Chapter 1 Chapter 6/7 Chapter 3 Chapter 4 Chapter 5
100
Bar Graph
This is used to represent the distribution of value categories for nominal level variables.
100
If and only If
IFF stands for
100
Independent Variables
Age, gender, race, and income are examples of what?
100
Mean
I am the most reported measure of central tendency.
100
True
T/F A Positive Z score will always have a percentile > 50?
200
Histogram
This like a bar graph uses the height of a bar to display the frequency (y-axis) of a given variable.
200
Spearman Rho
It is the nonparametric version of Pearson's
correlation coefficient.
200
Nominal
This level of measurement has attributes that are exhaustive and mutually exclusive.
200
Standard Deviation
This is always reported along with the mean, it indicates how closely scores cluster around the mean.
200
1. Fisher's &Pearsons Skewness coefficient.
2. Histogram & Probability plots
Which two methods are used to examine whether a distribution is skewed or asymmetrical?
300
Frequency Distribution Table
It is an arrangement of values ( attributes) that shows the number of items ( Frequency) a given value ( score) or group of values occurs.
300
Scatterplot
A useful graphical presentation of the relationship between two continuous variables.
300
Null Hypothesis
There are no statistically significant relationships among the IV and DV or no statistically significant difference among groups IV with regard to the DV.
300
25th, 50th, 75 percentiles.
Quartiles are the (blank) percentiles?
300
Nominal Distribution
What kind of distribution is this?

show image
400
Polygraph
What type of graph is this?
Image
400
T
This value of the independent t‐test is the difference
between between the means of the two groups in standard standard
deviations units.
400
Reliability
The coefficient ranges from 0-1.
400
Boxplot
This does not provide as much information as a histogram or stem and leaf plot.
400
Negative
A raw score below the mean will always have a _z-score?
500
Absolute Frequency Distribution
This has four components Absolute frequency, cumulative frequency, percentage, cumulative percentage.
500
Samples mean and the P populations mean
The t value is the difference between what two standard deviation units (that is, standard errors = standard
500
cronbach's alpha formula
picture
500
Nominal
With this the mode of the only measure to be used.
500
Z(104)=104-100/16=.25
Assume you scored 104 on an IQ test. The mean of all the scores is 100 with a standard deviation of 16. What would the z-score be?






Data Anaysis Group 4

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