1800 cm: 20 m in its simplest form is 9cm : 10 cm
<h3>What is ratio?</h3>
Ratio says how much of one thing there is compared to another thing. Ratio compares value.
Therefore, let's make the unit the same.
0.01 m = 1 cm
20m =
length = 20 / 0.01
length = 2000 cm
Therefore, the ratio is as follows:
1800 cm : 2000 cm
Let's write it in it simplest form.
1800 / 2000 = 9 / 10
Therefore, the simplest form is 9 cm : 10 cm
learn more on ratio here: brainly.com/question/859009
Answer:
286
Step-by-step explanation:
11
26
_________
066 (multiplying 6 and 1 up and diagonal)
220 (adding a zero at the end since we are starting a new line) (same step
as above to get 2 and 2)
+__________
286 (just adding the two numbers together)
Answer:
Step-by-step explanation:
In y = mx + b form, the slope can be found in the m position and the y intercept can be found in the b position.
4x - 2y = -6
-2y = -4x- 6
y = (-4/-2)x -(6/-2)
y = 2x + 3....slope here is 2, and y int is 3
3x + y = 3
y = -3x + 3.....slope here is -3, and y int is 3
B. slopes are different, y intercepts are the same
The missing data value according to the given z-score is <u>39</u>.
We can determine how distant a data point is from the mean using its z-score. It is a crucial subject in statistics. Z-scores are a way to compare data to a population that is considered "normal." When attempting to compare someone's weight to that of the "average" person, for instance, it might be intimidating to look at a large table of data even though we know they weigh 70 kg. A z-score offers us an indication of how that person's weight compares to the mean weight of the general population. We shall discover what the z score is in this post.
The z score is a measurement of how many standard deviations a raw score is below or above the population mean. If the value is higher than the mean, it will be positive; if it is lower, it will be negative. The standard score is another name for it. It shows how far away from the mean an object is, in terms of standard deviations. The mean and population standard deviation must be known to apply a z-score. The likelihood of a score happening inside a typical normal distribution may be calculated with the use of a z score. We may also compare two scores from other samples thanks to it. A z score table is a table that contains the values of, which represent the cumulative distribution function of the normal distribution.
The equation is given by z = (x – μ)/ σ.
μ = mean
σ = standard deviation
x = test value.
In the question, z = -2.1, μ = 43, and σ = 2.
Substituting the values, we get:
-2.1 = (x - 43)/2,
or, x - 43 = -2.1*2,
or, x = -4.2 + 43,
or, x = 38.8 ≈ 39.
Thus, the missing data value according to the given z-score is <u>39</u>.
Learn more about z-scores at
brainly.com/question/10679480
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Woah! A rectangle! Go Amira!