2. A drug company was concerned about the length of time a its potency. A random...
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...
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...
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...
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...
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...
Is the process in control? Discuss by constructing the mean and range charts. Observation Number Sample # mln 10.1 9.7 10.1 9.9 10.4 10.6 9.5 10.7 9.8 10.1 9.8 10.3 9.2 10.5 10.9 9.9 9.9 10.0 10.4 9.9 10.9 10.5 10.1 10.1 10.3
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 10.710.2 10.0 Sample 2 9.99.89.6 10.1 10.2 10.1 9.7 9.59.6 9.8 Perform a test to determine whether the population means are significantly different from each other at a 05. (a) Perform a test for the homogeneity of variance between the two groups. Please set up the appropriate Ho...
The production of wine is a multibillion-dollar worldwide industry. In an attempt to develop a model of wine quality as judged by wine experts, data was collected from red wine variants. A sample of 20 wines is provided in the accompanying table. Develop a multiple linear regression model to predict wine quality, measured on a scale from 0 (very bad) to 10(excellent) based on alcohol content (%) and the amount of chlorides. Alcohol Chlorides 10.1 0.067 11.8 0.064 9 0.076...
Ms. Blankenship’s tenth grade class is studying the impact of photoperiod on plant growth. Her students fill 100 paper cups with potting soil and a single pea seed. Each cup is randomly assigned to one of four growth chambers. Each of the four growth chambers has an identical artificial light source (25 watts) but each has a different light (L) : dark cycle (D). Chamber 1 is set to 24L : 0D. Chamber 2 is set to 16L : 8D....
Compute the correlation coefficient, r, for all five variables (columns). Interpret your findings whether you have determined any relationship between variables. X1 X2 X3 X4 X5 The data (X1, X2, X3, X4, X5) are by city. 8 78 284 9.1 109 X1 = death rate per 1000 residents 9.3 68 433 8.7 144 X2 = doctor availability per 100,000 residents 7.5 70 739 7.2 113 X3 = hospital availability per 100,000 residents 8.9 96 1792 8.9 97 X4 = annual...