The score(s) that will be obtained respectively in an independent-measures design and repeated-measures design are; 1 and 2
<h3>How to interpret Experiments?</h3>
There are different ways to carry out an experiment in mathematics. This is because there are various means of research and also ways to interpret the results.
Now, when comparing two treatment conditions, an independent-measures design would always obtain 1 score for each subject. However, when a repeated-measures design is carried out on the same sample, it will obtain 2 scores.
Read more about Experiments at; brainly.com/question/25677592
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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
mathematically;
z-score = (x-mean)/SD
From the question mean = 78 and SD = 5
For 73
z-score = (73-78)/5 = -5/5 = -1
For 83
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 )
Mathematically, this is same as ;
P(z<1) - P(z<-1)
Using the normal distribution table;
P(-1<z<1) = 0.68269 which is approximately 0.683
Answer:
(4+8)(4) = (x) 3
Step-by-step explanation:
The picture shows two secants intersecting at a point outside the circle. A beautiful pattern for this is: along each secant, the product (multiply) the <em>entire</em> secant by the <em>outside</em> part is the same.
(entire secant)(outside part) = (entire secant)(ouside part)
(4+8)(4) = (x)(3)
