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3 years ago

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Which of the following expressions represents the sum of a number and three is divided by two? 2 ÷ x + 3 2 ÷ (x + 3) (x + 3) ÷ 2

x + 3 ÷ 2
PLS ANSWER ASAP!

2 answers:

zzz [600]3 years ago

5 0

(x + 3) divided by 2

third option

Ede4ka [16]3 years ago

5 0

Answer:

(x + 3) divided by 2

third optionStep-by-step explanation:

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Which of the following are solutions to the inequality below? select all that apply

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The answer is #1, #2, and #4

It’s #1 because if you look at a number line -3 is before -4

It’s #2 because it’s less then or equal to and -4 is equal to -4

And lastly it’s #4 because 3 is greater then -4

Hope this helps!!

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Two researchers conducted a study in which two groups of students were asked to answer 42 trivia questions from a board game. Th

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Answer:

$(21.9-19.8) -1.966\sqrt{\frac{3.4^2}{200} +\frac{3.5^2}{200}}= 1.422$

$(21.9-19.8) -1.966 \sqrt{\frac{3.4^2}{200} +\frac{3.5^2}{200}}= 2.778$

And we are 95% confident that the true difference means are between $1.422 \leq \mu_1 -\mu_2 \leq 2.778$

Step-by-step explanation:

We know the following info:

$\bar X_1 = 21.9$ sample mean for group 1

$\bar X_2 = 19.8$ sample mean for group 2

$s_1 = 3.4$ sample standard deviation for group 1

$s_2 = 3.5$ sample standard deviation for group 2

$n_1 = 200$ sample size group 1

$n_2 = 200$ sample size group 2

We want to find a confidence interval for the difference of means and the correct formula to do this is:

$(\bar X_1 -\bar X_2) \pm t_{\alpha/2} \sqrt{\frac{s^2_1}{n_1} +\frac{s^2_2}{n_2}}$

Now we just need to find the critical value. The confidence level is 0.95 then the significance is $1-0.95 =0.05$ and $\alpha/2 =0.025$ . The degrees of freedom are given by:

$df= n_1 +n_2 -2= 200+200-2= 398$

The critical value for this case would be : $t_{\alpha/2}=1.966$

And replacing into the confidence interval formula we got:

$(21.9-19.8) -1.966\sqrt{\frac{3.4^2}{200} +\frac{3.5^2}{200}}= 1.422$

$(21.9-19.8) -1.966 \sqrt{\frac{3.4^2}{200} +\frac{3.5^2}{200}}= 2.778$

And we are 95% confident that the true difference means are between $1.422 \leq \mu_1 -\mu_2 \leq 2.778$

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