Numerade

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Moving the forearm from anatomical position to the prone position is called pronation and is achieved by contracting the ____________ muscle

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Determine whether the function is a polynomial function. $f(x) = \frac{8 - x^2}{2}$

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What is ∆G° for the reaction of sodium metal with chlorine gas to form sodium chloride when the equation is properly balanced? Group of answer choices -393 kJ/mol -785 kJ/mol -197 kJ/mol -261 kJ/mol +393 kJ/mol

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create thesis statement about creating task forces to address homelessness in the united states

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Seatwork $ \quad $ of en water inside an in sulated cuP -1. What would be be the teme temper at at $ 66.2^{\circ} \mathrm{C} $ with 45.4 g of water at $ 35.7^{\circ} \mathrm{C} $ ? 2.100 35.48 of metal was placed in got water. The heat abs orbed was iifyou min $ 20.58^{2} $ of $ m $ specific heat of copper metal, a piece weigh calculated to be 47.0 ) from the temperature drop of the water. would be the specific heat of the metal if the temperature of the Twenty-five point three g temperature then dropped to $ 25^{\circ} \mathrm{C} $ was then added to the water The tinn the specific heat otzinc?

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Temperature vs time for Freezing Point Run Part B 1 Os (Time) 19.89 (Temp°C) 10s 17.51 20s 11.68 30s 8.25 40s 6.11 50s 5.42 1m 5.35 1m10s 5.19 1m20s 4.99 1m30s 4.89 1m40s 4.89 1m50s 4.79 2m 4.31 2m15s 4.01 2m30s 3.50 2m45s 3.50 3m 3.39 3m15s 3.39 3m30s 3.05 3m45s 2.83 4m 2.51 4m15s 2.46 4m30s 2.28 4m45s 1.99 5m 1.89

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12. We want to know if there is a strong correlation between the square footage ($F$) of a house and the price ($P$) of a house. (a) Find the equation of the regression line for $F$ vs. $P$, where $F$ is the independent variable (think $x$). (b) Interpret the slope. (c) Find $r$ and (using $r$) explain if there a significant linear relationship between $F$ and $P$. (d) Using the regression line, predict the cost of a 1,600 ft$^2$ house. Find the residual. (e) Using the regression line, predict the cost of a 3,500 ft$^2$ house. Was this interpolation or extrapolation? (f) Using the regression line, you can see a house of size 100 square feet will have a negative price, which does not make sense. What's the smallest house that will have a positive price? (g) Compute the correlation coefficient between $F$ and $B$. Is there a stronger correlation between (i) $F$ and $P$ or (ii) $F$ and $B$?

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EXHIBIT 8.7 Algebraic Formulas for Variances Variable cost variances (materials, labor, and overhead) a. Price variance |Actual price - Standard price| × Actual quantity b. Usage variance |Actual quantity - Standard quantity| × Standard price

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Amazon is a big data giant, in one slide/page explain how Amazon use big data in its personalized recommendation system.

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The following information is from the Income Statement of the Marigold Laundry Service: Revenues Service Revenues $6890 Expenses Salaries and wages expense $ 2600 Advertising expense 530 Rent expense 320 Supplies expense 210 Insurance expense 110 Total expenses 3770 Net income $3120 The entry to close the Laundry Service Revenue account includes a: de b de bit to Service Revenue for $6890. credit to Service Revenue for $6890. de b it to Income Summary for $6890. de b it to Retained Earnings for $6890.

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daniel c.