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2 years ago

If 4 muffins cost $5.24, how much would 5 muffins cost ?

Mathematics

2 answers:

spin [16.1K]2 years ago

8 0

Answer:

6.55

Step-by-step explanation:

5.24 ÷ 4 = 1.31 x 5 = 6.55

OLga [1]2 years ago

6 0

Well, if 4 muffins cost $5.24, then we can do 5.24 ÷ 4 = 1.31 to know that one muffin costs 1.31. Now we can do 1.31 x 5 = 6.55 to know 5 muffins cost 6.55.

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PLZ HURRY Solve for g. g3 – 1 > 2

Phoenix [80]

$g3 - 1 > 2$

$g3 - 1 + 1 > 2 + 1$

$g3 > 3$

$\frac{g3}{3} > \frac{3}{3}$

$g > 1$

If the 3 is an exponent, then the person above me is right.

5 0

2 years ago

a highway measures 58 and 1/2 miles long. There will be a speed limit sign posted every two one six miles. How many speed limit

Solnce55 [7]

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2 years ago

A cylinder with a radius of 6cm and height of 15 cm has a cylindrical cut out of the

suter [353]

Answer:

$V = 518cm^3$

Step-by-step explanation:

Given

$h = 15cm$

$R = 6cm$

$r =5cm$

Required

The volume of the remaining cylinder

Before the cut-out, the cylinder has a volume (V) of:

$V = \pi R^2h$

After the cut-out, the cylinder has a volume of:

$V = \pi [R^2 -r^2]h$

So, we have:

$V = 3.14* [6^2 -5^2]*15$

$V = 3.14* [36 -25]*15$

$V = 3.14* 11*15$

$V = 518cm^3$

6 0

2 years ago

The thumb length of fully grown females of a certain type of frog is normally distributed with a mean of 8.59 mm and a standard

PilotLPTM [1.2K]

Answer:

21.77% probability that a randomly selected frog of this type has thumb length longer than 9.08 mm.

Step-by-step explanation:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore 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 pvalue, we get the probability that the value of the measure is greater than X.

In this problem, we have that:

$\mu = 8.59, \sigma = 0.63$