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Monica [59]
2 years ago
8

Helping finding the degrees​

Mathematics
1 answer:
EastWind [94]2 years ago
6 0

Answer: Measure 1 is 54 degrees it is congruent to measure 3. Measure 7 is 90 degrees it is congruent to measure 5.

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how would you multiply negative numbers? or negative fractions for example -12 x 12 is what and please explain good
galina1969 [7]

Answer:-12 x 12 =- 144.

What you do is multiply regularly then add the negative sign, but if your multiplying  2 negatives it’s a positive answer. I cant help with the Fractions caz I’m not good at them lol .

7 0
3 years ago
When rolling two dice , there are blank different ways to roll at least one 4.
Ann [662]

Answer:

3

Step-by-step explanation:

These 3 ways are:

  1. The first die showing a 4 and the second die showing a different number
  2. The second die showing a 4 and the first die showing a different number
  3. Both dice showing 4s
7 0
3 years ago
Read 2 more answers
Which data collections show bias? Check all that apply.
V125BC [204]

Answer:

An insurance company polls drivers of sports cars to find their average number of tickets.

Step-by-step explanation:

It’s bias because they’re only polling people with sports cars

7 0
2 years ago
Read 2 more answers
Betty sets up a lemonade stand and charges $1 per glass. It cost her $50 to set up the stand. Which function gives the profit, p
Maksim231197 [3]
If you would like to find the function that gives the profit Betty makes by selling a number of glasses of lemonade, you can find this using the following steps:

p ... profit
g ... glasses of lemonade

f(g) = p = g * $1 - $50

The correct result would be f(g)<span> = g * $1 - $50.</span>
5 0
3 years ago
Read 2 more answers
Monitors manufactured by TSI Electronics have life spans that have a normal distribution with a variance of 2,250,000 and a mean
Svet_ta [14]

Answer: 0.1357

Step-by-step explanation:

Given : Monitors manufactured by TSI Electronics have life spans that have a normal distribution with a variance of \sigma^2=2,250,000 and a mean life span of \mu=13,000 hours.

Here , \sigma=\sqrt{2250000}=1500

Let x represents  the life span of a monitor.

Then , the probability that the life span of the monitor will be more than 14,650 hours will be :-

P(x>14650)=P(\dfrac{x-\mu}{\sigma}>\dfrac{14650-13000}{1500})\\\\=P(z>1.1)=1-P(z\leq1.1)\ \ [\because\ P(Z>z)=1-P(Z\leq z)]\\\\=1-0.8643339=0.1356661\approx0.1357

Hence, the probability that the life span of the monitor will be more than 14,650 hours = 0.1357

6 0
3 years ago
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