Nt1310 Unit 2 Case Analysis Essay

Choose any GRE score between 200 and 800. Be sure that you do not choose a score that a fellow student has already selected. Using your chosen score, how many standard deviations from the mean is your score? (This value is called the z-value). Using the table above (or the z table in Doc Sharing), what percentage of students will likely get a score below this value?

For children: the BMD is given as a Z score. It compares to the normal range for children of the same age. The Z score curves resembles growth chart curves. A Z score of 0 is similar to the middle line, a Z score of +2 is similar to the highest line and a Z score of -2 is similar to the lowest line. Z scores do not take into account the child’s height or body size.

Reject H0 if z cal is >than the z critical (1.96) or if the z cal is < z critical (-1.96)

$1.52 per gallon and that the standard deviation was $0.05 per gallon. At the .05

I understand the basis of why they scored this way, given they have a type of program in place to help prevent accidents from happening. It is known as the Target Zero initiative, and the main goal is to obtain zero safety incidents at all times. Some of the standout factors I found of this program was that they require a manager that is one level above the current manager that had an incident must also follow up with the individual that was involved in the accident. They also strive

This report outlines the rank, make and model of Sporty Cars/Roadsters and their fuel efficiency. After the completion of necessary test, the following rating information in this PowerPoint presentation features cars with an overall mpg of 27 or higher. Any one interested in fast cars would definitely be interested in this report and the inclusion on the most fuel economic fast cars would be a plus to our customers.

Environmental concerns have been raised from time to time because of the dependency on the gasoline-fueled engine as the chief auto powertrain technology. This has resulted in exposing many automobile users to unpredictable prices of fuel. These issues were, however, the reason for

The hypothesis test is a process that uses sample statistics to test a claim about the value of a populations parameters (Larson & Farber, 2011). To conclude if my bosses claim that the average (mean) body fat of the 252 male SGG members is 20% I conducted a hypothesis test of the statistics I concluded from the body fat and weight sample data complied of the 252 male SGG members. I used case three. My null, Ho: mu = 20 and alternative, Ha: mu 20, tail is 2 and α = 0.05. I used the z-score table to identify the z-score because the sample size is large, and we're comparing one sample to a specific number. The critical value of z two-tailed at alpha = 0.05 is +/- 1.96.

Where Z1-α is the critical value for the confidence interval 1-α. For a 95% confidence interval, α=0.05 and Z = 1.96

Z-test is a statistical way of identifying how certain values or scores differ from the average of two categories that are being looked at in a large sample size. Z-test follow a normal distribution and best to be used with a sample that exceeds 30 and uses proportions for each group. With such test, the null and alternative hypothesis should be stated and the findings reported based on the hypothesis that is accurate either the null or alternative hypothesis.

I did the diagram for the 95% confidence interval which then added the left side of .95 and .025 to get .975. I used InvNorm(.975) and calculated the z score of 1.959963986 and applied the margin of error formula 1.959963986*√62/100*(1-62/100)/100= .0951339949. Once finding the margin of error I applied the formula 62/100-.0951339949 ≤ p ≤ 62/100+.09513399496 and I calculated .5248660051 ≤ p ≤ .7151339949.

The P-value equals P (Z greater or equal to z) =P (Z greater or equal to 3.06) equals .0011. In the case that the P-value is ≤ an alpha of .05, the hypothesis should be rejected. Since the hypothesis tester shown the

A brief note: Statistical software often gives slightly different but more accurate values. Let us stick with the consensus of the majority of people working with elementary statistics and use the critical values given above. Summarized:

As a business that delivers medical parts to patient homes and physician offices, it is important that we have automobiles that are reliable, good quality, safe, easy to maintain, and good quality gas mileage that should save the company money and at the same time good on the environment. We have used SUV’s and compact cars on our fleet before, but we have never had any hybrid cars. Both cars have advantages and disadvantages, but we need to choose an automobile that the company is going to use for the coming years and possibly the future. We are going to

Macroscopic and microscopic scale models. Basic macroscopic emission models estimate emission based on the travel demand models (TDM) or traffic simulation models (TSM) by quantifying total travel distance and link-based average speeds as major variables (Frey and Liu, 2013). In these scenarios, the models failed to involve more rigorous driving activities, such as: instantaneous speed, acceleration profiles etc. to model on-road emissions. Typically, average-speed-based models estimate the emissions and fuel consumption using the trip based average speed of the traffic flow, disregarding the variation of the speed of the traffic flow (Ahn and Rakha, 2008). Most emissions and fuel consumption models were developed with data from dynamometer testing which are sufficiently accurate for macroscopic level emissions inventories. Since these testing are often done under steady state conditions, and so cannot reflect the