The price charged for the batch of cookies is $8.925
Step-by-step explanation:
Marked price refers to the price at which an establishment offers to sale a product. For-profits to occur, marked price is always more than cost price (cost of producing the item)
Here the local bakery has marked up the price by 155%. This means that the local bakery has increased the marked price by 155% above the cost price accrued to them.
The cost price of the cookies= $ 3.5
Hence the increased marked price= (155/100) *3.5
Increased marked price= $ 5.425
Hence the charge customers need to pay for the cookies= increased marked price + cost price
Charge = $5.425+ $3.5= $8.925
the price charged for the batch of cookies is $8.925
Answer:
Infinite amount of solutions.
General Formulas and Concepts:
- Order of Operations: BPEMDAS
- Regular + Equality Properties
Step-by-step explanation:
<u>Step 1: Define equation</u>
6y + 4 - 3y - 7 = 3(y - 1)
<u>Step 2: Solve for </u><em><u>y</u></em>
- Combine like terms: 3y - 3 = 3(y - 1)
- Distribute 3: 3y - 3 = 3y - 3
- Subtract 3y on both sides: -3 = -3
Here we see that there will be infinite amount of solutions. We can plug in any number <em>y</em> and it will render the equation true.
Answer: 5x+3
Let's go over this problem step by step:
First, you need to combine all the line terms.
2x + 1 + 3x + 2
Next, you get this equation:
( 2x + 3x ) + ( 1 + 2 )
2x and 3x is 5x. 1 and 2 is 3.
So your final answer is 5x+3.
Answer:
hope this helps
the explanation is in the picture
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Answer:
It mean that the observed progeny is similar than the expected progeny. There is no a relationship between the categorical variables.
Step-by-step explanation:
The Chi-squared test is used to test the relationship between categorical variables. A categorical variable is a non-numerical variable. The null hypothesis of the Chi-squared test is that categorical variables are independent; it means that the frequencies are not dependent on the variable. It is important to know that the Chi-squared test does not measure causality, it only measures the relationship. To reject the null hypothesis, you usually need a probability lower than 0.05, but in this case, the probability was way higher than 0.05, it was between 0.5 and 0.9.
