Q. so it wasnt long ago when i got blood out of me. i got a letter from the mail today saying im referred to a cardiology and nutritionist, and the near middle it saids this:
"Diagnosis: Obesity, Hyperlipidemia" , So do i have hyperlipidemia and obesity. Best Answer Get Max Points. Thank you for responding.
So by you saying yes i do have it but it can be diagnosis.
"Diagnosis: Obesity, Hyperlipidemia" , So do i have hyperlipidemia and obesity. Best Answer Get Max Points. Thank you for responding.
So by you saying yes i do have it but it can be diagnosis.
A. Hyperlipidemia is just a fancy name for high cholesterol. So, you are apparently overweight and have high cholesterol - these two things usually occur together and both are usually diet-related.
How does hypertention, hyperlipidemia, and smoking, participate in the pathophysiology of atherosclerosis?
Q.
A. http://en.wikipedia.org/wiki/Atherosclerosis
Cigarette-endothelial dysfunction and a relatively hypercoagulable state
hypertention-morphologic alterations of the arterial intima and functional alterations of the endothelium
hyperlipidemia- Endothelial injury
Bottom line- All risk factors cause endothelial dysfunction which is the earliest manifestation of atherosclerosis
Cigarette-endothelial dysfunction and a relatively hypercoagulable state
hypertention-morphologic alterations of the arterial intima and functional alterations of the endothelium
hyperlipidemia- Endothelial injury
Bottom line- All risk factors cause endothelial dysfunction which is the earliest manifestation of atherosclerosis
a study reported that the prevalence of hyperlipidemia is 30% in children 2 to 6 years of age. if 12 children?
Q. are analyzed: a) what is probability that at least 3 are hyperlipidemia? b) what is the probability that exactly 3 are hyperlipidemic? and c) how many would be expected to meet the criteria for hyperlipidemia?
A. a. ANSWER: PROBABILITY = 0.75 at least 3 are hyperlipidemia
Why???
BINOMIAL DISTRIBUTION, POPULATION PROPORTION
n = NUMBER OF TRIALS [ 12] (sample size)
k = NUMBER OF SUCCESSES [2] (from 0 up to and including k NUMBER OF SUCCESSES)
p = POPULATION PROPORTION [30%]
significant digits2
COMPUTATION OF BINOMIAL PROPORTION:
P(k => 3) = 1 - P(k ⤠2) = 1 - n!/[k!*(n - k)!] * p^k * (1 - p)^(n - k)
0.75 = 12!/[2!*(12 - 2)!] * 0.3^2 * (1 - 0.3)^(12 - 2)
ALTERNATIVE COMPUTATION USING EXCEL:
"Look-up" value of PROBABILITY = 0.75 = 1 - BINOMDIST ( 2 , 12 , 30/100 , TRUE )
"Using Excel function: BINOMDIST(number_s, trials, probability_s, cumulative)
Number_s is the number of successes in trials. [ 12 ]
Trials is the number of independent trials. [ 2 ]
Probability_s is the probability of success on each trial. [ 30]"
Cumulative is a logical value that determines the form of the function. If cumulative is TRUE, then BINOMDIST returns the cumulative distribution function, which is the probability that there are at most number_s successes; if FALSE, it returns the probability mass function, which is the probability that there are number_s successes.
b. ANSWER: PROBABILITY = 0.24 exactly 3 are hyperlipidemic
Why???
BINOMIAL DISTRIBUTION, POPULATION PROPORTION
n = NUMBER OF TRIALS [ 12] (sample size)
k = NUMBER OF SUCCESSES [3] (Exactly 3 NUMBER OF SUCCESSES)
p = POPULATION PROPORTION [30%]
significant digits2
COMPUTATION OF BINOMIAL PROPORTION:
P(k = 3) = n!/[k!*(n - k)!] * p^k * (1 - p)^(n - k)
0.24 = 12!/[3!*(12 - 3)!] * 0.3^3 * (1 - 0.3)^(12 - 3)
ALTERNATIVE COMPUTATION USING EXCEL:
"Look-up" value of PROBABILITY = 0.24 =BINOMDIST ( 3 , 12 , 30/100 , FALSE )
"Using Excel function: BINOMDIST(number_s, trials, probability_s, cumulative)
Number_s is the number of successes in trials. [ 12 ]
Trials is the number of independent trials. [ 3 ]
Probability_s is the probability of success on each trial. [ 30]"
Cumulative is a logical value that determines the form of the function. If cumulative is TRUE, then BINOMDIST returns the cumulative distribution function, which is the probability that there are at most number_s successes; if FALSE, it returns the probability mass function, which is the probability that there are number_s successes.
c. ANSWER: (approx) 4 children expected to be hyperlipidemic
Why???
SAMPLE SIZE * POPULATION PROPORTION = EXPECTED [12 * 0.3 = (approx) 4]
Why???
BINOMIAL DISTRIBUTION, POPULATION PROPORTION
n = NUMBER OF TRIALS [ 12] (sample size)
k = NUMBER OF SUCCESSES [2] (from 0 up to and including k NUMBER OF SUCCESSES)
p = POPULATION PROPORTION [30%]
significant digits2
COMPUTATION OF BINOMIAL PROPORTION:
P(k => 3) = 1 - P(k ⤠2) = 1 - n!/[k!*(n - k)!] * p^k * (1 - p)^(n - k)
0.75 = 12!/[2!*(12 - 2)!] * 0.3^2 * (1 - 0.3)^(12 - 2)
ALTERNATIVE COMPUTATION USING EXCEL:
"Look-up" value of PROBABILITY = 0.75 = 1 - BINOMDIST ( 2 , 12 , 30/100 , TRUE )
"Using Excel function: BINOMDIST(number_s, trials, probability_s, cumulative)
Number_s is the number of successes in trials. [ 12 ]
Trials is the number of independent trials. [ 2 ]
Probability_s is the probability of success on each trial. [ 30]"
Cumulative is a logical value that determines the form of the function. If cumulative is TRUE, then BINOMDIST returns the cumulative distribution function, which is the probability that there are at most number_s successes; if FALSE, it returns the probability mass function, which is the probability that there are number_s successes.
b. ANSWER: PROBABILITY = 0.24 exactly 3 are hyperlipidemic
Why???
BINOMIAL DISTRIBUTION, POPULATION PROPORTION
n = NUMBER OF TRIALS [ 12] (sample size)
k = NUMBER OF SUCCESSES [3] (Exactly 3 NUMBER OF SUCCESSES)
p = POPULATION PROPORTION [30%]
significant digits2
COMPUTATION OF BINOMIAL PROPORTION:
P(k = 3) = n!/[k!*(n - k)!] * p^k * (1 - p)^(n - k)
0.24 = 12!/[3!*(12 - 3)!] * 0.3^3 * (1 - 0.3)^(12 - 3)
ALTERNATIVE COMPUTATION USING EXCEL:
"Look-up" value of PROBABILITY = 0.24 =BINOMDIST ( 3 , 12 , 30/100 , FALSE )
"Using Excel function: BINOMDIST(number_s, trials, probability_s, cumulative)
Number_s is the number of successes in trials. [ 12 ]
Trials is the number of independent trials. [ 3 ]
Probability_s is the probability of success on each trial. [ 30]"
Cumulative is a logical value that determines the form of the function. If cumulative is TRUE, then BINOMDIST returns the cumulative distribution function, which is the probability that there are at most number_s successes; if FALSE, it returns the probability mass function, which is the probability that there are number_s successes.
c. ANSWER: (approx) 4 children expected to be hyperlipidemic
Why???
SAMPLE SIZE * POPULATION PROPORTION = EXPECTED [12 * 0.3 = (approx) 4]
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