Quantitative Methods and Analysis

5. In HANESS, the men age 18 and over had an average height of 69 inches and an SD of 3 inches. The histograms is show below, with a normal curve. The percentage of men with heights between 66 inches and 72 inches is exactly equal to the area between (a) and (b) under (c). This percentage is approximately equal to the area between (d) and (e) under the (f). Fill in the blanks.

In the selection process of the HR Manager, four applicants Michael Anderson, Arthur Dougherty, Jane Reynolds and Steven Robinson were called for an interview. Based on their resumes and interviews and the factors identified, I would rate Steven Robinson the highest followed by Arthur Dougherty, Jane Reynolds and Michael Anderson i.e. 9, 8, 7 and 6 on a scale of 10 respectively.

f) To find the probability of each of these answers you would start by dividing the possible successful outcomes by the total number of possible outcomes. In the example E, the question asked for anyone except an administrator, therefore, taking the total amount of people minus the administrator will give you a category for those you want to have picked. After that, you would continue as if you had the successful possibilities divided by all possible

A business wants to estimate the true mean annual income of its customers.  It randomly samples 220 of its customers.  The mean annual income was $61,400 with a standard deviation of $2,200.  Find a 95% confidence interval for the true mean annual income of the business’ customers.

To determine the cost of labor to re-work under filled cases, I divided the hourly rate of the employee ($8.50/hr)

Within this email, I will cover different probabilities within your company. This information can help you to understand whether or not your employees are satisfied with their jobs or not. Also within the results of this survey, you will find that your employees are not distributed equally in terms of gender.

If they get a sample proportion over 24% they are going to shut down their email server. What is the probability this will happen?

d. Since this is a variable pay and not a permanent increase, it does not ensure a long term

With the aim of obtaining the demographic information of the participants, the developer team designed an assessment survey, which was administered along with the achievement test. In it the participants were expected to answer nine questions without provided their names with the intention of remaining anonymous. This nine items of the survey were divided on two section. The first section are question regarding to the participant general information such as gender, age, major,

a.  Among all employees who travel less than the median (54%), find the 95% confidence interval for the proportion who stay with D&Y for at least 3 years.

3) Evaluate the expected value for the discrete possibility variable. (1/18). Where x value begins from 1 to 6.

Researcher wanted to know the number of respondents according to their sexes. Both men and women equally featured in this research.

A Chi-Square test of goodness-of-fit was preformed to check the distribution of individuals across all skills sets. The results showed significant data, therefore, all personnel were not equally distributed in the population, X2 (5, n = 340) = 12.5, p = .029.

The number of employees choosing the attractive applicants over the unattractive applicants and vice versa will be assessed through a chart and bar graph showing attractiveness (independent variable) on the X-axis, and chances of being hired (dependent variable) on the Y-axis. Likewise, the number of employers assigning the more attractive applicants higher GPA’s and vice versa will also be

An employee profile was created using descriptive statistics and statistical estimation. Descriptive statistics is a procedure used