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2 years ago

Give me a explanation for Rotation.

Mathematics

1 answer:

arsen [322]2 years ago

6 0

Answer:

An object and its rotation are the same shape and size, but the figures may be turned in different directions. • Rotations may be clockwise or counterclockwise.

You might be interested in

Determine whether the following examples of data are quantitative or qualitative. (a) The occupation of your neighbors. Answer:

gavmur [86]

Answer:

a) Qualitative

b) Qualitative

c) Quantitative

d) Quantitative

Step-by-step explanation:

A variable is quantitative if it assumes numerical values, for example 1,2,3.

If it assumes "labels", for example good or bad, it is qualitative.

(a) The occupation of your neighbors. Answer:

Labels. Teacher, trainer, athlete, ...

So it is qualitative

(b) The martial status of your coworkers. Answer:

Labels: Married, single,..

So it is qualitative

(c) Your college GPA. Answer:

Numeric, 2,3,...

So it is quantitative

(d) The amount of bacteria on a piece of moldy bread

Numeric, 0.5mm, etc

So it is quantitative

4 0

3 years ago

Find the GCF of each pair of monominals 54gh,72g

wel

18 is the answer I believe hopefully this is correct

7 0

2 years ago

Hannah is saving for a trip during the upcoming summer break. She recorded the total amount of money she had in her trip account

EleoNora [17]

D) is correct.

Looking at the graph, it goes through the point (2, 200) and is very near the point (3, 300). This means it increases by nearly 100 every month; this tells us how much she saves each month.

3 0

2 years ago

Read 2 more answers

For a particular diamond mine, 81% of the diamonds fail to qualify as "gemstone grade". A random sample of 92 diamonds is analyz

Fed [463]

Answer:

68.79% probability that more than 79% of the sample diamonds fail to qualify as gemstone grade

Step-by-step explanation:

We use the binomial approximation to the normal to solve this question.

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

$E(X) = np$

The standard deviation of the binomial distribution is:

$\sqrt{V(X)} = \sqrt{np(1-p)}$

Normal probability distribution

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

When we are approximating a binomial distribution to a normal one, we have that $\mu = E(X)$ , $\sigma = \sqrt{V(X)}$ .