In the article "Nitrate Contamination of Alluvial Groundwaters in the Nakdong River Basin,Korea" (J. Min, S. Yun, et al, Geosciences Journal, 2002:35-46), several chemicalproperties were measured for water samples taken from inrigation wells at three locations.The following table presents the means, standard deviations, and sample sizes for pHmeasurements.LocationLocationUpstreamSample Size493130SD0.2Mean6.0Midstream0.46.4Downstream0.6Do the data prove conclusively that the p differs at the different locations?

Answered: Image /qna-images/answer/a7802a09-945d-43b8-b0e0-8e889cc47908.jpg

Answered: In the article "Nitrate Contamination…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Using the sample data in Table 1 above, determine the mean daily consumption of water. A 244.1lB 262.9lC 240.9lD 252.3l
A production line operates with a mean filling weight of 16 ounces per container. Overfilling or underfilling presents a serious problem and when detected requires the operator to shut down the production line to readjust the filling mechanism. From past data, a population standard deviation σ =0.8 ounces is assumed. A quality control inspector selects a sample of 29 items every hour and at the time makes the decision of whether to shut down the line for readjustment. The level of significance is α=0.05 If a sample mean of = 15.42 ounces were found, what is your calculated test statistic? (keep two decimal places of your answer)
1. The following are absorbance readings obtained from a-glucosidase inhibition assay. Decide if the highest value should be retained or removed from the data set. Report the mean, standard deviation, coefficient of variation, and standard error of the mean for this set of replicate measurement. 3.479 3.463 3.484 3.518 3.444 3.447 3.487 3.510 3.494
Concerns about climate change and CO2 reduction have initiated the commercial production of blends of biodiesel (e.g., from renewable sources) and petrodiesel (from fossil fuel). Random samples of 34 blended fuels are tested in a lab to ascertain the bio/total carbon ratio. (a) If the true mean is .9390 with a standard deviation of 0.0080, within what interval will 95 percent of the sample means fall?
Identify the measures of central tendency and dispersion requested for the sample below. f Relative f Cumulative relative f a. Mode 10 0.137 0.137 b. Median 1 14 0.192 0.329 C. Mean 11 0.151 0.479 d. Range 3 9. 0.123 0.603 е. Variance 0.110 0.151 4 8 0.712 Standard deviation 11 0.863 10 0.137 1.000 SUM 73 1.000
If a Type I error is made, what conclusion will be drawn regarding the mean breaking strength?
200 people were randomly sampled and asked what they regularly eat for breakfast or lunch. Each person was identified as either a consumer or a non consumer of high-fiber cereals, and the number of calories consumed at lunch was measured and recorded. These data are summarized below; Consumer of high fiber cereals Non consumer of high fiber cereals η1 =41 η2 = 159 Mean 1 =603 Mean 2 =639 Stanadard deviation 1 = 110 Standard deviation 2 = 141 If the scientist claims that people who eat high fiber cereals for breakfast do consume on average fewer calories for lunch than people who don’t eat high fiber cereals for breakfast, and if it is true, high fiber cereal manufacturer will be able to claim another advantage of eating their products-potential weight reduction for dieter. REQUIRED Are there sufficient evidence at 5% significance level to support the above claim?
3. At a land farm, a farmer desired to test the effect of a given fertilizer on soybean production. He chose 24 plots of land of which are equal surface area. He treated 12 plots with the fertilizer and the others were untreated. Otherwise the conditions were the same. The treated plots produced soybean with mean yield 5.1 bushels and a standard deviation of 0.36 bushels, while the untreated plots had mean yield 4.8 bushels and a standard deviation of 0.40 bushels. (a) Can we conclude that there is a significant improvement in soybean production because of the fertilizer if a significance level of 1% is used? (b) What is the P-value of the test?
Methyl t-butyl ether (MTBE) is an organic water contaminant that often results from gasoline spills. The level of MTBE (in parts per billion) was measured for a sample of 12 well sites located near the ship channel during a recent spilI. The data are: 150, 376, 38, 12, 11, 134, 12, 251, 63, 8, 13, 107. (a) Find the sample mean and the sample standard deviation. (b) Construct and interpret a 91.85% and 98.15% confidence interval for the population mean by using the following equations: B, = x – t - - and By = x +t N sample N sample (c) Which confidence interval is wider and why?
QUESTION 2 A minimum mileage guarantee on the tires of a tire manufacturing company is being considered to be set. When the company conducted many tire tests, it revealed that the mean mileage has a normal distribution with mean 2,752 and standard deviation 119. The tire manufacturer wants to set the minimum guaranteed mileage so that no more than 2.5 percent of tires will have to be exchanged. Calculate the Lower limit of guaranteed mileage? (Round answer to two decimal places ex. 2.09)
let x be a normal ramdom variable with a mean =169.5 and standard deviation =4.2 ramdom samples of fixed size n=30 are drawn from the distribution, mean, standard deviation od sample mean
In a machining process, diameter of a product is of concern as a quality characteristic. Control charts are to be constructed to control the mean diameter quality characteristic. Suppose that the machining process operates with a mean diameter of 5.00 mm and a known standard deviation of o=0.09 mm. Samples of size n=9 parts will be used for the control process. a) Determine the Upper and Lower Control Limits (UCL and LCL) for the 30 control chart to be used to control mean diameter based on the sample means. UCL= LCL= b) Suppose 7 samples (each with size n=9) are taken from the process and their mean values determined as below. Indicate the sample mean which is out of control. ₁5.01, 4.90, 4.96, 5.05, 4.89, 5.095, 4.965 Sample means out of Control- Type of Error= c) If a sample mean of 5.11 is obtained and found that it is outside the control limits, the process will be stopped for corrective action because the control chart signals that the process is out of control, while the process…

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