Graphic design is a field that is constantly growing, and as it grows the average wage continues to change. Graphic designers create visual concepts to communicate ideas to customers. Some of the responsibilities of being a graphic designer are creating recognizable logos for companies or creating advertising. Being a graphic design major, I was interested in seeing what the average income was for graphic designers. I discovered that most graphic designers work full time, but 29% of graphic designers worked free lance. After some research I was able to gather enough data to find out not only what the average income was, but also the average income for the state. The population of the graphic design annual wage is 50, for the 50 …show more content…
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 a non-sampling error, which is an error made from human mistakes. A non-sampling error can be found by subtracting the a new sampling error from the original sampling error. Even though I used random sampling there could still be an non-sampling error, and after conducting a second sample from the population I got $3,612 as my new sampling error. After subtracting my original sampling error I got a non-sampling error of $612. Which means that there was a sampling error of $612 above the average. After statistical analysis, I determined that the mean of the sample was $45,730 and the standard deviation was 6605.1917. So that would make the point estimate the mean of the sample, and you could infer from the sample that this was the mean of the population. After inferring from the sample the standard deviation of the population should be 6605.1917 also.
The histogram is in a bell-shaped
2) Compute the standard deviation for each of the four samples. Does the assumption of .21 for the population standard deviation appear reasonable?
So, we have a distribution with a mean of 20,000 and a standard deviation of 5,102.
2. In order to determine the average amount spent in November on Amazon.com a random sample of 144 Amazon accounts were selected. The sample mean amount spent in November was $250 with a standard deviation of $25. Assuming that the population standard deviation is unknown, what is a 95% confidence interval for the population mean amount spent on Amazon.com in November?
b) In order to calculate the mean or average for the governors and CEO’s, I added together all the figures and divided that sum by 4 since there
(21) You took a sample of size 21 from a normal distribution with a known standard deviation, . In order to find a 90% confidence interval for the mean, You need to find.
Let’s assume you have taken 1000 samples of size 64 each from a normally distributed population. Calculate the standard deviation of the sample means if the population’s variance is 49.
Decision Rule: The calculated test statistic of -3.024 does fall in the rejection region of z<-1.645, therefore I would reject the null and say there is sufficient evidence to indicate mu<50.
Short Answer Writing Assignment – Both the calculated binomial probabilities and the descriptive statistics from the class database will be used to answer the following questions.
Population A and Population B both have a mean height of 70.0 inches with an SD of 6.0. A random sample of 30 people is picked from population A, and random sample of 50 people is selected from Population B. Which sample mean will probably yield a more accurate estimate of its population mean? Why? Despite, both Population A and Population having a mean height of 70.0 inches with an SD of 6.0, Population B will
Looking at the data, there needed to be some deleting and altering of the data. Some years had to be deleted from the data set because the number of records for those years were too low. There were single entries for years 1809,1810,1812,1863 and 1864. These entries were deleted from the data set. The year 1932 and the years 1948-1999 were also deleted. The year 1932 only had 15 records, so the number of records was too low. 1948-1997 were deleted because those years only had between 1 and 21 records so they were deleted because they were too low. The number of records was < 30 so we discarded these years. The sample sizes for these years were small and the data would not fit a normal distribution.
The customers in this case study have complained that the bottling company provides less than the advertised sixteen ounces of product. They need to determine if there is enough evidence to conclude the soda bottles do not contain sixteen ounces. The sample size of sodas is 30 and has a mean of 14.9. The standard deviation is found to be 0.55. With these calculations and a confidence level of 95%, the confidence interval would be 0.2. There is a 95% certainty that the true population mean falls within the range of 14.7 to 15.1.
Fry Brothers heating and Air Conditioning, Inc. employs Larry Clark and George Murnen to make service calls to repair furnaces and air conditioning units in homes. Tom Fry, the owner, would like to know whether there is a difference in the mean number of service calls they make per day. Assume the population standard deviation for Larry Clark is 1.05 calls per day and 1.23 calls per day for George Murnen. A random sample of 40 days last year showed that Larry Clark made an average of
Along with it being easy to master, graphic design can also supply a large amount of money. This is because there are so many websites dedicated to it. As said before, putting designs on numerous websites increases the chances that someone will buy them. Certain websites even have different prices, which is actually a very good point. Some websites will sell designs for up to $30.00, while some only $5.00 or $10.00 dollars. It is a statistical fact that most people will buy cheaper designs, while some people still buying expensive ones. Either way, both websites will generate the same amount of profit. To go along with this, average graphic designers in America today make over $40,000 a year. That is a more than the average salary of an American today, just for doing barely any work. In some cases, graphic designers can make over $60,000 a year, an outrageous salary for doing barely any work. Graphic design is a very easy way to earn money, but it is also a great way to save money. Most websites have services that give a rewards for posting designs. Posting designs can usually make posters and t-shirt designs cheaper and easier to buy. Many websites similar to Redbubble do this. To along with saving money, making custom designs can do this as well. It would be a waste of money to buy an expensive poster or t-shirt design, when creating a custom one is so easy.
The 95% confidence interval for the population mean is 66,438 to 80,241. This means that there is a 95% confidence that this interval has the population mean.
In this project we were given the case of customer complaints that the bottles of the brand of soda produced in our company contained less than the advertised sixteen ounces of product. Our boss wants us to solve the problem at hand and has asked me to investigate. I have asked my employees to pull Thirty (30) bottles off the line at random from all the shifts at the bottling plant. The first step in solving this problem is to calculate the mean (x bar), the median (mu), and the standard deviation (s) of the sample. All of those calculations were easily computed in excel. The mean was computed by entering: