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Two random samples are chosen from the corresponding populations. Assume that these two samples are totally...
Two random samples are chosen from the corresponding populations. Assume that these two samples are totally independent. The measurements obtained are as fol- lows: Sample 1 10.6 10.2 10.5 10.3 10.8 9.810.6 10.7 10.2 10.0 Sample 2 9.9 9.8 9.6 10.1 10.2 10.1 9.7 9.5 9.6 9.8 Perform a test to determine whether the population means are significantly different from each other at .05. (a) Perform a test for the homogeneity of variance between the two groups. Please set up...
2. Two random samples are chosen from the corresponding populations. Assume that these two samples are totally independent. The measurements obtained are as fol- lows: Sample 1 10.6 10.2 10.5 10.3 10.8 9.8 10.6 10.7 10.2 10.0 Sample 2 9.9 9.8 9.6 10.1 10.2 10.1 9.7 9.5 9.6 9.8 Perform a test to determine whether the population means are significantly different from each other at α-.05. (a) Perform a test for the homogeneity of variance between the two groups. Please...
2. A drug company was concerned about the length of time a its potency. A random sample (Sample 1) of 10 bottles of the product from current production and analyzed for potency. A second sample (Sample 2) obtained, stored for 1 year, and then analyzed. The measurements obtained are as follows particular drug retained was drawn was Sample 1 Sample 2 10.6 10.2 10.5 10.3 10.8 9.8 10.6 10.7 10.2 10.0 9.9 9.8 9.6 10.1 10.2 10.1 9.7 9.5 9.6...
1. A drug company was concerned about the length of time a particular drug retained its potency. A random sample (Sample1 of 10 bottles of the product was drawn from current production and analyzed for potency, A second sample (Sample 2, inde- pendent with first sample) was obtained, stored for year, and then analyzed. The measurements obtained are as follows: Sample 1 10.6 10.2 10.5 10.3 10.8 9.8 10.6 10.7 10.2 10.0 9.9 9.8 9,6 10. 10.2 10 9.7 9.5...
Small Sample Difference of Means. Company officials were concerned about the length of time a particular drug product retained its potency. A random sample of 10 bottles of the product was from the production line and analyzed for potency (labeled FRESH). A second set of 10 bottles was obtained and stored in a regulated environment for 1 year (labeled STORED). The data are given below. You can safely assume the data are distributed normally. FRESH STORED FRESH STORED 9.8 9.5...
Company officials are concerned about the length of time a particular drug retains its potency. A random sample of 9 bottles of the product is drawn from current production and each bottle divided in half. One half was analyzed for potency. The other half was stored for one year, and then analyzed. The readings obtained are as follows. Higher numbers indicate higher potency. Is the mean potency the same after one year? Test at the .05 level of significance. Bottle...
Two random samples are selected from two independent populations. A summary of the samples sizes, sample means, and sample standard deviations is given below: n1= 37 n2=44 x-bar1= 58.6 x-bar2= 73.8 s1=5.4 s2=10.6 Find a 97% confidence interval for the difference μ1−μ2μ1−μ2 of the means, assuming equal population variances.
The following data represent soil water content (percentage of water by volume) for independent random samples of soil taken from two experimental fields growing bell peppers. Soil water content from field I: x1; n1 = 72 15.2 11.3 10.1 10.8 16.6 8.3 9.1 12.3 9.1 14.3 10.7 16.1 10.2 15.2 8.9 9.5 9.6 11.3 14.0 11.3 15.6 11.2 13.8 9.0 8.4 8.2 12.0 13.9 11.6 16.0 9.6 11.4 8.4 8.0 14.1 10.9 13.2 13.8 14.6 10.2 11.5 13.1 14.7 12.5...
(1 point) Test the claim that the two samples described below come from populations with the same mean. Assume that the samples are independent simple random samples. Sample 1: n1 = 18, X1 = 20, $i = 5. Sample 2: n2 = 30, L2 = 15, S2 = 5. (a) The test statistic is (b) Find the t critical value for a significance level of 0.025 for an alternative hypothesis that the first population has a larger mean (one-sided test)....
In semiconductor manufacturing, wet chemical etching is often used to remove silicon from the backs of wafers prior to metalization. The etch rate is an important characteristic in this process and known to follow a normal distribution. Two different etching solutions have been compared, using two random samples of 10 wafers for each solution. The observed etch rates are as follows (in mils/min): Solution 1 Solution 2 9.5 10.6 10.1 10.0 9.4 10.3 10.6 10.2 9.3 10.0 10.7 10.7 9.6...