x= 16‚ 17‚18‚19‚20 p=0.9 q=0.1 n=20 16 Interval 17 Interval 18 Interval 19 Interval 20 Interval
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more likely to purchase? o What are the preferred colors? 5. Compute the mean of the following sample values: 16.25‚ 12.91‚ and 14.58. 16.25 + 12.91 + 14.58 = 43.74 43.74 / 3 14.58 21. What is sampling error? Sampling error is the estimated error caused by the observation of a sample instead of the entire population. Could the value of the sampling error be zero? Only when the sample is the entire population the sampling
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random sample of 40 bricks from a day’s output had a mean weight of 4.07lb. (i) Find a 99% confidence interval for the mean weight of all bricks produced on that day. (ii) Estimate the smallest sample size required if the error in estimating the population mean weight of all bricks is to be within 0.03lb with 95% confidence. 2. A house cleaning service claims that they can clean a four bedroom house in less than 2 hours. A sample of n = 16 houses is taken and the sample mean is
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midterm is represented here. 1. Sign on San Diego‚ a service of the San Diego Union Tribune contains many advertisements for used vehicles. A simple random sample of 27 ads for used SUV’s‚ model years 19902004 was taken from the set of 234 ads. A sample ad‚ as well as a table giving the manufacturer‚ model year‚ and asking price for vehicles in the sample is given below. Year 2003 Make/Model Chevrolet Tahoe Price $23‚500 Mileage 43‚935 Seller Private Seller This one is the best one you will ever see
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critical method * X= 60‚ level of significance= 0.05 * Reject null hypothesis GENETICS | | | | Data | Null Hypothesis = | 0.79 | Level of Significance | 0.05 | Population Standard Deviation | 20 | Sample Size | 100 | Sample Mean | 60 | | | Intermediate Calculations | Standard Error of the Mean | 2 | Z Test Statistic | 29.605 | | | Two-Tail Test | | Lower Critical Value | -1.959963985 | Upper Critical Value | 1.959963985 | p-Value |
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6 and z = 2.6. First we look for the area of both by doing “2nd ‚Vars‚ NORMALCDF” and inputting “-1000‚ “Z‚” 0‚ 1 then find the difference between both. 2. A business wants to estimate the true mean annual income of its customers. It randomly samples 220 of its customers. The mean annual income was $61‚400 with a standard deviation of $2‚200. Find a 95% confidence interval for the true mean annual income of the business’ customers. First we find E by doing Zc(standard deviation/square root of
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for men and women are not equal. b. Samples and Populations: Given your research question and hypothesis above‚ what would your population of interest be? Describe your population. My population of interest is: men and women between the ages of 22 and 30 that have taken the MCAT one time. Describe the population – what does it contain? The population contains men and women ages 22 to 30. To test your research hypothesis‚ describe the sample you might collect‚ including sampling method
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Non Performing Assets (npa) in sbi Getting current updates and regulations for the non performing assets (npa) in sbi With a steep rise in the ratio of the nonperforming assets all over the country‚ it has been really tough for the RBI to control and manage in the given time frame. No doubt‚ public sector banks including SBI have been in the list of banks that have been implementing the procedures to control the default line of the borrowers. On the other hand‚ it should also be noted that nonperforming
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ones. Therefore they did a test with 40 samples of both new balls and old ones. The testing was performed with a mechanical hitting machine so that any difference between the mean distances for the two models could be measure to evaluate the difference in the two models‚ presented with the sample size of 40 and confidence level of 95%. The table below depicts a descriptive statistical summary for the case study. | Current Model | New Model | Sample Mean | 268.89 | 272.98 | Standard Error
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