CH 8
What term is the measurements representing all individuals?
Parameters
What type of data can be used for a contingency table?
categorical data
How to find IQR
Q3-Q1=IQR
If r=.25 how strong is the linear relationship?
weak positive
Stemplot's show which type of data?
Quantitate data
Every 8th person coming out of a grocery store is surveyed what kind of sampling is this?
Systematic
What are 2 graphs that can be used for categorical data?
bar chart and pie chart
If the distribution is skewed to the right the median is ________ the mean
less than
What is the range of correlation?
-1<=r<=1
Name three unusual points
outliers, leverage, and influential
2 key difference between a histogram and a bar chart
bar chart is used for categorical data and is not touching
What type of graphs that should be avoided?
3D graphs
Which center and spread is used for a normal distribution?
mean and standard deviation
True or False: If r=0 there is no relationship
false, no linear relationship
The difference between cluster and stratified sampling
cluster is all from some and stratified is some from all
The difference between a single blind and double blind experiment
Single blind experiment only the researchers are aware
Can a frequency table be used for quantitative data?
Yes, it can be used for categorical data too!
How to find the location of the mean
n+1/2
If the slope is negative what is the value of the correlation coefficient when R2=92.4%?
r=-.9612
If there is no pattern, this is indicative of ______________ power
good predictive
The difference between retrospective and prospective studies
retrospective study looks to the past, and prospective looks to the future
how to find relative frequency?
rf=f/n
Find the Z-score: Aly scored a 87 in her humanities class. The class results were distributed with a mean of 82 and a standard deviation of 2.4.
Z=2.08
Find the residual for the linear regression equation below when the x is equal to 6 and y equals 9.5:
y^=7+.242x
e=1.048
If a residual is negative is it an underestimate or overestimate?
overestimate