All categories

2 years ago

224 7/10 into a decimal

Mathematics

1 answer:

Sidana [21]2 years ago

8 0

Change into an improper fraction. 2247/10 then divide. So, 224.7. Or since you know 7/10 is 0.7 just add 224

You might be interested in

Problem Solving

Misha Larkins [42]

No. Four times five is twenty, so if Andrea has five five dollar bills, she can afford the tennis shoes. <span />

5 0

3 years ago

What is the domain and range?<br>

fgiga [73]

Answer:

Answer:The domain is all the values that go into a function.and the range is all the values that come out.

6 0

3 years ago

May types 125 words 7.5 minutes.Josh types 65 words in 3mins.Tyler types 400 words in 28 minutes. Order the student from who can

tensa zangetsu [6.8K]

Tyler can type the fastest among the three.

5 0

3 years ago

To which set of numbers does −38 belong?

MariettaO [177]

They belong to the number group of INTEGERS

7 0

2 years ago

Read 2 more answers

The scores of students on the ACT college entrance exam in a recent year had the normal distribution with mean  =18.6 and stand

Maurinko [17]

Answer:

a) 33% probability that a single student randomly chosen from all those taking the test scores 21 or higher.

b) 0.39% probability that the mean score for 76 students randomly selected from all who took the test nationally is 20.4 or higher

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 random variable X, with mean $\mu$ and standard deviation $\sigma$ , the sample means with size n of at least 30 can be approximated to a normal distribution with mean $\mu$ and standard deviation $s = \frac{\sigma}{\sqrt{n}}$

In this problem, we have that:

$\mu = 18.6, \sigma = 5.9$

a) What is the probability that a single student randomly chosen from all those taking the test scores 21 or higher?

This is 1 subtracted by the pvalue of Z when X = 21. So

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

$Z = \frac{21 - 18.6}{5.4}$

$Z = 0.44$

$Z = 0.44$ has a pvalue of 0.67

1 - 0.67 = 0.33

33% probability that a single student randomly chosen from all those taking the test scores 21 or higher.

b) The average score of the 76 students at Northside High who took the test was x =20.4. What is the probability that the mean score for 76 students randomly selected from all who took the test nationally is 20.4 or higher?

Now we have $n = 76, s = \frac{5.9}{\sqrt{76}} = 0.6768$