How-to-make-a-Histogram.pptx
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To construct a histogram: 1. Count the number of data points and determine the data range. 2. Calculate the number of classes and the class width by dividing the range by the number of classes. 3. Prepare a tally sheet by summarizing the data within each class interval. 4. Plot the graph with frequencies on the vertical axis and class intervals on the horizontal axis to visualize the data distribution shape.
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![HOW TO DRAW A HISTOGRAM
Steps for constructing a frequency distribution bar graph
are as follows:
1. Count number of data points[n] from data sheet.
2. Compute the range of data[R].
3. Determine the number of classes/interval or class size[K].
4. Compute class/interval width[H] using formula [ H = R/K ]
5. Determine the starting points of intervals.
6. Prepare Tally/Check sheet by summarize data on it.
7. Count number of parts in each intervals i.e. Number of
frequencies within a particular class.
8. Now plot the graph. Place frequencies on vertical axis, and
class intervals on horizontal axis.
9. Interpret the histogram by seeing the shape distribution.
https://techqualitypedia.com/histogram/](https://image.slidesharecdn.com/how-to-make-a-histogram-230422021010-5e36839d/85/How-to-make-a-Histogram-pptx-1-320.jpg)
![Data sheet
Shaft dia measurements against Specification : 9.0 +0.2
9.13 9.1 9.16 9.05 9.15 9.13 9.08
9.15 9.07 9.09 9.1 9.12 9.06 9.11
9.07 9.15 9.12 9.12 9.17 9.08 9.15
9.09 9.11 9.15 9.17 9.12 9.11 9.17
9.12 9.08 9.17 9.13 9.08 9.09 9.14
Number of measurements or data points ‘n’ = 35
Range ‘R’ = [Max. value - Min. value]
= 9.17 – 9.05 = 0.12
https://techqualitypedia.com/histogram/](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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So, P(x) is the store’s total annual profit (in $1,000) based on the number of items sold, x.
1. (List your chosen value for between 100 and 200.)
2. (List what the fixed costs might represent for your fictitious business, and be creative; also list your chosen value for c from the table below).
If your last name begins with the letter
Choose a fixed cost between
A–E
$5,000–$5,700
F–I
$5,800–$6,400
J–L
$6,500–$7,100
M–O
$7,200–$7,800
P–R
$7,800–$8,500
S–T
$8,600–$9,200
U–Z
$9,300–$10,000
3. Important: By Wednesday night at midnight, submit a Word document with only your name and your chosen values for b and c above in Parts 1 and 2. Submit this in the Unit 2 IP submissions area. This submitted Word document will be used to determine the Last Day of Attendance for government reporting purposes.
4. (State that quadratic profit model function’s equation by replacing and with your chosen values.)
5. (Choose five values of (number of items sold) between 500 and 1000. Insert those -values in the table.)
6. Plug these five values into your model for and evaluate the annual business profit given those sales volumes. (Be sure to show all your work for these calculations; complete the table below.)
7. Use the five ordered pairs of numbers from 5 and 6, and Excel or another graphing utility, to graph your quadratic profit model and insert the graph into your Word answer document. The graph of a quadratic function is called aparabola. (Insert graph below.)
8. (Show work details or explain how you found the vertex. Write the vertex in ordered-pair form: .)
9. (Write the explanation and the equation of the line of symmetry.)
10. (Write your quadratic profit function in vertex form, where is the vertex of this quadratic function’s graph. Show the details of how you found this equation.)
11. (State the maximum profit (if any), and show how you determined how many items must be sold to give the maximum profit.)
12. (State how knowing the number of items sold that produces the maximum profit help you to run business more effectively.)
13. (Give an analysis of the results of these profit calculations, and give some ...
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Digital Signal Processing Lab Manual
This document contains information about the Digital Signal Processing lab at Shadan College of Engineering & Technology. It includes:
1. A list of 12 experiments to be conducted in the lab, related to topics like generating signals, implementing filters, and analyzing system responses.
2. An introduction to MATLAB, describing its basic functions and capabilities for numerical computation and signal processing.
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Measures of Relative Standing and Boxplots
Please Subscribe to this Channel for more solutions and lectures
http://www.youtube.com/onlineteaching
Chapter 3: Describing, Exploring, and Comparing Data
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#Prerequisites:
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Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
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- 1. HOW TO DRAW A HISTOGRAM Steps for constructing a frequency distribution bar graph are as follows: 1. Count number of data points[n] from data sheet. 2. Compute the range of data[R]. 3. Determine the number of classes/interval or class size[K]. 4. Compute class/interval width[H] using formula [ H = R/K ] 5. Determine the starting points of intervals. 6. Prepare Tally/Check sheet by summarize data on it. 7. Count number of parts in each intervals i.e. Number of frequencies within a particular class. 8. Now plot the graph. Place frequencies on vertical axis, and class intervals on horizontal axis. 9. Interpret the histogram by seeing the shape distribution. https://techqualitypedia.com/histogram/
- 2. Data sheet Shaft dia measurements against Specification : 9.0 +0.2 9.13 9.1 9.16 9.05 9.15 9.13 9.08 9.15 9.07 9.09 9.1 9.12 9.06 9.11 9.07 9.15 9.12 9.12 9.17 9.08 9.15 9.09 9.11 9.15 9.17 9.12 9.11 9.17 9.12 9.08 9.17 9.13 9.08 9.09 9.14 Number of measurements or data points ‘n’ = 35 Range ‘R’ = [Max. value - Min. value] = 9.17 – 9.05 = 0.12 https://techqualitypedia.com/histogram/
- 3. https://techqualitypedia.com/histogram/ Table-1, for selection of Class size ‘K’ No. of Data No. of Classes ‘K’ Under 50 5-7 50-100 6-10 100-250 7-15 Over 250 10-20 As the data points ‘n’ are 35, which falls under 50, therefore, we can select here classes ‘K’ = 5
- 4. https://techqualitypedia.com/histogram/ Determine the Class width ‘H’ Here we want to make number of classes ‘K’ = 5 Now, calculate the class width by dividing the Range-R, by number of classes-K H = R/K H = 0.12/5 H =0.024 Note: Select ‘H’ such that ‘K’ should lie in between above class table-1.
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- 7. 4 9 11 7 4 10 8 6 4 12 Frequency 2 0 9.05-9.07 9.08-9.10 9.11-9.13 9.14-9.16 9.17-9.19 Class Interval Histogram https://techqualitypedia.com/histogram/