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earnstyle [38]
3 years ago
15

Please answer If I get this right I'm done for the week I will give brainiest if you're right!!!

Mathematics
2 answers:
Evgen [1.6K]3 years ago
6 0

Answer:

they are not equivilent

Step-by-step explanation:

Hatshy [7]3 years ago
4 0

Answer:

The answer is true.

Step-by-step explanation:

\frac{4}{6}  =  \frac{14}{21}  \\ 84 = 84

Because the last equation, 84=84, is true, then the ratios are true.

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Determine whether the following sampling is dependent or independent. Indicate whether the response variable is qualitative or q
Margarita [4]

Answer:1. Dependent

2.Qualitative Variable

Step-by-step explanation:

Step 1--- Dependent

Reason-- The researcher considers a couple as a whole and The sampling is dependent because a spouce selected for one sample dictates or determines which individual to be in the second sample.

Step 2----Qualitative variable

Reason--- it classifies the individual spouce mental health based on mental health inventory of the couple

Because Qualitative variables are variables which can be placed according to characteristic or attribute, here the characteristics is mental health.

7 0
3 years ago
Read 2 more answers
Find the common ratio of the geometric sequence 4, -20, 100, -500, ...
asambeis [7]

Answer:

r = -5. Find the pattern and write the recursive formula: a_n + 1 = - 5 a_nGiven the recursive formula: r =

6 0
2 years ago
Helpppppppppppp ASAP THANKS
strojnjashka [21]

Answer:

c or d

Step-by-step explanation:

4 0
3 years ago
Read 2 more answers
One half of the number n increased by 10 is the
gtnhenbr [62]

Answer:

Step-by-step explanation:

\frac{n}{2} +10=2n-4

3 0
3 years ago
The number of failures of a testing instrument from contamination particles on the product is a Poisson random variable with a m
photoshop1234 [79]

Answer: 0.1353

Step-by-step explanation:

Given : The mean of failures =  0.025 per hour.

Then  for 8 hours , the mean of failures = \lambda=8\times0.25=2 per eight hours.

Let X be the number of failures.

The formula to calculate the Poisson distribution is given by :_

P(X=x)=\dfrac{e^{-\lambda}\lambda^x}{x!}

Now, the probability that the instrument does not fail in an 8-hour shift :-

P(X=0)=\dfrac{e^{-2}2^0}{0!}=0.1353352\approx0.1353

Hence, the the probability that the instrument does not fail in an 8-hour shift = 0.1353

7 0
3 years ago
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