Why we call the standard deviation of the sample statistic asstandard error of the statistic?
1 answer:
You might be interested in
Answer:
Here is the Python program:
COOKIES_PER_BAG = 40 #sets constant value for bag of cookies
SERVINGS_PER_BAG = 10 #sets constant value for serving in bag
CALORIES_PER_SERVING = 300 #sets constant value servings per bag
cookies = int(input("How many cookies did you eat? ")) #prompts user to input how many cookies he or she ate
totalCalories = cookies * (CALORIES_PER_SERVING / (COOKIES_PER_BAG / SERVINGS_PER_BAG)); #computes total calories consumed by user
print("Total calories consumed:",totalCalories) #displays the computed value of totalCalories consumed
Explanation:
The algorithm is:
- Start
- Declare constants COOKIES_PER_BAG, SERVINGS_PER_BAG and CALORIES_PER_SERVING
- Set COOKIES_PER_BAG to 40
- Set SERVINGS_PER_BAG to 10
- Set CALORIES_PER_SERVING to 300
- Input cookies
- Calculate totalCalories: totalCalories ← cookies * (CALORIES_PER_SERVING / (COOKIES_PER_BAG / SERVINGS_PER_BAG))
- Display totalCalories
I will explain the program with an example:
Lets say user enters 5 as cookies he or she ate so
cookies = 5
Now total calories are computed as:
totalCalories = cookies * (CALORIES_PER_SERVING / (COOKIES_PER_BAG / SERVINGS_PER_BAG));
This becomes:
totalCalories = 5 * (300/40/10)
totalCalories = 5 * (300/4)
totalCalories = 5 * 75
totalCalories = 375
The screenshot of program along with its output is attached.
