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tatiyna
2 years ago
13

Eghit feet less than twice the width translate the exxpression from verbal to algabraic

Mathematics
2 answers:
MAVERICK [17]2 years ago
8 0

Answer:

8-2x

Step-by-step explanation:

wlad13 [49]2 years ago
3 0
8-2x
:) have a great day

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A vitamin C tablet contains 1/40 of a gram of vitamin C. You take 1&1/2 tablets Evry day. How many grams of vitamin C do u t
Alexxandr [17]

Answer:

Either 3/80 grams or 0.0385 grams

Step-by-step explanation:

1 tablet = 1/40 of a gram

1/40 of a gram = 1 ÷ 40 = 0.025 grams

1 tablet = 0.025 grams

1.5 tablets = x

1/1.5 = 0.025 / x                  Cross multiply

x*1 = 0.025 * 1.5                  Combine the factors

x = 0.0375 grams                Convert to a fraction

0.0375 = 3/80

8 0
3 years ago
What is the remainder when 7^85 is divided by 41? How can you solve this without using a calculator?
Leto [7]

Answer:

you are supposed to divide it

Step-by-step explanation:

41divided by 85=

4 0
3 years ago
An interior automotive supplier places several electrical wires in a harness.Apull test measures the force required to pull spli
oksano4ka [1.4K]

Answer:

a) For this case we can use the following R code to construct the qq plot

> data<-c(28.8, 24.4, 30.1, 25.6, 26.4, 23.9, 22.1, 22.5, 27.6, 28.1, 20.8, 27.7, 24.4, 25.1, 24.6, 26.3, 28.2, 22.2, 26.3, 24.4)

# The above line is in order to store the data in a vector

> qqnorm(data, pch = 1, frame = FALSE)

# The line above is in order to calculate the quantiles from the data assumin Normal distribution

> qqline(data, col = "steelblue", lwd = 2)

# The line above is in order to put a line for the theoretical dsitribution

The result is on the figure attached.

b) For this case as we can see on the figure attached the calculated quantiles are not far from the theorical quantiles given byt the straaigth blue line so then we can conclude that the distribution seems to be normal.

Step-by-step explanation:

For this case we have the following data:

28.8, 24.4, 30.1, 25.6, 26.4, 23.9, 22.1, 22.5, 27.6, 28.1, 20.8, 27.7, 24.4, 25.1, 24.6, 26.3, 28.2, 22.2, 26.3, 24.4

The quantile-quantile or q-q plot is a graphical procedure in order to check the validity of a distributional assumption for a data set. We just need to calculate "the theoretically expected value for each data point based on the distribution in question".

If the values are asusted to the assumed distribution, we will see that "the points on the q-q plot will fall approximately on a straight line"

For this case our distribution assumed is normal.

Part a

For this case we can use the following R code to construct the qq plot

> data<-c(28.8, 24.4, 30.1, 25.6, 26.4, 23.9, 22.1, 22.5, 27.6, 28.1, 20.8, 27.7, 24.4, 25.1, 24.6, 26.3, 28.2, 22.2, 26.3, 24.4)

# The above line is in order to store the data in a vector

> qqnorm(data, pch = 1, frame = FALSE)

# The line above is in order to calculate the quantiles from the data assuming Normal distribution (0,1)

> qqline(data, col = "steelblue", lwd = 2)

# The line above is in order to put a line for the theoretical distribution

The result is on the figure attached.

Part b

For this case as we can see on the figure attached the calculated quantiles are not far from the theorical quantiles given byt the straaigth blue line so then we can conclude that the distribution seems to be normal.

4 0
3 years ago
Simplify: − 7( 21 − 16) + 3(9) (24 − 18)
Mekhanik [1.2K]
The answer to the problem is 127
6 0
3 years ago
Read 2 more answers
What does this equal​
BlackZzzverrR [31]
A) The first one equals to 5

Step by step:
Change all denominators to 28, what you do to the bottom you do to the top.

After adding simplify.
8 0
3 years ago
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