Base on the question, and in my further computation, the possible answers would be the following and I hope you are satisfied with my answer and feel free to ask for more.
- If you want to determine the Thevenin equivalent voltage and resistance without overloading the battery, then apply some known resistance
<span><span>RL</span><span>RL</span></span> and measure the output voltage as <span><span>VL</span><span>VL</span></span>. Measure the voltage without a load as <span><span>V<span>OC</span></span><span>V<span>OC</span></span></span>. The voltage divider equation tells us that
<span><span><span>VL</span>=<span>V<span>OC</span></span><span><span>RL</span><span><span>R<span>TH</span></span>×<span>RL</span></span></span></span><span><span>VL</span>=<span>V<span>OC</span></span><span><span>RL</span><span><span>R<span>TH</span></span>×<span>RL</span></span></span></span></span>
Solve for <span><span>R<span>TH</span></span><span>R<span>TH</span></span></span>, and you know that <span><span><span>V<span>TH</span></span>=<span>V<span>OC</span></span></span><span><span>V<span>TH</span></span>=<span>V<span>OC</span></span></span></span>.
Answer:
The "a" Option is correct.
Explanation:
The "COUNTIF" function counts every cell that, given a condition (value), suits into it. As you want to know the number of cells that contain a value of at least 50, the condition must be properly written to get the correct answer. Unless it is a cell value (e.g. B3), the condition must always be written with quotes (""). So, the options b and c are automatically discarded.
The d option appears to be correct, but it's not. If the condition is written ">50", the function will count every cell with a value above 50. But we're searching values at least (including) 50. So the correct answer is the a option.
Answer:
- from matplotlib import pyplot as plt
-
- with open("text.txt") as file:
- data = file.readlines()
- category = []
- amount = []
- for row in data:
- values = row.split(" ")
- category.append(values[0])
- amount.append(float(values[1]))
-
- figure = plt.figure()
- ax = figure.add_axes([0,0,1,1])
- ax.axis('equal')
- ax.pie(amount, labels = category, autopct='%1.2f%%')
- plt.show()
Explanation:
Firstly, we need to import matplotlib library (Line 1).
Next, open a file stream and use readlines method to read the data from the text file (Line 4). Presume the data read from the text files are as follows:
Rent 450
Gas 150
Food 500
Clothing 120
Car 600
Create two lists, category and amount (Line 5-6). Use a for loop to traverse through the read data and use split method to break each row of data into two individual items. The first item is added to category list whereas the second item is added to amount list (Line 7 - 10).
Next, create a plot figure and then add the axes (Line 12 - 13). We can use the pie method to generate a pie chart (Line 15) by setting the amount list as first argument and category list as value of labels attributes. The output pie chart can be found in the attachment.
Answer:
Explanation:
We can use for-loop in python to calculate the tuition amount in the next 5 years. If the tuition is increasing 3% each year, in each loop we can multiply the amount by 1.03
tuition = 8000
for year in range(1,6):
tuition *= 1.03
print("The tuition amount after " + str(year) + " year(s) is $" + str(tuition))
