I am very confused who can help

How do you write 94,300 in scientific notation

Andrew [12]

Answer:

9.44 x 10^4 in scientific notation

Step-by-step explanation:

4 0

3 years ago

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Using perfect factors find the square root of 1764

Zolol [24]

The square root of 1764 using perfect factors is 42

<h3>How to determine the square root using perfect factors?</h3>

The number is given as:

1764

Rewrite as

x^2 = 1764

Express 1764 as the product of its factors

x^2 = 2 * 2 * 3 * 3 * 7 * 7

Express as squares

x^2 = 2^2 * 3^2 * 7^2

Take the square root of both sides

x = 2 * 3 * 7

Evaluate the product

x = 42

Hence, the square root of 1764 using perfect factors is 42

Read more about perfect factors at

brainly.com/question/1538726

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3 0

1 year ago

Simply Each Expression

vitfil [10]

Answer:

$\frac{4}{9x^2}$

Step-by-step explanation:

$(\frac{2x^3}{3x^4} )^2$

$= (\frac{2}{3x} )^2$

$= \frac{4}{9x^2}$

3 0

3 years ago

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Fiona is serving iced tea and lemonade at a picnic. She has only 44 cups in which to serve the drinks. If x represents the numbe

masha68 [24]

The number of glasses is restricted to 44 cups. So the number of iced tea cups and the number of lemonade cups that she can serve is, maximum, 44. Then, if you call x the number of glasses of iced tea and call y the number of glasses of lemonade, you have that the total number of glasses (cups) is x + y. And <span>the equation that represents the number of glasses that she cacn serve is x + y = 44. You can place it in other equivalent ways, for example, solve for y: y = 44 - x. Those two equations are valid answers because they represent the same equation.</span>

8 0

3 years ago

A random sample of n 1 = 249 people who live in a city were selected and 87 identified as a democrat. a random sample of n 2 = 1

kvasek [131]

Answer:

$CI=\{-0.2941,-0.0337\}$

Step-by-step explanation:

Assuming conditions are met, the formula for a confidence interval (CI) for the difference between two population proportions is $\displaystyle CI=(\hat{p}_1-\hat{p}_2)\pm z^*\sqrt{\frac{\hat{p}_1(1-\hat{p}_1)}{n_1}+\frac{\hat{p}_2(1-\hat{p}_2)}{n_2}$ where $\hat{p}_1$ and $n_1$ are the sample proportion and sample size of the first sample, and $\hat{p}_2$ and $n_2$ are the sample proportion and sample size of the second sample.

We see that $\hat{p}_1=\frac{87}{249}\approx0.3494$ and $\hat{p}_2=\frac{58}{113}\approx0.5133$ . We also know that a 98% confidence level corresponds to a critical value of $z^*=2.33$ , so we can plug these values into the formula to get our desired confidence interval:

$\displaystyle CI=(\hat{p}_1-\hat{p}_2)\pm z^*\sqrt{\frac{\hat{p}_1(1-\hat{p}_1)}{n_1}+\frac{\hat{p}_2(1-\hat{p}_2)}{n_2}}\\\\CI=\biggr(\frac{87}{249}-\frac{58}{113}\biggr)\pm 2.33\sqrt{\frac{\frac{87}{249}(1-\frac{87}{249})}{249}+\frac{\frac{58}{113}(1-\frac{58}{113})}{113}}\\\\CI=\{-0.2941,-0.0337\}$

Hence, we are 98% confident that the true difference in the proportion of people that live in a city who identify as a democrat and the proportion of people that live in a rural area who identify as a democrat is contained within the interval {-0.2941,-0.0337}

The 98% confidence interval also suggests that it may be more likely that identified democrats in a rural area have a greater proportion than identified democrats in a city since the differences in the interval are less than 0.

5 0

2 years ago