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Kruka [31]
2 years ago
8

(I WILL GIVE BRAINLIST!)

Mathematics
2 answers:
True [87]2 years ago
5 0

Answer:

1.4(+2)−10>38=false

2.4( − 1) < 8= true

3.4( + 2) > 8= false

4.2( + 4) ≥ 16=false

Step-by-step explanation:

seraphim [82]2 years ago
5 0
1: false
2: true
3: false
4: false
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Which of the following statements are true?
bezimeni [28]

Answer:

A, B, and C are all true.

Step-by-step explanation:

A. 6 is neither a perfect square nor a perfect cube.   True

B. 16 is a perfect square.   True 4^{2}

C. 27 is a perfect cube.   True 3^{3}

OD. 1,331 is both a perfect square and a perfect cube.   False

E. 9 is a perfect cube.  False

6 0
3 years ago
QUICKK
VLD [36.1K]
3x + 4(2) = 20
3x + 8 = 20
3x = 12
x = 4
(4,2)
You have y=2 then all you need to do is plug 2 into the y in the equation 3x + 4y = 20 and do the math to find x. Hope this helps
7 0
3 years ago
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IceJOKER [234]

Answer:

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6 0
3 years ago
1. The county fair charges $1.25 per Sicket for the rides. Jermaine bought 25 tickets for the rides and spent a
schepotkina [342]

Answer:

A

Step-by-step explanation:

6 0
3 years ago
A data set includes 103 body temperatures of healthy adult humans having a mean of 98.1 F and a standard deviation of 0.56 F. Co
Ira Lisetskai [31]

Answer:

The 99​% confidence interval estimate of the mean body temperature of all healthy humans is (97.955F, 98.245F).

98.6F is above the upper end of the interval, which means that the sample suggests that the mean body temperature could be lower than 98.6F.

Step-by-step explanation:

The first step is finding the confidence interval

The sample size is 103.

The first step to solve this problem is finding how many degrees of freedom there are, that is, the sample size subtracted by 1. So

df = 103-1 = 102

Then, we need to subtract one by the confidence level \alpha and divide by 2. So:

\frac{1-0.99}{2} = \frac{0.01}{2} = 0.005

Now, we need our answers from both steps above to find a value T in the t-distribution table. So, with 102 and 0.005 in the t-distribution table, we have T = 2.63.

Now, we need to find the standard deviation of the sample. That is:

s = \frac{0.56}{\sqrt{103}} = 0.055

Now, we multiply T and s

M = T*s = 2.63*0.055 = 0.145

For the lower end of the interval, we subtract the mean by M. So 98.1 - 0.145 = 97.955F.

For the upper end of the interval, we add the mean to M. So 98.1 + 0.145 = 98.245F.

The 99​% confidence interval estimate of the mean body temperature of all healthy humans is (97.955F, 98.245F).

98.6F is above the upper end of the interval, which means that the sample suggests that the mean body temperature could be lower than 98.6F.

5 0
3 years ago
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