Answer:
Step-by-step explanation:
Given
Required
Cost of c cheese and f topping pizza
Solving for c cheese pizza
If 1 cheese pizza costs $6,
c cheese pizza would cost $6 * c
Solving for f topping pizza
If 1 topping pizza costs $10,
f topping pizza would cost $10 * f
Hence:
<em>Hence, the total amount paid is: </em><em></em>
Answer: 1/4 or 0.25
Step-by-step explanation: We will solve log256 4 in several steps to solve for x.
Step 1: Log256 4 = x
Step 2: 256x = 4 ( Next, Use exponents )
Step 3: (2^8)x = 2^2
Step 4: 2^8x = 2^2
Step 5: 8x = 2 (Solve for x0
Step 6: 8x/8 = 2/8 = x = 1/4
Step 7 (The Answer) x, or log256 4 = 1/4 or 0.25
Answer:
60 miles
Step-by-step explanation:
In 1 week Zach will run
6* 5 = 30 miles
Multiply this by 2 for 2 weeks
30*2 = 60 miles
The credit card industry and cigarette industry are very similar in terms of negative influence on personal finances.
<h3>What is credit card?</h3>
A credit card is a sort of payment card that uses a line of credit rather than the account holder's cash deposits to make purchases.
Tobacco use can have a negative impact on personal finances due to the sheer high price of tobacco products, wasted pay owing to sickness absence, plus hospitalization rates due to the higher risk of illness associated with smoking use.
If you let that debt grow, you may find that the amount of interest you owe equals or even exceeds your original principal, forcing you to spend a lot just to pay it off.
Thus, the credit card industry and cigarette industry are very similar in terms of negative influence on personal finances.
Learn more about the credit card here:
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Answer:
NO
Step-by-step explanation:
The changeability of a sampling distribution is measured by its variance or its standard deviation. The changeability of a sampling distribution depends on three factors:
- N: The number of observations in the population.
- n: The number of observations in the sample.
- The way that the random sample is chosen.
We know the following about the sampling distribution of the mean. The mean of the sampling distribution (μ_x) is equal to the mean of the population (μ). And the standard error of the sampling distribution (σ_x) is determined by the standard deviation of the population (σ), the population size (N), and the sample size (n). That is
μ_x=p
σ_x== [ σ / sqrt(n) ] * sqrt[ (N - n ) / (N - 1) ]
In the standard error formula, the factor sqrt[ (N - n ) / (N - 1) ] is called the finite population correction. When the population size is very large relative to the sample size, the finite population correction is approximately equal to one; and the standard error formula can be approximated by:
σ_x = σ / sqrt(n).