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torisob [31]
3 years ago
5

Find the product. 10(-7)

Mathematics
2 answers:
GuDViN [60]3 years ago
8 0

Answer:

-70

Step-by-step explanation:

If a number is right by a parathesis () then you multiply the number inside the parathesis by the number next to them.

svet-max [94.6K]3 years ago
3 0
-70 (multiply what’s in the parenthesis and since there’s only one negative number in your problem it’s negative
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PLZZZ HELPPPPPP!!!!!!!!!!! (STATISTICS)
V125BC [204]

Answer:

F

Step-by-step explanation:

F to pay respects

5 0
3 years ago
$1400 is invested at 2% per annum simple interest. How long will it take for the total amount to reach $1624?
Step2247 [10]

Answer:

7.5 years.

Step-by-step explanation:

Use A = 1400(1+0.02)^7.5

The 1400 is the starting money. The 1 is a constant. The 0.02 is the 2% in decimal form. And the 7.5 is years. I found that by just continually increasing it until it hit 1624.

Hope this helps

6 0
3 years ago
Between the pair of numbers insert the proper sign 4.67 4.6 07
saul85 [17]
4.607 < 4.67.

Unsure of why you have left a space within 4.6 07.  Did you not mean 4.607?

6 0
4 years ago
Sore ABC sells 8 lbs of oranges for $6.00. Store XYZ sells 14lbs of oranges for $11.20. Which store is less expensive and by how
Pavel [41]

Answer:

Store ABC is less expensive by $0.05 per pound

Step-by-step explanation:

Find the cost per pound for each store.

1. Store ABC - divide $6 by 8lbs = .75 per pound

2. Store XYZ - divide $11.20 by 14 lbs = .80 per pound

Find the difference.

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5 0
4 years ago
Consider random samples of size 50 from a population with proportion 0.35.
lisov135 [29]

Answer:

The mean is  \mu_{\^ p } =  p = 0.35    

The standard error  is  SE = 0.06745

Step-by-step explanation:

From the question we are told that

   The sample size is  n =  50  

    The population proportion is p = 0.35

Generally given that the sample size is large enough , then the mean of the distribution is  mathematically represented as

          \mu_{\^ p } =  p = 0.35    

Generally the standard error of the distribution is mathematically represented as

        SE = \sqrt{\frac{p (1- p )}{n} }

=>     SE = \sqrt{\frac{0.35 (1-  0.35 )}{50} }

=>     SE = 0.06745

8 0
3 years ago
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