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IrinaK [193]
3 years ago
15

Anthony purchased 4 burgers for $4.60 based on this rate, how much would 1 burger cost?

Mathematics
1 answer:
Jlenok [28]3 years ago
7 0
4 divided by $4.60 gives you your unit rate 

$1.15
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Deshawn paid $9.20 for coffee and left a $2.30 tip.If he the same rate later today while out at dinner,how much will his tip be
xenn [34]
Around 4.50 would be the tip
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3 years ago
Ioana wants to spend ¾ of an hour studying each subject. She has 3 hours to study. How many subjects can she study?
BaLLatris [955]

Answer:

  • 4 subjects

Step-by-step explanation:

<u>3 hours for studying x subjects:</u>

  • x*3/4 = 3
  • x = 3*4/3
  • x = 4
3 0
3 years ago
Two interior angles of a scalene triangle measure 85 and 50 degrees. The third angle measures:
zmey [24]
The interior of a triangle = 180°
So 180° - 85° -50° = 45°

c. 45 degrees
3 0
3 years ago
Luke grew some carrots in his garden. Their weights, in grams, are listed below.
Arisa [49]

Answer:

The bottom right histogram is the correct one.

Step-by-step explanation:

Carrots  weight 40-49 kg = 2

 ... of weight 50-59 = 6

 ...  of weight 60-69 = 4

 ..   of weight 70-79 = 1

8 0
2 years ago
A small town has 2000 families. The average number of children per family is mu = 2.5, with a standard deviation sigma = 1.7. A
Nikitich [7]

Answer:

Let X the random variable that represent the number of children per fammili of a population, and for this case we know the following info:

Where \mu=2.5 and \sigma=1.7

We select a sample of n =64 >30 and we can apply the central limit theorem. From the central limit theorem we know that the distribution for the sample mean \bar X is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

And for this case the standard error would be:

\sigma_{\bar X} = \frac{1.7}{\sqrt{64}}= 0.2125

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

The central limit theorem states that "if we have a population with mean μ and standard deviation σ and take sufficiently large random samples from the population with replacement, then the distribution of the sample means will be approximately normally distributed. This will hold true regardless of whether the source population is normal or skewed, provided the sample size is sufficiently large".

Solution to the problem

Let X the random variable that represent the number of children per fammili of a population, and for this case we know the following info:

Where \mu=2.5 and \sigma=1.7

We select a sample of n =64 >30 and we can apply the central limit theorem. From the central limit theorem we know that the distribution for the sample mean \bar X is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

And for this case the standard error would be:

\sigma_{\bar X} = \frac{1.7}{\sqrt{64}}= 0.2125

6 0
3 years ago
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