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3 years ago

If you subtract a negative number to another negative number do you get a positive answer or negative?

Mathematics

1 answer:

sukhopar [10]3 years ago

5 0

Answer:

Negative

Step-by-step explanation:

Because Depending on which number is the biggest it's negative and the rules say the same signs add different subtract and keep the sign of the bigger number so

positive minus a negative= positive (6-3=3)

negative-positive= negative (-10+5= -5)

Example: What is 6 − (−3)? Yes indeed! Subtracting a negative is the same as adding!

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What are some real life examples of sequence? is calendar a real life example of sequence?

zubka84 [21]

Answer:

yes, the dates in the calendar also makes a sequence.

real life example of sequence are,

1.the salary of a person increases by 500 every year

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3 years ago

A cactus casts a

IgorC [24]

Answer:

It’s 81862

Step-by-step explanation:

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3 years ago

How many regions can be found at the left side of the normal distribution curve?

vaieri [72.5K]

Answer: it’s c.3

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Step-by-step explanation:

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3 years ago

At a sale, you purchased a $20 scarf for $15. What<br> was the percent of change?

sammy [17]

The scarf was 25% off
20 - 15 = $5
20 divided by 5 = 4
So it was 1/4 off which equals 25%

4 0

3 years ago

A random sample of 1000 people was taken. Four hundred fifty of the people in the sample favored Candidate A. The 95% confidence

KatRina [158]

Answer:

The 95% confidence interval would be given (0.419;0.481).

Step-by-step explanation:

Data given and notation

n=1000 represent the random sample taken

X=450 represent the people in the sample favored Candidate A

$\hat p=\frac{450}{1000}=0.45$ estimated proportion of people in the sample favored Candidate A

$\alpha=0.05$ represent the significance level

Confidence =0.95 or 95%

p= population proportion of people in the sample favored Candidate A

Solution to the problem

The confidence interval would be given by this formula

$\hat p \pm z_{\alpha/2} \sqrt{\frac{\hat p(1-\hat p)}{n}}$

For the 95% confidence interval the value of $\alpha=1-0.5=0.05$ and $\alpha/2=0.025$ , with that value we can find the quantile required for the interval in the normal standard distribution.

$z_{\alpha/2}=1.96$

And replacing into the confidence interval formula we got:

$0.45 - 1.96 \sqrt{\frac{0.45(1-0.45)}{1000}}=0.419$

$0.45 + 1.96 \sqrt{\frac{0.45(1-0.45)}{1000}}=0.481$

And the 95% confidence interval would be given (0.419;0.481).

We are confident (95%) that about 41.9% to 48.1% of the people are favored Candidate A.

3 0

3 years ago