Which statements accurately describe how to determine the y-intercept and the slope from the graph below?
2 answers:
You might be interested in
Answer:
<u>All the four statements are true , which are -</u>
(A) The subset contains contains of all the outfits that have grey slacks .
(B) The subset contains contains of all the outfits that have grey slacks and red tie .
(C) The subset contains contains of all the outfits that have grey slacks and blue shirt .
(D) The subset contains contains of all the outfits that do not have black slacks .
Step-by-step explanation:
<u>We are given with Outfit 2 , 4 and 6</u>
Outfit 2 - Blue grey red
Outfit 4 - White grey red
Outfit 6 - Black grey red
(A) Since only 2,4, and 6 contain grey slacks, and no other outfit contains grey slacks, those are the subsets that contain grey slacks. Thus , this statement is true .
(B) Just outfits 2, 4, and 6 have grey slacks and a red tie, proving the statement. Other clothes do not include grey slacks and a red tie; they may include a red tie but not both grey slacks and a red tie. Hence , the statement is true .
(C) Since the outfit 2 has grey slacks and a blue shirt, the statement is correct; no other outfit has both grey slacks and a blue shirt. Therefore , this statement is also correct .
(D) The argument is correct since all of the subsets contain grey slacks and no black slacks.
Hence , all the options A , B , C , D are correct and describes the subset .
<u>The given question is incomplete , the complete question is attached here - </u>
Answer:
a) The percentage of bone density scores that are significantly high is 2.28%
b) The percentage of bone density scores that are significantly low is 2.28%
c) The percentage of bone density scores that are not significant is 95.44%
Step-by-step explanation:
Problems of normally distributed samples are solved using the z-score formula.
In a set with mean and standard deviation
, the zscore of a measure X is given by:
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.
a. significantly high (or at least 2 standard deviations above the mean).
This is 1 subtracted by the pvalue of Z = 2.
Z = 2 has a pvalue of 0.9772
1 - 0.9772 = 0.0228
2.28% of scores are signifcantly high
b. significantly low (or at least 2 standard deviations below the mean).
pvalue of Z = -2
Z = -2 has a pvalue of 0.0228
2.28% of scores are signicantly low.
c. not significant (or less than 2 standard deviations away from the mean).
pvalue of Z = 2 subtracted by the pvalue of Z = -2.
Z = 2 has a pvalue of 0.9772
Z = -2 has a pvalue of 0.0228
0.9772 - 0.0228 = 0.9544
95.44% of the scores are not significant