What variable do you eliminate?<br> 4x + 8y = 20<br>

Ahmed runs a baked potato stall at the market. He makes a profit of 40c on each potato he sells but he has to pay $50 each day f

Butoxors [25]

Amount of money make(profit) = $(0.40x-50)

3 0

3 years ago

Help with number 19 please

jasenka [17]

Answer:

C) 1

Step-by-step explanation:

Since this a linear table, there has to be a minus or plus. In this case it's +3 or -3. When starting at top, it says 10. Next is 7. The difference is -3. So after is 4. Again, -3. And finally "?" For this you -3 from 4 because it is linear and that is the pattern. The answer is 1. So C is correct

4 0

3 years ago

If I start at 327 how do I get to finish if I have to color in numbers divisible by six

9966 [12]

Try a calculator and doing some googling of numbers divisible by six. There's a great calculator site called calculator soup! ( Yes it's really called calculator soup )

3 0

3 years ago

Please give me the correct answer.ACE,Moderator,Genius,and Expert please help me.

Nadusha1986 [10]

Answer:

Initial value is (0 , 24) or just y = 24

Step-by-step explanation:

Initial value of a linear function is the y intercept

y = -3x + 24

x = 0, y = 24

3 0

3 years ago

Suppose that daily calorie consumption for american men follows a normal distribution with a mean of 2760 calories and a standar

lianna [129]

Answer:

38.11% probability that the mean of her sample will be between 2700 and 2800 calories

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

When the distribution is normal, we use the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean $\mu$ and standard deviation $\sigma$ , the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean $\mu$ and standard deviation $s = \frac{\sigma}{\sqrt{n}}$ .