The data points given were:
With the true mean calculated as : 24,387.28
Answer:
Given data:
10000,12500,15000,17500,20000,22500,25000,27500,30000,32500,35000,3500,40000,22506,28707,21567,23168,24782,27809,26081,31527,25964,20922,26206,20305,27316,14585,25908,25318,29754,26286,11908,24783,24184,20286,21376,29561,28873
Now to find the mean():
Mean()=sum of
observations/number of observations
=10000+12500+15000+17500+..................................................+20286+21376+29561+28873/38
=90062/38
=23702.16
Therefore the population mean() is
23702.16.
Therefore the probability of seeing rates within 5000 of the true
mean is 24,387.28
Yes,the result correlate to behaviour associated with the standard normal distribution.
The data points given were: With the true mean calculated as : 24,387.28 f. Given the distribution type and parameter...
The data points given were:
With the true mean calculated as : 24,387.28
f. Given the distribution type and parameter what is the probability of seeing rates within ± 5000 of the true mean? Does the result correlate to behavior associated with the standard normal distribution? Show work that supports your answer. Data Packets Per Hr (Bin) Packets Per HR 22506 10000 12500 28707 15000 21567 17500 23168 20000 24782 22500 27809 26081 25000 31527 27500 30000 25964 32500 20922...
We have data (given Below) that shows, the annual sales for four different companies (called company A, B, C and D) for duration of 2000-2010 years. Make two scatter plot for each company's annual sales. In first scatter plot show Linear regression, display its equations and the R-square value. And in the second scatter plot show Exponential Regression, display its equation and the R-square value. For each company answer which regression (linear or exponential) is a better fit for the...
The instructor has also asked me for more 'RAW' data but Iam
unsure exactly where I would go about finding that and wants at
least 10 cases per independant variable and needs a much larger
number.
I have attached the regression data that I did via excel. What I
am having trouble with is explaining the following:
Where should I look to gather raw data?
What are the major results?
What insights do the graphs provide?
What is the importance...
i meed part b andwered
PART A Miller Corporation is a manufacturer of precision drill bits. The following information pertains to operations during the 2018 calendar year. Sales Revenue Direct Factory Labor $13.075,000 3.390,600 314,250 Indirect materials used Indirect Factory Labor Total Depreciation Total Utilities2 Distribution & Customer Service Costs 1,232,250 400,000 525,000 67,600 Insurance on Plant & Equipment Property Taxes 3 Administrative Wages & Salaries Advertising Expenses Sales Commission 85,000 90,000 876.500 77.500 6% of Sales Revenue Of the...