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natita [175]
3 years ago
15

Please help!!!! I'll mark u brainliest + it's a lot of points

Mathematics
1 answer:
Dafna1 [17]3 years ago
3 0

1. 24/6=4

2.-5 5/16

3. 37/40

4. -15/13.2857142857

5.32/5

6. -9 1/3

7.-7/10

8. 6/13

9.51/-34

10.-1/6

11.65/-12

12.-3 14/49

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1. Naty bought a dress for $24.95 and a skirt for $14.95. The sales clerk said the total
ch4aika [34]

Answer:

Answer:

39.995=40.00

   

Step-by-step explanation:

0.095 is tax he just added 9.5 he is not correct

7 0
3 years ago
What is the difference of (Negative 3.4 x + 4.7) minus (3 + 2.9 x)?
jekas [21]

Answer:

negative 6.3 x + 1.7

Step-by-step explanation:

answer for your question

7 0
3 years ago
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What is the height of a parallelogram with base 6 meters and an area of 90 square meters​
bearhunter [10]

Step-by-step explanation:

Given

In a parallelogram

base (b) = 6 meters

Area of parallelogram (A) = 90 m²

height (h) = ?

We know

A = b * h

90 = 6 * h

h = 90 / 6

h = 15 meters.

Hope it will help :)

5 0
2 years ago
Evaluate (8 + t) to the power of three minus 6 when t equals 2
UkoKoshka [18]

Answer:

994

Step-by-step explanation:

First, let's translate the statement into a mathematical expression.

  • (8+t)^3-6

Now, we can evaluate the expression when t = 2.

  • (8+2)^3-6
  • (10)^3-6
  • 1000-6
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4 0
2 years ago
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A sample ofn = 25 scores has a mean of M = 83 and a standard deviation ofs = 15.
givi [52]

Answer:

a) The Sample Standard deviation "measures the spread of a data distribution. It measures the typical distance between each data point and the mean"

b) SE=\frac{15}{\sqrt{25}}=3

Step-by-step explanation:

Previous concepts

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".

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".

Let X the random variable who represents the scores. We know from the problem that the distribution for the random variable X is given by:

X\sim N(\mu =83,\sigma =15)

We take a sample of n=25 nails.  

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}})

Part a

The Sample Standard deviation "measures the spread of a data distribution. It measures the typical distance between each data point and the mean"

Part b

The standard error is given by:

SE=\frac{\sigma}{\sqrt{n}}

And replacing we got:

SE=\frac{15}{\sqrt{25}}=3

3 0
3 years ago
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