Why do we need to rename 4 1/4 when subtracting by 3/4?

Mathematics

2 answers:

aivan3 [116]3 years ago

8 0

Because you can't do it.

And I think your teacher means turn it into a improper fraction

Gnoma [55]3 years ago

7 0

4 1/4 gets changed into an improper fraction which is 17/4 and then minus it.

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The vertices of a figure are given. Find the coordinates of the figure after the transformations given. A(−5,3),B(−2,3),C(−2,1),

Tanzania [10]

Answer:

Reflection: A' (5, 3)

B' (2, 3)

C' (2, 1)

D' (5, 1)

Dialation: A"(10, 6)

B" (4, 6)

C" (4, 2)

D" (10, 2)

Step-by-step explanation:

A(−5,3),B(−2,3),C(−2,1),D(−5,1)

To reflect over the y-axis you change the value of x. In this case all of the values for x are negative. You turn them all into a positive.:

A' (5, 3)

B' (2, 3)

C' (2, 1)

D' (5, 1)

To dialate by a scale factor of 2 you multiple everything by 2 and you should get: A"(10, 6)

B" (4, 6)

C" (4, 2)

D" (10, 2)

Hoep this helps!!

3 0

3 years ago

Read 2 more answers

Every day a factory produces 5000 light bulbs, of which 2500 are type 1 and 2500 are type 2. if a sample of 40 light bulbs is se

alisha [4.7K]

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3 years ago

According to a poll, 83% of California adults (418 out of 506 surveyed) feel that education is one of the top issues facing Cali

SpyIntel [72]

Answer:

A point estimate for the true population proportion is $\hat{p} = 0.83$ and the 90% confidence interval is (0.8025, 0.8575)

Step-by-step explanation:

We have a large sample of people of size n = 506. Let X be the random variable that represents the number of adults who feel that education is one of the top issues facing California. We are interested in the unknown true proportion p of adults who feel that education is one of the top issues facing California. A point estimate for the true population proportion is given by $\hat{p}$ = X/n = 418/506 = 0.83, the standard deviation is given by $\sigma_{\hat{p}} = \sqrt{p(1-p)/n}\approx\sqrt{\hat{p}(1-\hat{p})/n} = \sqrt{(0.83)(0.17)/506} = 0.0167$ . Therefore, the 90% confidence interval for the true population proportion is $\hat{p}\pm z_{0.1/2}\sqrt{\hat{p}(1-\hat{p})/n}$ , i.e., $0.83\pm z_{0.05}0.0167$ , i.e., $0.83\pm (1.6448)(0.0167)$ , (0.8025, 0.8575).