KIN 610: Mid Term Review Exam #1

Exam Parts: A (hand calculations) and B (Excel)

• Monday Office Hours On-Line: 5-7 PM

Chapter #1:

• IV, DV, Hypoth testing

Chapter #2:

• Organizing data by: rank order, cumulative, frequency distribution (scores and frequency)
• Tables and figures: Don’t label as histogram if it is obviously a histogram. 
• Use period at end of title
• Use sentence structure with only first word capitalized
• Label axes clearly
• Put units in full words i.e. Height (in inches)
• Frequency=y axis
• =x axis
• What sample or population it was taken from in title
• Table titles go on top; figure titles go on bottom

Chapter #3:

• Determine % from Z table
• Don’t worry about quartiles

Chapter #4:

• Central Tendency

Chapter #5:

• Variability:  “Describe” means to explain meaning specific to that population data set.
• “Normal” curve description i.e. what it looks like and means
• Z Score:  What it represents
• %:  How to get it from Z table
• LOC:  How confident are you in the correlation i.e. affected by the spread of scores.
• ­N>reduced effect of variability around the mean

Class Q & A Review

·        Have a Z score but need to find %:  Z=-1>-1=15.87%

o       State Above: 84% of group scored above this person who was at 16% percentile based on the normal distribution.

o       Whatever is below the % of standing area under the curve tells the person’s standing in the population. 

·        Variability is error (in part):

o       ­Variability>¯Confidence (clear separation in scatter plot between points)

o       ¯Variability>­Confidence (no clear area of separation so can’t be as confident if you wanted to just pull out one sample as an example of the whole population)

·        T Test=compares two means

·        See Week #3 hotlinks on website and read all.

·        Degrees of Freedom:  When you only have a sample.  If you have N, you don’t need to estimate whole group because you already have it with your N.  Most of the time it is NOT feasible to test the whole N—you have to get a sample of n.

·        “Power” in your study is whether you have the power to find significance.

o       Stat Power=­N or ­n

o       ­N=¯what you need to find significance

·        Correlation:  Examines the relationship between two variables measured on the SAME person i.e. bivariate. 

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