Questions
Calculate the mean and the standard deviation for the Age
variable. M = 19.62, SD = 4.43 (rounded to hundredth)
If you add another 18 year old to the sample, what happens with
the mean? Why would this happen?
Adding another score (age) of 18 would reduce the mean. As mean is
the average of scores, the addition of an 18 year old (which represents
the lowest age) would reduce the mean.
- Determine if females (coded as 0) or males (coded as 1) have a
higher mean Score.
Females M = 329.48 (hihger) than Males M = 315.00
- Determine if Sophomores (coded as 2) or Juniors (coded as 3) have a
higher variance on the Score variable.
Sophomores (261.75) had higher variance on scores than Juniors
(144.01)
- What is the standard deviation for the group that was higher in
question 4? Sophomore standard deviation is 4.43.
#end of answers
#Hand Calculations
- steps to calculate mean
#Calculate the sum of the Age Variable
ssum = sum(EJackson_HW2$age)
#Calculate the sample size
n = length(EJackson_HW2$age)
#Calculate the mean
smean = ssum/n
Sum: 569 / Sample size: 30 / Mean: 18.97
#1. steps to calculate standard deviation
#Squared mean differences
smdiff = (EJackson_HW2$age)
#Sum of squares
SS = sum(smdiff)
#Variance
variance = SS/(n-1)
#Results
##Sum of squares: 569 / Variance: 19.6
SD = sqrt(variance)
Standard Deviation: 4.4295
Question 3
#Determine level of measurement of biosex
is.factor(EJackson_HW2$biosex)
#The answer was false, so …
EJackson_HW2\(biosex =
factor(EJackson_HW2\)biosex)
#Subset the data
Males = subset(EJackson_HW2, EJackson_HW2$biosex == ‘1’)
Females = subset(EJackson_HW2, EJackson_HW2$biosex == ‘0’)
#Determine mean of females (0)
ssum = sum(Females$score)
n = length(Females$score)
mmean = sum(Females\(score)/length(Females\)score)
#Results for Females
Sum: 5271.69 / Sample size: 16 / Mean: 329.48
#Determine mean of Males (1)
ssum = sum(Males$score)
n = length(Males$score)
mmean = sum(Males\(score)/length(Males\)score)
#Results for Males
Sum: 4409.97 / Sample size: 14 / Mean: 314.99
Question 4
#Subsetting Class Rank
Sophomores = subset(EJackson_HW2, EJackson_HW2$classrnk == ‘2’)
#finding the SD for Sophmores
mmean = sum(Sophomores\(score)/length(Sophomores\)score)
msmdiff = (Sophomores$score - mmean)^2
mSS = sum(msmdiff)
mVariance = mSS/(length(Sophomores$score) - 1)
mSD = sqrt(mVariance)
SD = sqrt(variance)
Standard Deviation for Sophomores is 4.43, variance 261.75
#Subsetting Class Rank
Juniors = subset(EJackson_HW2, EJackson_HW2$classrnk == ‘3’)
#finding the SD for Juniors
mmean = sum(Juniors\(score)/length(Juniors\)score)
msmdiff = (Juniors$score - mmean)^2
mSS = sum(msmdiff)
mVariance = mSS/(length(Juniors$score) - 1)
mSD = sqrt(mVariance)
SD = sqrt(variance)
Standard Deviation for Juniors is 4.43, variance 144.01
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