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4 years ago

PLEASE HELP

Mathematics

2 answers:

Nataly [62]4 years ago

8 0

Answer:

a,c,b,b,

Step-by-step explanation:

i don't know if i am totally sure but go ahead and try it

Bingel [31]4 years ago

4 0

Answer:

1.d

2.a

3.c

4.b

Step-by-step explanation:

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How to write in standard form

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Wen you write in standard form, that means you're writing it in number form. For example, instead of writing "eighty-two", you'll write "82". ;-)

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4 years ago

A car started driving from city A to city B, distance between which is 620 miles, at a rate of 60 mph. Two hours later a truck l

Amanda [17]

Answer:

60·(x + 2) = 620 - 40·x --> x = 5

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3 years ago

Read 2 more answers

If Charles lost 20 pounds, he would weigh seven times as much as his dog. Together they weigh 200 pounds. How much does each wei

barxatty [35]

Answer: Weight of Charles = 177.5 pounds

Weight of dos = 22.5 pounds.

Step-by-step explanation:

Let x = Weight of Charles

y = Weight of dog.

As per given , we have the following system of linear equation :

$x+y=200--------(i)\\\\x-20=7y-----------(ii)$

We can write (ii) as :

$x-7y=20---(iii)$

Subtract equation (iii) from (i) , we get

$8y=180\\\\ y=\dfrac{180}{8}=22.5$

Put this value in (1) , we get

$x+22.5=200\Rightarrow\ x=200-22.5=177.5$

Hence , Weight of Charles = 177.5 pounds

Weight of dos = 22.5 pounds.

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3 years ago

1.3 in place value. Please

Liula [17]

One and 3 tenths is the answer

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4 years ago

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A researcher wanted to see if giving a selective serotonin reuptake inhibitor (anti-depressant) would decrease the number of sel

Delvig [45]

Answer:

a. The mean of the sample is M=35.

The variance of the sample is s^2=39.125.

The standard deviation of the sample is s=6.255.

b. z=-1.6

c. SEM = 2.212

Step-by-step explanation:

The mean of the sample is M=35.

The variance of the sample is s^2=39.125.

The standard deviation of the sample is s=6.255.

Sample mean

$M=\dfrac{1}{8}\sum_{i=1}^{8}(27+25+32+40+43+37+35+38)\\\\\\ M=\dfrac{277}{8}=35$

Sample variance and standard deviation

$s^2=\dfrac{1}{(n-1)}\sum_{i=1}^{8}(x_i-M)^2\\\\\\s^2=\dfrac{1}{7}\cdot [(27-(35))^2+(25-(35))^2+(32-(35))^2+(40-(35))^2+(43-(35))^2+(37-(35))^2+(35-(35))^2+(38-(35))^2]\\\\\\$

$s^2=\dfrac{1}{7}\cdot [(58.141)+(92.641)+(6.891)+(28.891)+(70.141)+(5.64)+(0.14)+(11.39)]\\\\\ s^2=\dfrac{273.875}{7}=39.125\\\\\\s=\sqrt{39.125}=6.255$

b. If the population mean is 45, the z-score for M=35 would be:

$z=\dfrac{M-\mu}{\sigma}=\dfrac{35-45}{6.255}=\dfrac{-10}{6.255}=-1.6$

c. The standard error of the mean (SEM) of this group is calculated as:

$SEM=\dfrac{s}{\sqrt{n}}=\dfrac{6.255}{\sqrt{8}}=\dfrac{6.255}{2.828}=2.212$

4 0

3 years ago