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zloy xaker [14]
3 years ago
15

Laura spent 4/3 of her savings on a new CD which equivalent fraction shows the amount Laura spent? 1/9, 2/8, 1/3, or 2/3

Mathematics
1 answer:
Sholpan [36]3 years ago
7 0
Round 4/3 to the nearest half you should come up with 2/3
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What is the product of (6x3+3x)(x2+4)
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If you would like to know what is the product of (6 * x^3 + 3 * x) * (x^2 + 4), you can calculate this using the following steps:

(6 * x^3 + 3 * x) * (x^2 + 4) = 6 * x^3 * x^2 + 6 * 4 * x^3 + 3 * x * x^2 + 3 * 4 * x = 6 * x^5 + 24 * x^3 + 3 * x^3 + 12 * x = 6 * x^5 + 27 * x^3 + 12 * x

The correct result would be 6 * x^5 + 27 * x^3 + 12 * x.
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3 years ago
A ship is approaching a shore and makes an angle of elevation of 11.3o to the top of the light house. Find the distance of the s
Serggg [28]

Answer:

it is very very tall hfhfhfudddhehhd

Step-by-step explanation:

hejrjrneudehshheeundjdjdjsjsjsjdususisisisidusijdjsjejeushd7d jeep has 3AM in its not that serious rn im in the morning princess ❤i love it was the last one of my friends not yours and I love you so much I 3AM you so much and I don't know if you want me tk and I will never be a good friend and he was a prank but I was like that and he was so long for me to be a little sibling and he was so much better than you and he was a little upset caude and he was a little nervous and he just stays awake for me to get my hair done w each other for like that and he was so nervous and he just wanted the same

4 0
3 years ago
The news listed that the al?rage price Of a gallon Of gasoline
Virty [35]

Answer:

b. between $3.04 and $3.36

Step-by-step explanation:

Given,

Price of 1 gallon of gasoline = $3.20

Margin of Error = 5%

We have to find out average cost of gallon of gasoline.

For this, we have to find out 5% of the price of gasoline. Which is calculated by dividing 5 by 100 and then multiply it by 3.20.

Amount of margin of error = \frac{5}{100}\times3.20 = 0.16

Hence The margin of error is ±, So we will subtract the amount of margin of error with actual amount of 1 gallon of gasoline. Also we will add the amount of margin of error with actual amount of 1 gallon of gasoline.

Margin of error 1 = 3.20-0.16= \$3.04

Margin of error 2 = 3.20+0.16= \$3.36

Hence the Average cost of a gallon of gasoline should be between $3.04 and $3.36.

3 0
3 years ago
A simulation was conducted using 10 fair six-sided dice, where the faces were numbered 1 through 6. respectively. All 10 dice we
kompoz [17]

Answer:

C) a sample distribution of a sample mean with n = 10  

\mu_{{\overline}{X}} = 3.5

and \sigma_{{\overline}{Y}} = 0.38

Step-by-step explanation:

Here, the random experiment is rolling 10, 6 faced (with faces numbered from 1 to 6) fair dice and recording the average of the numbers which comes up and the experiment is repeated 20 times.So, here sample size, n = 20 .

Let,

X_{ij} = The number which comes up  on the ith die on the jth trial.

∀ i = 1(1)10 and j = 1(1)20

Then,

E(X_{ij}) = \frac {1 + 2 + 3 + 4 + 5 + 6}{6}

                            = 3.5       ∀ i = 1(1)10 and j = 1(1)20

and,

E(X^{2}_{ij} = \frac {1^{2} + 2^{2} + 3^{2} + 4^{2} + 5^{2} + 6^{2}}{6}

                                = \frac {1 + 4 + 9 + 16 + 25 + 36}{6}

                                = \frac {91}{6}

                                \simeq 15.166667

so, Var(X_{ij} = (E(X^{2}_{ij} - {(E(X_{ij})}^{2})

                                    \simeq 15.166667 - 3.5^{2}

                                    = 2.91667

   and \sigma_{X_{ij}} = \sqrt {2.91667}[/tex                                            [tex]\simeq 1.7078261036

Now we get that,

 Y_{j} = \frac {\sum_{j = 1}^{20}X_{ij}}{20}

We get that Y_{j}'s are iid RV's ∀ j = 1(1)20

Let, {\overline}{Y} = \frac {\sum_{j = 1}^{20}Y_{j}}{20}

      So, we get that E({\overline}{Y}) = E(Y_{j})

                                                                 = E(X_{ij}  for any i = 1(1)10

                                                                 = 3.5

and,

       \sigma_{({\overline}{Y})} = \frac {\sigma_{Y_{j}}}{\sqrt {20}}                                             = \frac {\sigma_{X_{ij}}}{\sqrt {20}}                                             = \frac {1.7078261036}{\sqrt {20}}                                            [tex]\simeq 0.38

Hence, the option which best describes the distribution being simulated is given by,

C) a sample distribution of a sample mean with n = 10  

\mu_{{\overline}{X}} = 3.5

and \sigma_{{\overline}{Y}} = 0.38

                                   

6 0
2 years ago
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