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Serga [27]
3 years ago
14

-Round the following number to a whole number a. 101.01​

Mathematics
1 answer:
7nadin3 [17]3 years ago
7 0

Answer:

that would be 100 cause its the Closest whole number

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Whitepunk [10]

Answer:

Which school do you attend please and which grade are you in please

6 0
3 years ago
Ms. B is making snickerdoodle cookies. Her recipe uses one and a half teaspoons of cinnamon to make two dozen cookies. If she ne
Korvikt [17]

Answer:

First we must learn to dissect a question.

<h3>Explanation:</h3>

Part 1

We can list our facts first:

  • Every 2 dozen cookies takes 1.5 teaspoons of cinnamon to make
  • She needs 13 dozen cookies

She needs 13 dozen cookies. So (13/2)x 1.5 teaspoons

6.5 \times 1.5 = 9.75 \: teaspoons

<h3>Part 2</h3>

She needs 9.75 teaspoons and 3 teaspoons make a tablespoon

So..

9.75 \div 3 = 3 r0.75= 3tbsp \: and \: 0.75tsp

7 0
2 years ago
Julio wants to find the volume of a small pebble. He drops it into a graduated cylinder filled with 30.0 mL of water.
dezoksy [38]

Answer:

By calculating water displacement

Step-by-step explanation:

Because Julio knows the volume of water in the graduated cylinder, by dropping the pebble in, he can record the new volume of both the water and pebble. Subtracting the volume of the water from the volume of both will leave him with the volume of the pebble. This technique is water displacement.

8 0
3 years ago
Read 2 more answers
Suppose John is a high school statistics teacher who believes that scoring higher on homework assignments leads to higher test s
EleoNora [17]

Answer:

A. R2 = 0.6724, meaning 67.24% of the total variation in test scores can be explained by the least‑squares regression line.

Step-by-step explanation:

John is predicting test scores of students on the basis of their home work averages and he get the following regression equation

y=0.2 x +82.

Here, dependent variable y is the test scores and independent variable x is home averages because test scores are predicted on the basis of home work averages.

The coefficient of determination R² indicates the explained variability of dependent variable due to its linear relationship with independent variable.

We are given that correlation coefficient r= 0.82.

coefficient of determination R²=0.82²=0.6724 or 67.24%.

Thus, we can say that 67.24% of total variability in test scores is explained by its linear relationship with homework averages.

Also, we can say that, R2 = 0.6724, meaning 67.24% of the total variation in test scores can be explained by the least‑squares regression line.

3 0
3 years ago
How do you simplify this expression step by step?
nataly862011 [7]

\bf \textit{Pythagorean Identities} \\\\ sin^2(\theta)+cos^2(\theta)=1\implies cos^2(\theta)=1-sin^2(\theta) \\\\[-0.35em] \rule{34em}{0.25pt}\\\\ \cfrac{csc(\theta )-sin(\theta )}{cos(\theta )}\implies \cfrac{~~\frac{1}{sin(\theta )}-sin(\theta )~~}{cos(\theta )}\implies \cfrac{~~\frac{1-sin^2(\theta )}{sin(\theta )}~~}{cos(\theta )}

\bf \cfrac{1-sin^2(\theta )}{sin(\theta )}\cdot \cfrac{1}{cos(\theta )}\implies \cfrac{\stackrel{cos(\theta )}{\begin{matrix} cos^2(\theta ) \\[-0.7em]\cline{1-1}\\[-5pt]\end{matrix}} }{sin(\theta )}\cdot \cfrac{1}{\begin{matrix} cos(\theta ) \\[-0.7em]\cline{1-1}\\[-5pt]\end{matrix} }\implies \cfrac{cos(\theta )}{sin(\theta )}\implies cot(\theta )

5 0
3 years ago
Read 2 more answers
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