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Sergio [31]
3 years ago
6

Plsss helppppppp:))))))

Mathematics
2 answers:
Alinara [238K]3 years ago
5 0

Answer:

5

Step-by-step explanation:

because it is asking what minus 9 is equal to -4

adell [148]3 years ago
5 0

Answer:

5

Step-by-step explanation:

5 - 9= - 4

I don't know if this is confusing but you could also just subtract 5 from 9 (9-5) which is 4 and then put a - in front of it

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Which expression is equivalent to (9x - 3 1/8) - (7x + 1 3/8)?
serg [7]
STEPS TO GET THE CORRECT ANSWER:

First write your question like this:
{ ( [9x] [-31/8] ) - ( [7x] [+13/8] ) }

2: You need to subtract 9x and 7x from (9x-31/8)-(7x+13/8) you get 2x. So now you know that the answer has 2x. Eleminate A) and D).

3: Then need to subtract -31/8 from +13/8. You get -11/2.
Turn -11/2 into a mixed number you will get -5 1/2.

4: Put 2x and -5 1/2 together and you would get 2x-5 1/2

But answer C.) is closest to 2x-5 1/2 so the answer is

ANSWER: C.) 2x-4 1/2

8 0
3 years ago
Tom has been given 35 chores to complete today this morning he finished seven of them how many chores does he now have left to d
klio [65]
Simple equation: 35-7=28 chores left to do
7 0
4 years ago
Read 2 more answers
A large university offers STEM (science, technology,engineenng. and mathematics) intemshups to women in STEM majors at the unive
ValentinkaMS [17]

Answer:

a) Probability of a randomly sampled women not being qualified for the internship = 0.223

b) Probability that at least 30 percent of the women in the sample will not meet the age requirement for the internships = 0.03216

c) A woman who does not meet the age requirement is more likely to be selected with a stratified random sample than with a simple random sample.

Step-by-step explanation:

Age | Probability

17 | 0.005

18 | 0.107

19 | 0.111

20 | 0.252

21 | 0.249

22 | 0.213

23 or older | 0.063

a) Only 20+ year olds are qualified for the internship

So, probability of being qualified for the internship = P(x ≥ 20)

Probability of not being qualified for the internship = P(x < 20) = P(x=17) + P(x=18) + P(x=19) = 0.005 + 0.107 + 0.111 = 0.223

b) According to the Central limit theorem, a sampling distribution of sample size as large as 100 selected from this population distribution will approximate a normal distribution. It also has that

Mean proportion of sampling distribution of women who do not meet the internship requirements = Population proportion of women who do not meet the internship requirements = p = 0.223

The standard deviation of the is given by

σₓ = √[p(1-p)/n]

n = sample size = 100

σₓ = √[(0.223×0.777)/100] = 0.041625833 = 0.04163

So, to obtain the probability that at least 30 percent of the women in the sample will not meet the age requirement for the internships

P(x ≥ 0.30)

We first standardize 0.30

The standardized score for any value is the value minus the mean then divided by the standard deviation.

z = (x - μ)/σ = (0.30 - 0.223)/0.04163 = 1.85

The required probability

P(x ≥ 0.30) = P(z ≥ 1.85)

We'll use data from the normal probability table for these probabilities

P(x ≥ 0.30) = P(z ≥ 1.85) = 1 - P(z < 1.85)

= 1 - 0.96784 = 0.03216

c) Probability of women not meeting the internship requirements = 0.223

Probability of women meeting the internship requirements = 1 - 0.223 = 0.777

Or

Probability of women meeting the internship requirements = P(x ≥ 20)

= P(x=20) + P(x=21) + P(x=21) + P(x ≥ 23) = 0.777

But as the stratified sample only contains women who do not meet the internship requirements, it is more likely that A woman who does not meet the age requirement is selected with a stratified random sample than with a simple random sample.

Hope this Helps!!!

4 0
4 years ago
A manufacturer of chocolate chips would like to know whether its bag filling machine works correctly at the 430 gram setting. It
Zanzabum

Answer: We reject H₀  we find that the machine is underflling the bottles

P ( 421 ± 4,3376 )

Step-by-step explanation:

We assume a normal distribution

Population mean 430 grs

Unknown standard deviation

We have a one tail condition "underfilling"

And our test is:

Null hypothesis      H₀         X  =  μ₀

Alternative hypothesis    Hₐ     X  < μ₀

We must use t student distribution and find the interval

X ± t*(s/√n)

In that expession   X is the sample mean  421 grs, "s"  is sample standard deviation, n is sample size, then

421 ±  t * ( 15 / √21 )          (1)

We go to t table and look for t value for  α = 0,1 and df = 21 - 1   df = 20

we get t (remember it is a one tail test)  t = 1,325, plugging this value in equation (1) we get the interval

421 ± 1,325 * ( 15/√21 )    ⇒  421 ±  1,325 * ( 3,2737)

421 ± 4,3376  

421 + 4,3376  = 425,34

421 - 4,3376  = 416,66

As we can see the mean value of the population 430 grs is not inside the interval  [ 416,66 ;  425,34 ] then we can assure the machine is underfilling the bags, and not meeting the setting spec

6 0
4 years ago
WILL MARK BRAINLEST, NEED THE ANSWER ASAP!!!!
PIT_PIT [208]
A. I’m so sorry I cant tell you how to do this part, get a formula chart from the Internet and just plug in the answers.
B. The slope of the ladder is also how it is slanted, if I’m reading it correctly, it’s there slanted part.
C. Much harder omgosh, imagine leaning a ladder up against a strait wall, and then pitting your weight I=on it backwards, here’s a hint you would fall flat on your back.
4 0
3 years ago
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