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2 years ago

Car A went 60km 3/4 of an hour. car b went 80km in 4/5 of an hour. witch car is faster

Mathematics

1 answer:

Lostsunrise [7]2 years ago

3 0

Answer:

80km in 4/5

Step-by-step explanation:

60km × 3 = 15×3=45

80km × 4 = 16×4 =64

64 is the answer

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Bryan has a square parcel of land that is 120 yards long and 120 yards wide. The land is planted with Bermuda grass and surround

bagirrra123 [75]

Diagonal = s * sqrt 2.....with s(side) being 120 yds
diagonal = 120 * sqrt 2 = 169.7 yds rounds to 170 yds....or if u need it in feet, it is (3 * 170) = 510 ft.

7 0

3 years ago

Which expression represents 5 more than one-third y

Jlenok [28]

*Five more*

*One-third y*

1/3y

D. 1/3y+5

Hope this helps!!

8 0

3 years ago

Read 2 more answers

Peggy is thinking of a number such that when twice the number is added to three times one more than the number she gets the same

mars1129 [50]

Answer:

-7

Step-by-step explanation:

Lets assume the number Peggy is thinking of be "x".

Now as given, when twice the number is added to three times one more than the number. We can write it as

∴ $2x+3(x+1)$ --- Equation 1

Again, it is given that Peggy gets the same result as when she multiplies four times one less than the number.

∴ $4(x-1)$ -- equation 2

Next, we can equate both the equation 1 and 2 as it is given that result is same.

$2x+3(x+1)= 4(x-1)$

Let´s distribute 3 into $(x+1)$ and 4 into $(x-1)$

⇒ $2x+3x+3=4x-4$

⇒ $5x+3=4x-4$

Subtract both side by 4x and 3

∴ $x=-7$

∴ Peggy was thinking of -7

4 0

3 years ago

A manufacturer knows that their items have a normally distributed length, with a mean of 15.4 inches, and standard deviation of

Masteriza [31]

Answer:

0.9452 = 94.52% probability that their mean length is less than 16.8 inches.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the z-score of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean $\mu$ and standard deviation $\sigma$ , the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean $\mu$ and standard deviation $s = \frac{\sigma}{\sqrt{n}}$ .