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3 years ago

How many 5/8s are in 3

Mathematics

2 answers:

In-s [12.5K]3 years ago

8 0

Well, in 3 there are 24/8s.
That can fit four 5/8's in it with 4/8s left over.
So your answer is 4

belka [17]3 years ago

6 0

The answer:
3 5/8s are in 3

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3/5 - 3/5= ??? how do i do this problem i'm very confuse because i keep getting 1 1/5 but i know the answer is 0.5 or 0 but do u

Paul [167]

Answer:

-3.5+3.5=0

Step-by-step explanation:

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3 years ago

The National Assessment of Educational Progress (NAEP) gave a test of basic arithmetic and the ability to apply it in everyday l

mylen [45]

Answer:

a) 2.0702

b) 2.07

Step-by-step explanation:

Given:

Sample, n = 840

standard deviation, σ = 60

a) The standard deviation of the sampling distribution, will be:

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

$= \frac{60}{\sqrt{840}}$

= 2.0702

Standard deviation of the sampling distribution is 2.0702

b) According to the 68 part of the 68-95-99.7 rule, 68% of all values of x fall within 1 standard deviation on either side of the unknown mean μ.

Therefore, missing number will be:

$1 * [\frac{\sigma}{\sqrt{n}}]$

= 1 * 2.0702

= 2.0702 ≈ 2.07

6 0

3 years ago

1. If 100% = 80, than 75% = ?

Sindrei [870]

Answer:

Step-by-step explanation:

100% = 80,

75% = 80/100*75= 60

5 0

2 years ago

Read 2 more answers

What is the mode for the data in the rainfall table?<br> A:3.1<br> B:3.65<br> C:3.7<br> D: NO MODE

Hitman42 [59]

Answer:

IS THAT ALL THE QUESTION TELLS YOU? CUZ I THINK I HAVE AN ANSWER

Step-by-step explanation:

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3 years ago

The number of square feet per house is normally distributed with a population standard deviation of 154 square feet and an unkno

11111nata11111 [884]

Answer: (1500.66,1599.34)

Step-by-step explanation:

Confidence interval for population mean:

$\overline{x}\pm z^*\dfrac{\sigma}{\sqrt{n}}$

,where $\overline{x}$ = Sample mean , n= Sample size, z* = critical two tailed z-value , $\sigma$ = population standard deviation.

As per given , we have

n= 16

$\sigma = 154$ square feet

$\overline{x}= 1550$ square feet

$\alpha= 1-0.80 = 0.20$

Critical z-value = $z_{\alpha/2}=z_{0.2/2}=z_{0.1}=1.2815$

Confidence interval for population mean:

$1550\pm (1.2815)\dfrac{154}{\sqrt{16}}\\\\ = 1550\pm (1.2815)\dfrac{154}{4}\\\\= 1550\pm 49.33775\\\\ =(1550-49.33775,\ 1550+49.33775)\\\\\approx (1500.66,\ 1599.34)$

Required confidence interval: (1500.66,1599.34)

6 0

2 years ago