Rite the word sentence as an inequality. two less than a number is more than 15

Help me plzplzplzplz1

mezya [45]

Answer:

The answer is 400 when you round it off to the nearest hundred.

4 0

3 years ago

I need help on these 2 questions. Algebra 1

hammer [34]

Answer:

7. is G

8. f(4)=-120

Step-by-step explanation:

7. les do f(0)=4 since its the easiest

F. f(0)=0.4(0+5)(0-2)

0.4*-2*5=-4 NOT IT. the ans. is +

G. f(0)=-0.4(0+5)(0-2)

-0.4*-2*5=4 YESSSSSS

H. f(0)=-0.4(0-5)(0+2)

-0.4*2*-5=4 YESSSSSS

J. f(0)=0.4(0-5)(0+2)

0.4*2*-5=-4 NOT ITTTT

so G n H

Put both equation=0

G. 0=-0.4(x+5)(x-2)

x=-5,2 YASSSS this is the ans.

4 0

3 years ago

Whats cubed square mean?

Soloha48 [4]

Answer:

Square and cube numbers are special sequences of numbers that are linked to the property of the shape they are named after. A square number relates to the area of a square. A cube number relates to the volume of a cube.

Step-by-step explanation:

6 0

2 years ago

Read 2 more answers

Candice is preparing for her final exam in Statistics. She knows she needs an 74 out of 100 to earn an A overall in the course.

Salsk061 [2.6K]

Answer:

Hence the correct option is option b) Yes, the upper level of one standard deviation is 72.

A score of 74 is not within one standard deviation of the mean.

Step-by-step explanation:

Here the given details are,

Mean = 68

SD = 4

Distribution is normal.

Z-score for x = 74 is given as below:

$Z = (X - mean)/SD\\Z = (74 - 68)/4\\Z = 1.5$

So, the score of 74 is 1.5 standard deviations from the mean.

$Mean + 1\timesSD = 68 + 1\times4 = 72Mean - 1\timesSD = 68 - 1\times4 = 64$

Therefore the score is not lies between 64 and 72.

Yes, the upper level of one standard deviation is 72.

3 0

2 years ago

Statistics students in Oxnard College sampled 10 textbooks in the Condor bookstore, and recorded number of pages in each textboo

jeka94

Answer:

y = -0.85 + 0.09x; $49.82

Step-by-step explanation:

1. Calculate Σx, Σy, Σxy, and Σx²

The calculation is tedious but not difficult.

$\begin{array}{rrrr}\mathbf{x} & \mathbf{y} & \mathbf{xy} & \mathbf{x^{2}}\\526 & 52.08 & 27394.08 & 276676\\625& 59.00 & 36875.00 &390625\\589 & 56.12 & 33054.68 & 346921\\409 & 25.72 & 10519.48 & 167281\\489 & 34.12& 16684.68 & 293121\\500 & 53.00 & 26500.00 &250000\\906 & 76.48 & 71102.88 & 820836\\251 &26.08 & 6546.08 & 63001\\595 & 50.60 & 30107.00 & 354025\\719 & 68.52 & 49265.88 & 516961\\\mathbf{5609} & \mathbf{503.72} &\mathbf{308049.76} & \mathbf{3425447}\\\end{array}$

2. Calculate the coefficients in the regression equation

$a = \dfrac{\sum y \sum x^{2} - \sum x \sum xy}{n\sum x^{2}- \left (\sum x\right )^{2}} = \dfrac{503.7 \times 3425447 - 5609 \times 308049.76}{10 \times 3425447- 5609^{2}}\\\\= \dfrac{1725466163 - 1727851103.84}{34254470 - 31460881} = -\dfrac{2384941}{2793589}= \mathbf{-0.8537}$

$b = \dfrac{n\sumx y - \sum x \sumxy}{n\sum x^{2}- \left (\sum x\right )^{2}} = \dfrac{3080498 - 2825365.48}{2793589} = \dfrac{255132}{2793589} = \mathbf{0.09133}$

To two decimal places, the regression equation is

y = -0.85 + 0.09x

3. Prediction

If x = 563,

y = -0.85 + 0.09x = -0.85 + 0.09 × 563 = -0.85 + 50.67 = $49.82

(If we don't round the regression equation to two decimal places, the predicted value is $50.56.)

4 0

3 years ago