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Aleksandr [31]
3 years ago
11

PLEASEE HELPP

Mathematics
2 answers:
eduard3 years ago
6 0
X=-6 and x=1/3 are both correct values so A and D
Nimfa-mama [501]3 years ago
3 0

Answer:

A. and D.

Step-by-step explanation:

Just took it. Edg 2020. Hope this helps :)

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I need help with 14, 15, and 16 please!!
stellarik [79]

Answer:

so 80 plus 20 is a 100

Step-by-step explanation:

thats it

7 0
3 years ago
Evaluate 5p+cd when c=1/5 and d=15
Anna [14]

Answer: If solving for P it is p = -3/5

If you are just wanting the equation it is 5p+3


Step-by-step explanation: Plug in c and d into 5p+cd

You get 5p+(1/5)(15)

Once done with the math it is 5p+3


7 0
3 years ago
Evaluate.4 2 – 6+2 +3 =
Charra [1.4K]
4^2-6\text{ / 2 + 3 = ?}4^2\text{ - }\frac{6}{2}\text{ + 3 = ? }\Rightarrow\text{ 16 - 3 + 3 = ?}

16 - 3 + 3 = 16

3 0
1 year ago
Please help me
Alexandra [31]

Answer:

x = 152.6

Step-by-step explanation:

180 - 27.4 there you go

7 0
3 years ago
Read 2 more answers
The number of undergraduates at Johns Hopkins University is approximately 2000, while the number at Ohio State University is app
Likurg_2 [28]

The remaining part of Question:

4) what can we conclude about sampling variability in the sample proportion calculated in the sample at John Hopkins as compared to that calculated in the sample at Ohio State.

5) The number of undergraduates at Johns Hopkins is approximately 2000 while the number at Ohio State is approximately 40000, suppose instead that at both schools, a simple random sample of about 3% of the undergraduates Will be taken.

Answer:

4) The sample proportion from Johns Hopkins will have about the same sampling variability as that from Ohio State

5) The sample proportion from John Hopkins will have more sampling variability than that from Ohio State

Step-by-step explanation:

Note: The sampling variability in the sample proportion decreases with increase in the sample size.

4) since the sample size at both Johns Hopkins and Ohio State is the same (i.e. n = 50), the sample variability of the sample proportion will be the same for both cases.

5) 3% of the population are selected for the observation in both cases.

At Johns Hopkins, sample size, n = 3% * 2000

n = 60

At Ohio State, sample size, n = 3% * 40000

n = 1200

Since sampling variability in the sample proportion decreases with increase in the sample size, the sampling variability in sample proportion will be higher at Johns Hopkins than at Ohio State.

5 0
3 years ago
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