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adoni [48]
3 years ago
14

How do i find the standard deviation of test scores

Mathematics
2 answers:
user100 [1]3 years ago
4 0

Answer:

Step-by-step explanation:

Solve for the mean (average) of the five test scores.

Subtract that mean from each of the five original test scores. Square each of the differences.

Find the mean (average) of each of these differences you found in Step 2.

Take the square root of this final mean from #3. This is the standard deviation.

dem82 [27]3 years ago
4 0

Answer:

Look up your score on the web

Example: go to the web and enter 34/41 letter grade

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Colt1911 [192]
Growth because “appreciate” 6% per year

Initial amount = 130000
Growth/decay rate: 0.06

130000(1+0.06)^x

Hope this helps!
7 0
3 years ago
R(x) = (500 + ax) (50 - bx)
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4 0
3 years ago
What is 24^3 - 9 + 8? Factorize if possible please!
Ahat [919]

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13,823

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5 0
2 years ago
Read 2 more answers
Construct a probability distribution for the data.
lianna [129]

Answer:

X : ___ 0 ____ 1 _____ 2 ______ 3

P(X) : _ 6/15 __ 5/15__ 3/15 ____ 1/15

Step-by-step explanation:

From the data, to produce a probability distribution for the data :

X : number of times blood is drawn ;

P(x) : probability that blood is drawn at X times

Hence, the probability distribution table for the data Given goes thus :

X : ___ 0 ____ 1 _____ 2 ______ 3

P(X) : _ 6/15 __ 5/15__ 3/15 ____ 1/15

Probability that blood is drawn 0 times = 6/15

Probability that blood is drawn 1 time = 5/15

Probability that blood is drawn 2 times = 3/15

Probability that blood is drawn 3 times = 1/15

(6/15 + 5/15 + 3/15 + 1/15) = 1

5 0
3 years ago
Or the past 100 years, the average high temperature on october 1 is 78° with a standard deviation of 5°. what is the probability
valina [46]

Answer:

The probability is 0.683

Step-by-step explanation:

To calculate this, we shall be needing to calculate the z-scores of both temperatures

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z-score = (x-mean)/SD

From the question mean = 78 and SD = 5

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z-score = (73-78)/5 = -5/5 = -1

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z-score = (83-78)/5 = 5/5 = 1

So the probability we want to calculate is within the following range of z-scores;

P(-1 <z <1 )

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P(z<1) - P(z<-1)

Using the normal distribution table;

P(-1<z<1) = 0.68269 which is approximately 0.683

3 0
3 years ago
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