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Fiesta28 [93]
3 years ago
11

Which graph represents the system of inequalities?3x+5y<10x−y≤1

Mathematics
1 answer:
Komok [63]3 years ago
4 0

Answer:

I believe it's the one on the bottom left

Step-by-step explanation:

I'm still taking my test so I'll come back later to tell you if it's correct.

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Complete the table.<br><br> Original Price Percent of Discount Sale Price<br> $80 20% $
Svetach [21]

Answer:

$64

Step-by-step explanation:

80x.20=16

80-16=64

3 0
3 years ago
-7 2/3 + (-5 1/3) + 8 3/4=?<br> A: 6 7/12<br> B: -4 5/12<br> C: -21 11/12<br> D: 4 2/3
balandron [24]

Its B

Hope this helps!

May I have brainliest please? :D

4 0
3 years ago
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Aline with a slope of 2 passes through the point (3,9).
azamat

Answer:

WAP

Step-by-step explanation:

ddhghfd WAP

4 0
3 years ago
Dots sells T-shirts ($3) and shorts ($7). In April, total sales were $520. People bought 2 times as many T-shirts as shorts. How
timofeeve [1]

Let's assume

number of shorts is x

we are given

People bought 2 times as many T-shirts as shorts

so, number of T-shirts is 2*x=2x

Dots sells T-shirts ($3) and shorts ($7)

so, total price of T-shirts =3*2x

so, total price of shorts =7x

now, we are given

total sales were $520

so,

total price of T-shirts+total price of shorts = total sales

we will get equation

3*2x+7x=520

now, we can solve for x

13x=520

x=40

so,

number of shorts is 40

number of T-shirts is 2*40=80............Answer


7 0
3 years ago
Read 2 more answers
A researcher wishes to estimate the average blood alcohol concentration​ (BAC) for drivers involved in fatal accidents who are f
Mnenie [13.5K]

Answer:

A 90% confidence interval for the mean BAC in fatal crashes in which the driver had a positive BAC is [0.143, 0.177] .

Step-by-step explanation:

We are given that a researcher randomly selects records from 60 such drivers in 2009 and determines the sample mean BAC to be 0.16 g/dL with a standard deviation of 0.080 ​g/dL.

Firstly, the pivotal quantity for finding the confidence interval for the population mean is given by;

                               P.Q.  =  \frac{\bar X-\mu}{\frac{s}{\sqrt{n} } }  ~   t_n_-_1

where, \bar X = sample mean BAC = 0.16 g/dL

            s = sample standard deviation = 0.080 ​g/dL

            n = sample of drivers = 60

            \mu = population mean BAC in fatal crashes

<em>Here for constructing a 90% confidence interval we have used a One-sample t-test statistics because we don't know about population standard deviation. </em>

So, a 90% confidence interval for the population mean, \mu is;

P(-1.672 < t_5_9 < 1.672) = 0.90  {As the critical value of t at 59 degrees of

                                              freedom are -1.672 & 1.672 with P = 5%}    P(-1.672 < \frac{\bar X-\mu}{\frac{s}{\sqrt{n} } } < 1.672) = 0.90

P( -1.672 \times {\frac{s}{\sqrt{n} } } < {\bar X-\mu} < 1.672 \times {\frac{s}{\sqrt{n} } } ) = 0.90

P( \bar X-1.672 \times {\frac{s}{\sqrt{n} } } < \mu < \bar X+1.672 \times {\frac{s}{\sqrt{n} } } ) = 0.90

<u>90% confidence interval for</u> \mu = [ \bar X-1.672 \times {\frac{s}{\sqrt{n} } } , \bar X+1.672 \times {\frac{s}{\sqrt{n} } } ]

                                       = [ 0.16-1.672 \times {\frac{0.08}{\sqrt{60} } } , 0.16+1.672 \times {\frac{0.08}{\sqrt{60} } } ]

                                       = [0.143, 0.177]

Therefore, a 90% confidence interval for the mean BAC in fatal crashes in which the driver had a positive BAC is [0.143, 0.177] .

7 0
3 years ago
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