All categories

3 years ago

Method of Transportation Percent of Students

Mathematics

1 answer:

eduard3 years ago

5 0

No. Because she only asked the people who was walking to school

You might be interested in

HELP ASAP

Cloud [144]

Answer:

True

Step-by-step explanation:

For example:

HCF of 2 and 3 is 1

5 0

2 years ago

Read 2 more answers

What is the reflection in the x-axis & what’s the reflection in line y=x?

marishachu [46]

Answer:

a) (3, -4), (2, 4), (-5, -6)

b) (4, 3), (-4, 2), (6, -5)

Step-by-step explanation:

a) Reflection in the x-axis negates the y-coordinate:

(x, y) ⇒ (x, -y)

(3, 4) ⇒ (3, -4)

(2, -4) ⇒ (2, 4)

(-5, 6) ⇒ (-5, -6)

b) Reflection in the line y=x swaps the x- and y-coordinates:

(x, y) ⇒ (y, x)

(3, 4) ⇒ (4, 3)

(2, -4) ⇒ (-4, 2)

(-5, 6) ⇒ (6, -5)

8 0

3 years ago

Which of the following best describes a function? Select all that apply

enot [183]

Answer:

Where are the answer choice's??

Step-by-step explanation:

3 0

2 years ago

Read 2 more answers

What happens to the volume of a square pyramid if the base dimensions remain the same, but the height is cut to one third of the

Nadya [2.5K]

The volume becomes 1/3 of the original. With a rectangular base, volume of a pyramid is V=(length*width*height)/3. Cutting the height to 1/3 of the original length will make the total volume 1/3 of the original volume.

5 0

3 years ago

Consider a data set containing the following values: 70 65 71 78 89 68 50 75 The mean of the preceding values is 70.75. The devi

Leokris [45]

Answer:

If this is the sample data, the sample variance is 125.07 and the sample standard deviation is 11.18

If this is a population data, the population variance is 109.44 and the population standard deviation is 10.46

Step-by-step explanation:

We are given the following data-set:

70, 65, 71, 78, 89, 68, 50, 75

Deviations from the mean

–0.75, –5.75 , 0.25, 7.25, 18.25, –2.75, –20.75, 4.2

Sample size, n = 8

Sample:

$\text{Standard Deviation} = \sqrt{\displaystyle\frac{\sum (x_i -\bar{x})^2}{n-1}}$

where $x_i$ are data points, $\bar{x}$ is the mean and n is the number of observations.

Sum of squares of differences =

0.5625 + 33.0625 + 0.0625 + 52.5625 + 333.0625 + 7.5625 + 430.5625 + 18.0625 = 875.5

$s = \sqrt{\dfrac{875.5}{7}} = 11.18$

$\text{ Sample variance} = s^2 = 125.07$

Population:

$\text{Standard Deviation} = \sqrt{\displaystyle\frac{\sum (x_i -\bar{x})^2}{n}$

where $x_i$ are data points, $\bar{x}$ is the mean and n is the number of observations.

Sum of squares of differences =

0.5625 + 33.0625 + 0.0625 + 52.5625 + 333.0625 + 7.5625 + 430.5625 + 18.0625 = 875.5

$\sigma = \sqrt{\dfrac{875.5}{8}} = 10.46$

$\text{ Population variance} = \sigma^2 = 109.44$

7 0

3 years ago