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user100 [1]
3 years ago
13

Find a non zero vector in R4which is orthogonal

Mathematics
1 answer:
erastova [34]3 years ago
5 0

Answer:

Please see attachment

Step-by-step explanation:

Please see attachment

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V<br><img src="https://tex.z-dn.net/?f=%20%7Bv%7D%5E%7B2%7D%20%20%20%3D%20%20%7Bu%7D%5E%7B2%7D%20%20%2B%202as%20" id="TexFormula
natulia [17]

Answer:

The area under the line of the velocity-time graph is the distance travelled by the object in the time t.

For example u = 20m/s and t = 300 s

Distance (s) = ut = 20 x 300 = 6000 m

Step-by-step explanation:

8 0
3 years ago
beth has a bread machine that makes a loaf of bread that weight 1 1/2 pounds. if she makes a loaf of bread for each of her three
Mrac [35]
4.5 pounds.
1.5 pounds(3 sisters)= 4.5 pounds
7 0
3 years ago
What is 1/2 + 1/2 + 9 - 11
Step2247 [10]
The answer to this question would be -1.
<span>1/2 + 1/2 + 9 - 11
1/2 + 1/2 = 1
1 + 9 = 10
10 - 11 = -1
Therefore, this will equate to -1.</span>
3 0
4 years ago
Read 2 more answers
The average score of all golfers for a particular course has a mean of 71 and a standard deviation of 3. Suppose 36 golfers play
Zielflug [23.3K]

Answer:

.0228

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

Problems of normally distributed samples are 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.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

In this problem, we have that:

\mu = 71, \sigma = 3, n = 36, s = \frac{3}{\sqrt{36}} = 0.5

Find the probability that the average score of the 36 golfers exceeded 72.

This is 1 subtracted by the pvalue of Z when X = 72. So

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

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

Z = \frac{72 - 71}{0.5}

Z = 2

Z = 2 has a pvalue of 0.9772

1 - 0.9772 = 0.0228

7 0
3 years ago
May I please receive help?<br> Please????
Dafna11 [192]

Answer:

<1=23

Step-by-step explanation:

If WXZ contains both <1 and <2, and <2 is 4 times <1, then we can set this up as x + 4x = 115

This is easily simplified to 5x = 115

Divide both sides by 5 and you will get x=23

6 0
2 years ago
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