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irina [24]
3 years ago
12

diana bnrought a car for 5,000 and plan to sell it to make a 20% profit .what should she sell it for to make the profit she desi

res
Mathematics
1 answer:
Vikentia [17]3 years ago
4 0
$6,000


5,000•1.2=$6,000
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What is 88.6 rounded to the nearest whole number?
Vladimir [108]

Answer:

89

Step-by-step explanation:

This is how to round 88.6 to the nearest whole number. In other words, this is how to round 88.6 to the nearest integer. 88.6 has two parts. The integer part to the left of the decimal point and the fractional part to the right of the decimal point: Integer Part: 88 Fractional Part: 60 Our goal is to round it so we only have an integer part using the following rules: If the first digit in the fractional part of 88.6 is less than 5 then we simply remove the fractional part to get the answer. If the first digit in the fractional part of 88.6 is 5 or above, then we add 1 to the integer part and remove the fractional part to get the answer. The first digit in the fractional part is 6 and 6 is 5 or above. Therefore, we add 1 to the integer part and remove the fractional part to get 88.6 rounded to the nearest whole number as: 89

8 0
3 years ago
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How many times greater is one minute than one second
e-lub [12.9K]
It is 60 times greater than a second.
5 0
3 years ago
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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
In a long-jump competition, Connor jumped 160 centimetres.
xeze [42]

Answer:

290 cm

Step-by-step explanation:

There are 100 centimeters in a meter so 1.3m*100 is 130cm

130+160cm is 290cm.

6 0
2 years ago
PLEASE HELP ME ASAP!!!!!
melisa1 [442]

Answer:

4.5

Step-by-step explanation:

7 0
3 years ago
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