Help me please !

Solve equation 6.7 x -2.3=?

boyakko [2]

The answer is -15.41.

7 0

3 years ago

Read 2 more answers

Sarah, Amy and Liam stand on some weighing scales two at a time.

ahrayia [7]

So here is how to solve the problem.
Let us analyze it first.
S + A = 70
S + L = 80
L + A = 80
Since S + L is equal to L + A, this would mean that S = A.
So S + A = 70 So A = 70/2 = 35kg
And lastly L. L= 80 -35 = 45kgs.
Therefore, Liam's weight is 45kgs.
Hope this explanation helps.
Let me know if you need more help next time. Have a great day!

6 0

3 years ago

The population of a city in 2005 was 18,000. By 2010, the city’s population had grown to 45,000. Economists have determined that

tensa zangetsu [6.8K]

2005= 18,000
2010= 45,000

1) make 2005 year "0", and 2010 year "5"
2)in order to solve this problem and figure out the rate of change, we must use the equation for exponential functions y=ab^x
3) a= the y- value of y intercept ( what does y equal when x is zero) in this case a population number so, a= 18,000; b= the unknown rate of change; x= time and since we're finding b we can plug in 5 for the time in years; y= the value of y in terms of the x-value, so when x is 5, y is 45,000
4) you end up with something like this
45,000= 18,000b^5
5) in order to proceed to solve you must get b alone
6) divide both sides by 18,000
7) so you no have 2.5= b^5
8) take the fifth root of both sides
9) now you have your answer b=<span>1.20112443398</span>

6 0

3 years ago

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The average score of all golfers for a particular course has a mean of 71 and a standard deviation of 3. Suppose 36 golfers play

Zielflug [23.3K]

Answer:

.0228

Step-by-step explanation:

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

Normal probability distribution

Problems of normally distributed samples are solved using 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 $s = \frac{\sigma}{\sqrt{n}}$ .