Sample size

spam. a. What is the probability they will get a proportion greater than 0.1836? b. If they get a sample proportion over 24% they are going to shut down their email server. What is the probability this will happen? 2. A survey is done to estimate the proportion of U.S. adults who think that cell phone use while driving should be illegal. In the survey, 54% of a randomly selected sample of 1025 individuals said that cell phone use while driving should be illegal. a. What is the 90% confidence

Introduction to Forensic Psychology Essay 1 Eye Witness Identification Reliability David Chung Bachelor of Social Science (Psychology) 30/08/2016 1898 words Introduction Eyewitnesses are vital in the court of law, first amid law enforcement examinations, subsequently a wellsprings of confirmation when legal proceedings are conveyed to trial. When assessing the reported accounts of eyewitnesses, the relative importance of concern should decide whether it is accurate or inaccurate

So the wages can definitely vary depending on where you live and work. After taking the sample I then checked to see if there was a sampling error. A sampling error is the difference between the data of a sample and the data of the parent population. After taking the mean of the sample which is $45,730 and subtracting the mean of the population from it, $48,730 I got a sampling error of $3,000. After this I checked to see if there was

The exploratory consequences of this calculation demonstrates that in systems of sensors with higher correspondence span, the separation between a sensor and the preparing focus as far as number of jumps is littler than the separation in systems of sensors with bring down correspondence sweep and henceforth there is lesser extent of vitality investment funds. The vitality funds with increment in the quantity of levels in the chain of command are additionally seen to be more noteworthy for bring down

As shown from figure one, the error bars are small which results in a low spread data, that results are more reliable and variable. Smaller error bars demonstrate that the data is situated close to the mean, resulting in similar results from all the replications. Amended had a larger variation in results shown by the standard error was 0.6, whereas the average for other treatments was 0.18, resulting in a larger error bar. Figure 1 – Effect of soil types and management factors on soil organisms

The training and test samples are selected based on the ground truth of the original image of AVIRIS and HYDICE data. B. Result of Feature Extraction And Selection The goal of the feature extraction and selection is to reduce the dimension of the data. In this experiment the dimension of the AVIRIS and HYDICE images reduced to 20 from 220 and 191 respectively using PCA. From the PCA analysis we can see that image of principal component 1 is brightest and sharpest than other PCA image which is illustrated

How well did your calculations of the string’s mass per length compare? Of the changing mass and changing frequency methods, which do you feel gave the best results and why? The different measurement had siginificant differences between them. I think the the changing frequency method gave better results because the graph was more consistent. 2. a) As the tension is increased (without changing anything else), does the number of segments increase or decrease? Decreases b) Explain why. Because

1) Significant figures are important digits (0-9), which expresses the confidence or precision of a quantity. There are four rules regarding significant figures. The first rule states that all non-zeroes are significant. This includes numbers 1 through 9, (7.5 has 2 significant figures). The second rule states that zeroes between non-zeroes are also significant. These zeroes are often referred as placeholders, (8.035 has 4 significant figures). The third rule specifies that leading zeroes are not

PHC 121 Week 7 Assignment 1. Describe the uses of ANOVA and how is it interpreted? In Analysis of variance (ANOVA) is a group of statistical sample used to resolve the differences between group means and their connected steps like variation between groups. The observed variance in a specific variable is divide into components attributable to various fountain of variation. Null hypothesis states that all population means are equal. The alternative hypothesis show that at minimum 1 population mean

this study. The CER cutoff for differentiating Clear from Non Clear RCC sub- types was >0.4751 with a sensitivity and specificity of 100% in the cortical phase and >0.8012 with a sensitivity of 95.8% and specificity of 100% in the nephrographic phase. Yamamoto et al. [14] reported a cutoff value of 0.4 with a sensitivity of 92.1% and specificity of 85.7% in the cortical phase and 0.8 with a sensitivity of 96.8% and specificity of 57.1% in the nephrographic phase. There is agreement in the cutoff