Question 1
The Pie Chart
Figure 1 representing a pie chart
The Bar Graph
Figure 2 representing a pie chart
Question 2
The data in table 1 one below indicates the 15 leading states in nonfuel mineral production in the United States in 2008.
Table 1indicating the leading states in nonfuel mineral production in the United States in 2008
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State Value | Value ($billions) |
Arizona |
8.95 |
Nevada |
6.48 |
Florida |
4.2 |
Utah |
4.17 |
California |
4 |
Texas |
3.8 |
Minnesota |
3.72 |
Alaska |
2.98 |
Missouri |
2.58 |
Colorado |
2.45 |
Michigan |
2.96 |
Wyoming |
2.37 |
Georgia |
2.05 |
New Mexico |
1.81 |
Pennsylvania |
1.68 |
Comments on the Values Generated In the Summary Statistics Table
Table 2 represents the generated summary statistics table. The average value of nonfuel mineral production in the United States in 2008 is 3.613333333. The standard error of the mean is 0.496542011. The number indicates how subsequent experiments can yield a value that is close to the present average value. The median, on the other hand, is 2.98. It represents the middle value obtained after arranging the data in ascending order. The standard deviation of the data is 1.923098938. It represents the level to which each member of the group varies from the average of the data. When the standard deviation is squared, it results in the variance of 3.698309524.
The Kurtosis value of 3.583068724 indicates the degree to which the data possesses a peak value. The value confirms a leptokurtic distribution with significant outliners because it is positive. The skewness of 1.783901443, on the other hand, indicates the degree to which the data varies from the symmetrical bell shape of a normal distribution. In this case, the value indicates that the data is slightly skewed towards the right. The range is the difference between the highest data value and the lowest data value. The difference is 7.27. The minimum data value is 1.68, while the maximum data value 8.95. Count indicates the total number of data values in the data set. In this case, there are 15 data values. The Kth number identifies the specified number. In this case, the first and the last numbers are selected as 8.95 and 1.68. Finally, should you repeat the experiment over and over again, there is a 95% confidence level that the results will vary by no more than 1.06497669 from the present mean.
Table 2, a summary statistics table
Value ($billions) |
|
Mean |
3.613333333 |
Standard Error |
0.496542011 |
Median |
2.98 |
Mode |
#N/A |
Standard Deviation |
1.923098938 |
Sample Variance |
3.698309524 |
Kurtosis |
3.583068724 |
Skewness |
1.783901443 |
Range |
7.27 |
Minimum |
1.68 |
Maximum |
8.95 |
Sum |
54.2 |
Count |
15 |
Largest(1) |
8.95 |
Smallest(1) |
1.68 |
Confidence Level (95.0%) |
1.064976691 |
Question 3
The Histogram
Figure 3: A histogram of sales made by Procter & Gamble
Analysis of the Histogram
The histogram confirms that most sales were between 20.01 million and 25 million the value was achieved 19 times out of the 52 weeks in the year. The highest sells were between 35.01 and 40 million. It was, however, made only once. It was flowed by weekly sales of between 30.01 and 35 that were achieved twice. The frequency of sales 5million above 20.01 and 25 and below was equally attained with eight times each. It reinforces the estimates that the weekly sales are centered between 20.01 and 25 million. However, lower sales of between 10.01 and 15 million were also frequent and were experienced 14 times out of the 52 weeks.
The histogram indicates that the production team needs to maintain an average of 20 million bar soaps per weeks. Those weeks that experiences less sells are likely to be compensated by higher sales in other weeks averaging to a value between 20.01 and 25 million sales. Production above 25 million is likely to result in a large unsold stock. The sales team on the other hand should focus on maintaining or improving from the 20.01 to 25 million sales per week.