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Aneli [31]
3 years ago
10

7.25 cm plus 7.2 cm plus 8cm equals what

Mathematics
2 answers:
HACTEHA [7]3 years ago
8 0
22.45 is the correct answer. Just add
alisha [4.7K]3 years ago
7 0
There correct answer to that question is 22.45
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In a Gallup poll, 1025 randomly selected adults were surveyed and 29% of them said that they used the Internet for shopping at l
svetoff [14.1K]

Answer:   (0.25,0.33)

Step-by-step explanation:

A 99% confidence interval for population proportion is given by:-

\hat{p}\pm 2.576\sqrt{\dfrac{\hat{p}(1-\hat{p})}{n}}, where \hat{p} = sample proportion, n = sample size.

Given: n=1025, \hat{p}=0.29

A 99% confidence interval estimate of the proportion of adults who use the Internet for shopping:

0.29\pm 2.576\sqrt{\dfrac{0.29(1-0.29)}{1025}}\\\\=0.29\pm 2.576\sqrt{0.00020087804878}\\\\=0.29\pm2.576(0.01417)\\\\=0.29\pm0.03650192\\\\=(0.29-0.03650192,\ 0.29+0.03650192)\\\\=(0.25349808,\ 0.32650192)

\approx(0.25,\ 0.33)

Thus, a 99% confidence interval estimate of the proportion of adults who use the Internet for shopping = (0.25,0.33)

5 0
3 years ago
Please help. 10 points and brainliest.
Snezhnost [94]

Answer:

\frac{a^2}{b^2}

Step-by-step explanation:

Apply the exponent rule a^b*a^c=a^b+c to a

a^4*a^-^2=a^4^-^2=a^2

b^3a^2b^-^5

Apply the exponent rule to b

b^3*b^-^5=b^3^-^5=b^-^2

Apply the exponent rule a^-^b=\frac{1}{a^b}

b^-^2=\frac{1}{b^2}=\frac{1}{b^2}a^2=\frac{a^2}{b^2}

6 0
3 years ago
.For small training sets variance may contribute more to the overall error than bias. Sometimes this is handled by reducing the
Ymorist [56]

Answer:

Bias is the difference between the average prediction of our model and the correct value which we are trying to predict and variance is the variability of model prediction for a given data p[oint or a value which tells us the spread of our data the variance perform very well on training data but has high error rates on test data on the other hand if our model has small training sets then it's going to have smaller variance & & high bias and its contribute more to the overall error than bias. If our model is too simple and has very few parameters then it may have high bias and low variable. As the model go this is conceptually trivial and is much simpler than what people commonly envision when they think of modelling but it helps us to clearly illustrate the difference bewteen bias & variance.

3 0
3 years ago
Cate and Elena were playing a card game. The stack of cards in the middle had 24 cards in it to begin with. Cate added 6 cards t
sergij07 [2.7K]
13, start with 24, right? 24 plus 6 is 30. 30 minus 12 is 18. 18 minus 5 is 13.
7 0
3 years ago
Read 2 more answers
The number of a certain company's video stores can be approximated by the linear equation y= -264x+4682, where x is the number o
ahrayia [7]

Answer:

Missing co-ordinate for the ordered pair is (7,2834)

Y-intercept is (0,4682)

X-intercept is (17.73,0)

Step-by-step explanation:

The number of a certain company's video stores can be approximated by the linear equation

y= -264\ x+4682

where y is the number of stores and x represents the number of years after 1990.

To find the missing co-ordinate for the ordered pair solution (7,?)

For the ordered pair, we are given the x value which is =7 i.e 7 years after 1990. Thus we will plugin x=7 in the linear equation to get the y value which is number of stores after 7 years from 1990.

y= -264\ (7)+4682

y= -1848+4682

y= 2834

Thus the ordered pair is (7,2834)

To find y-intercept which is the point where the line touches the y-axis, we would plugin x=0 in the equation as the x-coordinate is 0 at y-axis.

y= -264\ (0)+4682

y= 0+4682

y=4682

Thus y-intercept is at point (0,4682)

To find x-intercept which is the point where the line touches the x-axis, we would plugin y=0 in the equation as the y-coordinate is 0 at x-axis and thus for x

0= -264\ x+4682

Subtracting both sides by 4682.

0-4682= -264\ x+4682-4682

-4682= -264\ x

Dividing both sides by -264

\frac{-4682}{-264}= \frac{-264\ x}{-264}

17.73= x

∴ x=17.73

Thus x-intercept is at point (17.73,0)

5 0
4 years ago
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