All categories

2 years ago

(9.885–0.365)÷1.7+4.4

Mathematics

2 answers:

Vikki [24]2 years ago

8 0

Answer:

The answer is 10

Step-by-step explanation:

BODMAS:

(9.885-0.365)÷1.7+4.4

= 9.52 ÷ 1.7 + 4.4

= 5.6 + 4.4

= 10

Svetach [21]2 years ago

3 0

Answer:

Step-by-step explanation:

This value should be calculated according to BODMAS

BODMAS is the acronym for Bracket, Of, Division, Multiplication, Addition and Subtraction. It says the order in which the calculation is to be performed.

Here we have Bracket so we compute the value in bracket first.

i.e., $9.885 - 0.365 = 9.52$

Now, next at the Order we have division. So $\frac{9.52}{1.7} = 5.6$

Next at the order it is addition. So, $5.6 + 4.4 = 10$

Hence the answer is $10$ .

You might be interested in

Write a polynomial function f of least degree that has rational coefficients, a leading coefficient of 1, and the given zeros.

butalik [34]

I'll try to understand this but I don't really get it because I'm in middle school

6 0

2 years ago

In college basketball, a shot made from beyond a designated arc radiating about 20 ft from the basket is worth three points ins

denis-greek [22]

Answer:

a) By the Central Limit Theorem, the distribution would be approximately normal, with mean $\mu = 0.45$ and standard deviation $s = \sqrt{\frac{p(1-p)}{n}} = \sqrt{\frac{0.45*0.55}{100}} = 0.0497$

b) 4.02 standard deviations below the mean.

c) Making 25 or less shots has a pvalue of -4.02. Z-scores lower than -2 are considered surprising, so yes, it would be surprising for him to make only 25 of these shots.

Step-by-step explanation:

To solve this question, we are going to 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 $s = \frac{\sigma}{\sqrt{n}}$ .

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

For proportions, we have that the mean is $\mu = p$ and the standard deviation is $s = \sqrt{\frac{p(1-p)}{n}}$

In this problem, we have that:

$p = 0.45, n = 100$

a)By the Central Limit Theorem, the distribution would be approximately normal, with mean $\mu = 0.45$ and standard deviation $s = \sqrt{\frac{p(1-p)}{n}} = \sqrt{\frac{0.45*0.55}{100}} = 0.0497$

b)This is Z when X = 0.25.

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

By the Central Limit Theorem

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