Answer:
Step-by-step explanation:
a) The formula for determining the standard error of the distribution of differences in sample proportions is expressed as
Standard error = √{(p1 - p2)/[(p1(1 - p1)/n1) + p2(1 - p2)/n2}
where
p1 = sample proportion of population 1
p2 = sample proportion of population 2
n1 = number of samples in population 1,
n2 = number of samples in population 2,
From the information given
p1 = 0.77
1 - p1 = 1 - 0.77 = 0.23
n1 = 58
p2 = 0.67
1 - p2 = 1 - 0.67 = 0.33
n2 = 70
Standard error = √{(0.77 - 0.67)/[(0.77)(0.23)/58) + (0.67)(0.33)/70}
= √0.1/(0.0031 + 0.0032)
= √1/0.0063
= 12.6
the standard error of the distribution of differences in sample proportions is 12.6
b) the sample sizes are large enough for the Central Limit Theorem to apply because it is greater than 30
Answer:
probability she does not win badminton: 1/10
probability she does not win tennis: 3/5
not sure what the other tree is supposed to be
i think the probability of her winning both is 11/15
Step-by-step explanation:
i havent done this in a while so i could be wrong:/ sorry if it is
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
#SPJ4
Answer:
Number of Ways = ₄P₄ = 24
Step-by-step explanation:
Given that there are going to be 4 dignitaries, and that they are sensitive to the order (i.e the order of the dignitaries matter), hence the total number of ways they can be arranged can be found by permutating 4 dignitaries.
i.e
Number of Ways = ₄P₄ = 24
5
where are you people getting these like lol
