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3 years ago

Two forms for 7.632 please help me

1 answer:

3 0

7.632 is number form

7 + 0.6 + 0.03 + 0.002 is expanded form

seven point six tenth three hundredth two thousandth is word form

hope this helps

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Use an inequality symbol (<,>,=,<_) to compare -3+7____-10-2

Oliga [24]

Answer:

Step-by-step explanation:

-3+7= 4

-10-2= -12

4> -12

6 0

4 years ago

Given: ABCD is a parallelogram and AC bisects BD.<br> Prove: AB is congruent to BC.

earnstyle [38]

Let's see

In ∆ABE and ∆CBE

BE=BE(Common side)
AE=EC[Diagonals of a parallelogram bisect each other]
<AEB=<BEC[90°]

So by

SAS congruence the triangles are congruent

AB=BC

Proved

Fact:-

It's already given AC is perpendicular to BD

It means diagonals are perpendicular to each other

According to general property of rhombus this parallelogram is also a rhombus.

So sides are equal hence AB =BC

3 0

2 years ago

How does x/2-12=-14 I don’t understand where the negative comes from

goblinko [34]

Solve x by simplifying both sides of the equation & then isolating the variable x=-4 & the negative comes in from the -12

4 0

3 years ago

A confidence interval was used to estimate the proportion of statistics students that are female. A random sample of 72 statisti

jeyben [28]

Answer:

We need a sample of size at least 13.

Step-by-step explanation:

In a sample with a number n of people surveyed with a probability of a success of $\pi$ , and a confidence level of $1-\alpha$ , we have the following confidence interval of proportions.

$\pi \pm z\sqrt{\frac{\pi(1-\pi)}{n}}$

In which

z is the zscore that has a pvalue of $1 - \frac{\alpha}{2}$ .

The margin of error is:

$M = z\sqrt{\frac{\pi(1-\pi)}{n}}$

90% confidence interval: (0.438, 0.642).

The proportion estimate is the halfway point of these two bounds. So

$\pi = \frac{0.438 + 0.642}{2} = 0.54$

95% confidence level

So $\alpha = 0.05$ , z is the value of Z that has a pvalue of $1 - \frac{0.05}{2} = 0.975$ , so $Z = 1.96$ .

Using the information above, what size sample would be necessary if we wanted to estimate the true proportion to within ±0.08 using 95% confidence?

We need a sample of size at least n.

n is found when M = 0.08. So

$M = z\sqrt{\frac{\pi(1-\pi)}{n}}$

$0.08 = 1.96\sqrt{\frac{0.54*0.46}{n}}$