Homework #10

Correlation between height and weight:

Height 1.0000000 Weight 0.5379353

Summary statistics:

Height           Weight

Min. :  59.00    Min. :  108.0
1st Qu.:67.00    1st Qu.:142.5
Median :69.00    Median :155.0
Mean :  69.12    Mean :  159.9
3rd Qu.:72.50    3rd Qu.:173.0
Max. :  74.00    Max. :  250.0
Std Dev: 3.98    Std Dev: 28.9

Scatterplot:

WebStat:

1. Labor force participation rate of women for 1968 and '72 for 19 cities according to the US Dept of Labor Statistics.
2. The difference was zero in only 4 out of 19 cities. Pval=0.024 so Ho is rejected at the 5% confidence level.
3. 1972: mean= 0.5268 var= 0.0050 s= 0.0708 median= 0.53
4. 1968: mean= 0.4932 var= 0.0046 s= 0.0680 median= 0.5
5. I did a means plot to display the data.

XploRe:

hw#1

library("XploRe")
x = readm("user")
z = x.double[ , 3]
library ("plot")
plothist(z)
plotbox(z)



library("XploRe")
x = readm("user")
z = x.double[ , 5]
library ("plot")
plothist(z)
plotbox(z)

hw#2

library("XploRe")
x = readm("user")
y = x.double[ , 5|4]
y1 =3D y[ , 1]
y2 =3D y[ , 2]
library("stats")
{b, bse, bstan, bpval} =3D linreg(y1, y2)



library("plot")
plot(y)
regy=3Dgrlinreg(y)
plot(y, regy)

After loading the data into Statlets, I changed the outlier 103 to 67 inches then did a t-test.

95% confidence interval: [68.3,70.8]
H0: mu=68", we do reject.

Another reason: Not only do we get this result from the applet, we know we will reject because 68.0 does not fall within this interval. Would not reject for any value of mu that is within the interval [68.3,70.8]

Roxanne Drachenberg
(435) 752-8375
roxanned@pcu.net