- It is desired to compare the yields of two different types of wheat seeds. It was observed that an average of 525 kg of product per hectare and an average of 450 kg of product per hectare was obtained in 200 randomly selected fields, where X' type seeds were sown, and an average of 525 kg of product per hectare in 100 randomly selected fields. Since the error of the difference between the means is 13.93, indicate the confidence limits of the difference between the yields of both wheat seeds with 99% probability.

- It is desired to compare the yields of two different types of wheat seeds. It was observed that an average of 525 kg of product per hectare and an average of 450 kg of product per hectare was obtained in 200 randomly selected fields, where X' type seeds were sown, and an average of 525 kg of product per hectare in 100 randomly selected fields. Since the error of the difference between the means is 13.93, indicate the confidence limits of the difference between the yields of both wheat seeds with 99% probability.

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

See similar textbooks

Similar questions

In a production process of metal sticks, the length of these metal sticks is distributed normal with standard deviation of 1.8 millimeter. A random sample of 9 metal sticks are chosen and 99 percent confidence interval is computed with lower and upper bounds of 194.65 and 197.75. The production engineer finds that these bounds are not useful. Instead he wants that these bounds should be 0.50 millimeter larger and less on both sides of the mean with 99 percent confidence interval. Compute the necessary sample size for engineer’s specification.
It is desirable to compare the yields of two different types of wheat seeds. It was observed that an average of 575 kg of product per hectare and an average of 500 kg of product per hectare was obtained in 100 randomly selected fields, where X' type seeds were 2nd - sown, and an average of 575 kg of product per hectare in 400 randomly selected fields. Since the error of the difference between the means is 13.04, indicate the confidence limits of the difference between the yields of both wheat seeds with a probability of 95%. O a) 89.44-150.56 kg O B) 29.45-110.56 kg 39.44-120.56 kg O D) 59.44-110.56 kg TO) 49.44-100.56 kg
what does a standardised residual equal to -2.205 indicate? (a) a poor prediction? (b) an extreme outlier in the residuals? (c) an observation with high leverage?
Help me pls
A clinical trial is run to investigate the effectiveness of an experimental drug in reducing preterm delivery to a drug considered standard care and to placebo. Pregnant women are enrolled and randomly assigned to receive either the experimental drug, the standard drug or placebo. Women are followed through delivery and classified as delivering preterm (< 37 weeks) or not. The data are shown below. Is there a statistically significant difference in the proportions of women delivering preterm among the three treatment groups? Run the test at a 5% level of significance. Give each of the following 1) the appropriate null and alternative hypotheses; 2) the appropriate test; 3) the decision rule; 4) the calculation of the test statistic; and 5) your conclusion including a comparison to alpha or the critical value. Preterm Delivery Total Yes No Experimental Drug Standard Drug Placebo Total 33 40 32 45 13 18 17 35 37 83 120
What is the critical value t* from Table D should be used to calculate the margin of error for confidence interval for the mean of a population if n = 18 observations?
It is desirable to compare the yields of two different types of wheat seeds. It was observed that an average of 575 kg of product per hectare and an average of 500 kg of product per hectare was obtained in 100 randomly selected fields, where X' type seeds were sown, and an average of 575 kg of product per hectare in 400 randomly selected fields. Since the error of the difference between the means is 13.04, indicate the confidence limits of the difference between the yields of both wheat seeds with 99% probability. 9- a) 41.7568-108.8432 O B) 42.3568-109.6432 C) 461.3578-138.6432 O D) 41.3568-108.6432 TO) 51.3568-128.6432
We suspect that Method 1 for detecting impurities in iron ingots yields higher results than Method 2 for finding such impurities. We want to give a 95% confidence interval for the difference in the average number of impurities detected by the two methods. In order to obtain the confidence interval, we measured the impurities of 3 ingots, employing both methods for each ingot. The results are presented in the table below. We let 1 denote the population average number of defects for Method 1 and 2 denotes the population average number of defects for Method 2. We wish to develop a confidence interval for ??=?1−?2μd=μ1−μ2 Give the margin of error for the 95% confidence interval for ??=?1−?2μd=μ1−μ2 Ingot 1 Ingot 2 Ingot 3 Method 1 16 32 12 Method 2 12 26 10
We've seen how to compare the means of two samples with known population variances (refer, for instance, to Example 4 in Recitation 11), but when we need to compare the means of two samples with unknown (but assumed to be equal) population variances, a method called 'variance pooling' needs to be used to find the 'pooled sample variance' that should be used when calculating the confidence interval. The pooled variance is given by si (n1 - 1) + s5 (n2 - Spool = n, +n, -2 with v=n, +n, - 2 degrees of freedom (see page 308 of your e-book). Now look at the example below. Production engineers need to compare the average efficiencies of two production processes. Process 1 and Process 2 are sampled 11 and 15 times and they yielded average efficiencies of 80 and 75 (out of 100), respectively. The sample standard deviations are 6 and 3, again, respectively. Help them construct a 99% confidence interval, assuming that efficiency values are Normally distributed with equal variances. Click here to…
Samples of 400 printed circuit boards were selected from each of two productionlines A and B. Line A produced 40 defectives, and line B produced 80 defectives.Using an estimate for each line, do the data indicate that the two lines produce adifferent fraction of defective circuit boards, with 97% confidence.
A research center claims that 31% of adults in a certain country would travel into space on a commercial flight if they could afford it. In a random sample of 700 adults in that country, 35% say that they would travel into space on a commercial flight if they could afford it. At α=0.10, is there enough evidence to reject the research center's claim? identify the standardized test statisticz= find the P valueP= decide whether to reject or fail to reject the null hypothesis
Guidelines for the Jolly Blue Giant Health Insurance Company claim that the average hospitalization for a triple hernia operation should not exceed 30 hours. A diligent auditor studied records of 16 randomly chosen triple hernia operations at Hackmore Hospital and found a mean hospital stay of 20 hours with a standard deviation of 20 hours. Conduct a hypothesis test to see if the auditor can prove that the average does not exceed 30. (α=.025) Assume that the hospitalization time is normally distributed.