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3 years ago

Helpppppp pleaseeee me helpppp

Mathematics

1 answer:

Readme [11.4K]3 years ago

3 0

Answer:

$10 + $10 + $1 + 25¢ + 5¢

$20 + $1 + 25¢ + 5¢

Step-by-step explanation:

Each one must pay $21.30

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The altitude a ( in feet) of a plane t minutes after lift off is given by a=3400t+600

Julli [10]

Answer:

6 minutes

Step-by-step explanation:

'a' in the formula represents altitude in feet. You are told the altitude is 21000 feet, so put that into the formula:

21000 = 3400t +600

You can solve this for t:

20400 = 3400t . . . . . subtract 600 from both sides

6 = t . . . . . . . . . . . . . . . divide both sides by 3400

The problem statement tells you that t represents minutes after lift off, so this solution means the altitude is 21000 feet 6 minutes after lift off.

The question is asking for the number of minutes after lift off that the plane reaches an altitude of 21000 feet, so this answers the question directly:

The plane is at an altitude of 21000 feet 6 minutes after lift off.

4 0

3 years ago

I had $20.00. My Mom gave me $10.00. My Dad gave me $30.00. My Aunt and Uncle gave me $100.00. I had another $1.00 How much did

Ainat [17]

Answer:

161 dollars

Step-by-step explanation:

What we know:

1. beginning value = 20 dollars

2. +10 dollars from mom

3. +30 dollars from dad

4. +100 dollars from aunt and uncle

5. +1 dollar

Add the values

20+10+30+100+1

= 161 dollars

I hope this helps!

5 0

3 years ago

Read 2 more answers

Find 4/1 point from b to a <br> a(-4,-7) b(12,5)

erastovalidia [21]

I would say the answer is B

7 0

3 years ago

A courier service company wishes to estimate the proportion of people in various states that will use its services. Suppose the

Orlov [11]

Answer:

95.44% probability that the sample proportion will differ from the population proportion by less than 0.03.

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 $s = \frac{\sigma}{\sqrt{n}}$ .

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean $\mu = p$ and standard deviation $s = \sqrt{\frac{p(1-p)}{n}}$