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shepuryov [24]
3 years ago
12

Solve for t. Please helppp

Mathematics
1 answer:
tangare [24]3 years ago
7 0
Answer is t>7


5 Add 5 in both sides
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Which of the following statements are​ false? I. The precision of an estimator does not depend on the size of the population. II
Veseljchak [2.6K]

Answer:The precision of an estimator does not depend on the size of the sample.

Step-by-step explanation: its really is not that hard just find the one you don't think is the right answer

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PIC INCLUDED PLS RESPOND FAST WILL MARK BRAINLIEST
serg [7]

Answer:

the correct answer is -5/8.

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2 years ago
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4/5r = 10<br><br> What is the value of r?
lukranit [14]

Answer:

12.5

Step-by-step explanation:

4/5r=10

multiply each side with 5

4/5r*5=10*5

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8 0
3 years ago
Solve k^2 + 13k + 30 = 0
kogti [31]
K² + 13k + 30 = 0

This is a quadratic equation. Let's attempt solving it by factorization.

Coefficient of k² = 1, last term = 30

Multiply these two together 1*30 = 30

We think of two numbers that multiply to give 30 and add to give the middle term 13.

The two numbers are 3 and 10.

3*10 = 30,   3 + 10 = 13.

we replace the 13k with 3k + 10k

 k² + 13k + 30 = 0

k² + 3k + 10k + 30 = 0

k(k + 3) + 10(k + 3) = 0

(k + 3)(k + 10) = 0

(k + 3) = 0 or  (k + 10) = 0

k = 0 - 3  or  k = 0 - 10

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I hope this helps.
4 0
4 years ago
A study found that 1% of Social Security recipients are too young to vote. If 800 social security recipients are randomly select
GalinKa [24]

Answer:

8, 7.92, 2.81

Step-by-step explanation:

For each Social Security recipient, there are only two possible outcomes. Either they are too young to vote, or they are not. The probability of a Social Security recipient is independent of any other Social Security recipient. So we use the binomial probability distribution to solve this question.

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

The expected value of the binomial distribution is:

E(X) = np

The variance of the binomial distribution is:

V(X) = np(1-p)

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)}

In this problem, we have that:

n = 800, p = 0.01

So

Mean:

E(X) = np = 800*0.01 = 8

The variance of the binomial distribution is:

V(X) = np(1-p) = 800*0.01*0.99 = 7.92

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{800*0.01*0.99} = 2.81

Formatted answer: 8, 7.92, 2.81

6 0
4 years ago
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