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laiz [17]
3 years ago
11

What is not true about a microscope​

Mathematics
1 answer:
Delicious77 [7]3 years ago
3 0

Answer:

They aren’t used to see far away

Step-by-step explanation:

You might be interested in
Roberta makes $9 an hour plus a 10.5% commission selling jewelry an hour shift in which she sells $880 worth of jewelry. How muc
timama [110]

Answer:

Roberta earns $164.4 on an 8 hr shift.

Step-by-step explanation:

In one hour  Roberta makes $9

So if she works for 8 hours she will be making

=> ( 9 X 8)$

=>72$

Also she earns a commission of 10.5% on selling a jewellery  worth $880

So 10.5% of 880 is

=> \frac{10.5}{100}\times 880

=>  0.105\times 880

=> 92.4

Hence  Roberta will be earning a total amount of

(72+ 92.4)

=>$164.4

3 0
4 years ago
Use the greatest common factor and the distributive property to write and an equivalent expression: 20g+24h
n200080 [17]
4(5g+6h)

You xan remove four from each number, but no letters since they dont have any of the same.
4 0
3 years ago
the functions of f and g are given by f(x)=6x+8and g(x)=x-2 over 3. An expression for gf(x) in its simplest form
dmitriy555 [2]

Answer:

gf(x) = (6x+6)/3

Step-by-step explanation:

replace f(x) in x on g(x)..then you get the answer

4 0
3 years ago
You have a 20% off coupon to use at the store. Your total was $80 before the discount. H
12345 [234]

Answer:

C) $64

Step-by-step explanation:

(80 x 20)/100 = $16.00

Final Price:

80 - 16.00 = $64.00

4 0
3 years ago
If two linear regression models have the same number of explanatory variables, a model with an R2 value of 0.45 is a better pred
icang [17]

Answer:

False

Step-by-step explanation:

Given that two linear  regression models have the same number of explanatory variables

First model has coefficient of determination as 0.45 while other

0.65

we know that R^2 is the proportion showing the variation of dependent because of variation in independent variables.

Hence a higher R square is always better because it ensures more linearity and hence more accuracy in the regression equation.

Hence 0.65 model is better than 0.45 model.

The given statement is false.

5 0
3 years ago
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