What problem or opportunity is the project addressing

Answer:

7+m

Explanation:

7 miles last year m number of miles this year. to find the total add them

Answer:

y=0.25x-9

Explanation:

y=mx+b is the slope-intercept form

y=dependent variable

m=slope

x=independent variable

b= Y-intercept

_____________________________

Graph points

(1,-8.75)

(2,-8.5)

Answer:

48

Explanation:

(assuming these measurements are the legnth, width and height)

Volume is Length x Width x Height.

4 x 6 x 2 = 48

Your project will be completely defined from beginning to end by a problem statement or opportunity statement. Issue Statement: You want to update or improve an existing procedure or service.

Opportunity in relation to a project mostly refers to the value expected from the project output. Initial cost and outcome projections lead to a value expectation that is greater than the project's cost. This disparity may suggest a modestly reasonable prospect or one that is outrageously idealistic.

Therefore, Opportunity Statements are useful when developing new procedures or services.

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If numbers add up, they reach the predicted total; they make sense. If the numbers don't add up, the overall sum doesn't make sense in light of the individual sums.

Only 17 + 19 - 5 = 31 can be used to "add" three of the given numbers to the number 31.

Only these sums can be created from 3 of the numbers if only positive signs are permitted.

{10, 22, 24, 24, 25, 26, 27, 38, 39, 41}

Any of these sums can be earned if either positive or negative signs are permitted.

{1, 3, 4, 5, 6, 7, 9, 10, 11, 12, 14, 15, 16, 17, 18, 19, 20, 21, 22, 24, 25, 26, 27, 31, 33, 34, 38, 39, 41}.

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The calculated value of P(F|E) is 0.4.

Then the conditional probability that the event  will occur given that  has already occurred is given by the following formula:

P(B|A) = (P(A∩B)) / P(A)

Here the two events given are E and F .

P(E and F) or P(E∪F) = 0.3

and P(E)= 0.7

As per the above formula that we have already discussed, the formula can be written as:

P(F|E) = P(E ∩ F) / P(E)

P(F|E) =0.3/0.7

P(F|E) = 3/7

P(F|E) = 0.4

The capital letters E and F in the discussion that follows stand in for potential experiment results, and P(E) denotes the likelihood that outcome E will be seen. The results of E or F can be listed as the results of E followed by the results of F for events that don't happen simultaneously.

If knowing whether A happened has no effect on the likelihood that B will also occur, then events A and B are independent. Mathematically, the following statements are equivalent: P(A and B) = P(B A) = P(B) P(B|A) = P(B) (A).

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A manufacturer of banana chips would like to know whether its bag filling machine works correctly at the 447.0 gram setting.

So, Null hypothesis :447

It is believed that the machine is under filling the bags

So, Alternate hypothesis :

n = 41

Population standard deviation =

 x = 443

We will use z test since n > 30 and we are given the population standard deviation.

Use z table to find p value

z =  443 - 447/ 21/ √41

z = - 1.2196

p value = 0.1131

α = 0.02

p value > α

So, we fail to reject null hypothesis.

So, its bag filling machine works correctly at the 447.0 gram setting.

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Using the knowledge in computational language in python it is possible to write a code that deposits the cash in his checking account at the Bank of Uchenna.

class Bank_Account:

   def __init__(self):

       self.balance=0

       print("Hello!!! Welcome to the Deposit & Withdrawal Machine")

   def deposit(self):

       amount=float(input("Enter amount to be Deposited: "))

       self.balance += amount

       print("\n Amount Deposited:",amount)

   def withdraw(self):

       amount = float(input("Enter amount to be Withdrawn: "))

       if self.balance>=amount:

           self.balance-=amount

           print("\n You Withdrew:", amount)

       else:

           print("\n Insufficient balance  ")

   def display(self):

       print("\n Net Available Balance=",self.balance)

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