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Neko [114]
3 years ago
15

which of the following statistical techniques can the psychologist use to determine the developmental score of a typical 4 year

old child despite the fact that no 4 year old children participated in the study
Mathematics
1 answer:
anzhelika [568]3 years ago
5 0

Your question is incomplete, as you have not listed the following statistical techniques.

But I wish to help you, with the correct answer, that is likely one of the option.

ANSWER : INFERENTIAL STATISTICS

Step-by-step explanation: Inferential statistics is a statistical inference, where conclusion is drawn using a set of data that are not gotten from the sample study, but are assumed to relate with the sample study. This type of statistics relies on a probability, that the assumed data used to analyze a sample can be used to study the properties of that sample.

Therefore, for a psychologist to determine the developmental score of a four year old child, without the child participating in the study, the psychologist is most likely to use the scores of other who as participated in the study, to infer as the same with the score of a four year old child.

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Solve the following formula for b<br><br> y=6(5a+3b)<br> what does b equal
Ratling [72]

Answer:

30a + 18b

Step-by-step explanation:

6(5a+3b)

Just multiply the six in both numbers

( 6x5a) + (6x3b)

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Hope this helps =)

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Compute the permutations and combinations. 4 P 4<br> A) 1<br> B) 4<br> C) 24
Elenna [48]
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4 years ago
John has two jobs. For daytime work at a jewelry store he is paid
djyliett [7]

Given Information:

John's mean monthly commission = μ = $10,000

Standard deviation of monthly commission = σ =  $2,000

Answer:

P(9,000 < X < 11,000) = 0.383\\\\P(9,000 < X < 11,000) = 38.3 \%

The probability that John's commission from the jewelry store is  between $9,000 and $11,000 is 38.3%

Step-by-step explanation:

What is Normal Distribution?

We are given a Normal Distribution, which is a continuous probability distribution and is symmetrical around the mean. The shape of this distribution is like a bell curve and most of the data is clustered around the mean. The area under this bell shaped curve represents the probability.  

We want to find out the probability that John's commission from the jewelry store is  between $9,000 and $11,000?

P(9,000 < X < 11,000) = P( \frac{x - \mu}{\sigma} < Z < \frac{x - \mu}{\sigma} )\\\\P(9,000 < X < 11,000) = P( \frac{9,000 - 10,000}{2,000} < Z < \frac{11,000 - 10,000}{2,000} )\\\\P(9,000 < X < 11,000) = P( \frac{-1,000}{2,000} < Z < \frac{1,000}{2,000} )\\\\P(9,000 < X < 11,000) = P( -0.5 < Z < 0.5 )\\\\P(9,000 < X < 11,000) = P( Z < 0.5 ) - P( Z < -0.5 ) \\\\

The z-score corresponding to 0.50 is 0.6915

The z-score corresponding to -0.50 is 0.3085

P(9,000 < X < 11,000) = 0.6915 - 0.3085 \\\\P(9,000 < X < 11,000) = 0.383\\\\P(9,000 < X < 11,000) = 38.3 \%

Therefore, the probability that John's commission from the jewelry store is  between $9,000 and $11,000 is 38.3%

How to use z-table?

Step 1:

In the z-table, find the two-digit number on the left side corresponding to your z-score. (e.g 1.4, 2.2, 0.5 etc.)

Step 2:

Then look up at the top of z-table to find the remaining decimal point in the range of 0.00 to 0.09. (e.g. if you are looking for 0.50 then go for 0.00 column)

Step 3:

Finally, find the corresponding probability from the z-table at the intersection of step 1 and step 2.

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4 years ago
The tap drips 25 drops in I min​
Alex_Xolod [135]

Answer:

60 divided 25

Step-by-step explanation:

8 0
2 years ago
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