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trapecia [35]
3 years ago
13

What would 1469.52 be rounded to?

Mathematics
2 answers:
hram777 [196]3 years ago
7 0
1470 because with .52 you round up to the nearest whole number
denis23 [38]3 years ago
4 0
1470 because 0.52 is close to the whole
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5th grade math. correct answer will be marked brainliest
sertanlavr [38]

Answer:

Dan  g

Step-by-step explanation:

Dan  g

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3 years ago
3. Roger runs 8 miles per hour. He ran for h
kumpel [21]

Answer:

8<em>h</em>

Step-by-step explanation:

8 miles per hour

<em>h</em> hours

plug in <em>h </em>for how many hours

8 divided by 6 is 1.3

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3 years ago
1.) y + 3 &gt; 7 what’s the answer?
sasho [114]

Answer:

Yes you are right it is option 4

Step-by-step explanation:

7 0
2 years ago
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What is the answer? Some please help!!
Aleksandr [31]

Answer:

Area of the figure = 200 cm²

Step-by-step explanation:

Area of rectangle A = Length × Width

                               = 5×9

                               = 45 cm²

Area of rectangle B = 5 × 11

                               = 55 cm²

Area of rectangle C = 5 × 9

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Area of rectangle D = 5 × 7

                               = 35 cm²

Area of rectangle E = 10 × 2

                                = 20 cm²

Total area of the figure = 45 + 55 + 45 + 35 + 20

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4 0
3 years ago
In a sample of 1000 randomly selected consumers who had opportunities to send in a rebate claim form after purchasing a product,
Vadim26 [7]

Answer: 0.2872

Step-by-step explanation:

Given : In a sample of 1000 randomly selected consumers who had opportunities to send in a rebate claim form after purchasing a product, 260 of these people said they never did so.

i.e. n= 1000 and x= 260

⇒ Sample proportion : \hat{p}=\dfrac{260}{1000}=0.26

z-value for 95% confidence interval : z_c=1.960

Now, an upper confidence bound at the 95% confidence level for the true proportion of such consumers who never apply for a rebate. :-

\hat{p}+ z_c\sqrt{\dfrac{\hat{p}(1-\hat{p})}{n}}

=0.26+ (1.96)\sqrt{\dfrac{0.26(1-0.26)}{1000}}

=0.26+ (1.96)(0.01387)=0.26+0.0271852=0.2871852\approx0.2872

∴ An upper confidence bound at the 95% confidence level for the true proportion of such consumers who never apply for a rebate : 0.2872

7 0
3 years ago
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