/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 997 Find the mean salary for four co... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

Find the mean salary for four company employees who make \(\$ 5 / \mathrm{hr} ., \$ 8 / \mathrm{hr}, \$ 12 / \mathrm{hr}\), and \(\$ 15 / \mathrm{hr}\).

Short Answer

Expert verified
The mean salary for the four company employees is \(\$10/hr\).

Step by step solution

01

Add the hourly salaries

First, we need to add the hourly salaries of all four employees: \(\) \$5 + \$8 + \$12 + \$15 \(\)
02

Calculate the sum

Calculate the sum of the added hourly salaries: \(\) \$5 + \$8 + \$12 + \$15 = \$40 \(\)
03

Find the mean salary

Now, to find the mean, we need to divide the sum of the hourly salaries by the number of employees, which is 4. \(\) Mean Salary = \(\frac{\$40}{4}\) \(\)
04

Calculate the mean salary

Calculate the mean salary: \(\) Mean Salary = \(\frac{\$40}{4} = \$10\) \(\) The mean salary for the four company employees is $10/hr.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Understanding the Mean Arithmetic Average
Calculating the mean, or arithmetic average, is a fundamental statistical process used to find the central value among a set of numbers. When dealing with salaries or wages, understanding how to compute the mean can provide insights into the overall compensation level of a group.

To calculate the mean salary, we sum up all individual salaries and then divide this total by the number of salaries we've added. This process gives us an average value that represents the typical salary within the group. The mean is sensitive to very high or very low numbers within the data set, known as outliers, which can skew the average. Despite this, it remains a valuable measure for comparison and analysis.

In our exercise, the mean gives us an average hourly salary for the employees, which is particularly helpful when the salaries are varied. It simplifies the dataset to a single representative number, making it easier to communicate and understand the general wage level.
The Process of Adding Hourly Salaries
When computing the mean salary, we start by adding together the hourly wages of each employee. This step is crucial because it forms the basis for the mean calculation. It's essential to carefully sum up each employee's hourly wage to ensure accuracy.

In our example, we add the hourly salaries of four different employees. Using a simple arithmetic addition, we get the total sum of wages that will be used to find the average. This total sum reflects the combined earnings of all employees per hour if their salaries were distributed equally.

Accuracy Is Key

When adding salaries, it's essential to double-check your calculations to avoid any errors. Even a small mistake in addition can lead to a significant error in the final mean salary calculation. In cases where the hourly salaries have decimal places or cents, extra caution should be taken to maintain precision.
Dividing the Sum by the Number of Employees
The final step in finding the mean salary involves dividing the total sum of the hourly salaries by the number of employees. This division equally distributes the total sum across all individuals to find the average.

In our exercise, after adding up the hourly salaries, we divide the result by four since there are four employees. This step is straightforward yet vital as it finalizes the mean salary calculation. The resulting quotient is the mean, which tells us the average hourly wage per employee if all earned the same amount.

The concept of dividing a total by the number of items (in this case, the number of employees) is a foundational principle in statistics that allows us to understand averages. This method can be applied to various situations beyond calculating salaries, such as analyzing test scores, measuring average temperatures, or assessing average sales prices. Understanding this principle is key to interpreting data accurately in numerous fields.

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Most popular questions from this chapter

The Selective Service director of a certain state suspects that the proportion of men from urban areas who are physically unfit for military service is more than 5 percentage points greater than the proportion of physically unfit men from rural areas. He decides to treat the men called for a physically examination from urban areas during the next month as a random sample from a binomial population, and those from the rural areas as a random sample from a second binomial population. During the next month 3214 men were called from urban areas and 2011 from rural areas. There were 1078 physical rejects from the urban areas and 543 from rural areas. Formulate the appropriate null and alternative hypotheses, and test the null hypothesis at the \(\alpha=.05\) level.

If \(Z\) is a standard normal variable use the table of standard normal probabilities to find: (a) \(\operatorname{Pr}(Z<0)\), (b) \(\operatorname{Pr}(-12.54)\).

Find a 95 per cent confidence interval for \(\mu\), the true mean of a normal population which has variance \(\sigma^{2}=100 .\) Consider a sample of size 25 with a mean of \(67.53\).

Let \(\mathrm{X}\) be a random variable whose value is determined by the flip of a fair coin. If the coin lands head up \(\mathrm{X}=1\) if tails then \(\mathrm{X}=0\). Find the expected value of \(\mathrm{X}\).

A collage has 500 women student and 1,000 men students. The introductory zoology course has 90 students, 50 of whom are women. It is suspected that more women tend to take zoology than men. In deciding to test this suspicion with the data of this class, what would the null and alternate hypotheses be? Is this a one-sample or a two sample case?

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