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20 Cards in this Set

  • Front
  • Back

a number that describes some characteristic of a population

this value is only obtainable if all individuals in the population are measured for the variable of interest

sample statistic
a number that describes the sample with regard to the variable of interest

any systematic deviation of values of sample statistics away from the population parameter
what are two sources of random variation
1) measurement error

2) random sample variation
what are three ways to minimize bias
1) selecting representative samples
2) measuring procedure that adequately quantifies the variable of interest
3) personnel are well trained
2 ways to maximize precision
1) large number of subjects in data sample
2) use consistent methodology to collect data

anecdotal data
collected haphazardly, individual cases which may be outliers
two types of random sampling
1) completely random
2) random systematic
what is the purpose of stratified sampling
to give correct weight to the sample statistic computed from each strata of a heterogeneous population
sample study and experiment study are different. what is the goal of a sample study
to estimate the value of a population parameter
what is the goal of an experimental study
determine the cause-effect relationship between treatment variable and response variable

treatment variable
conditions imposed on the study subject

response variable
characteristic of the study subjects that is hypothesized to change as a result of the treatment
what are the 3 conditions necessary for completely random experimental design (20)
1) only one treatment variable (multiple levels of treatment are ok)
2) completely random assignment is possible
3) all extraneous factors can be controlled

randomized block experimental design
comparisons to determine the treatment effect are made within blocks composed of different groups. these groups are defined by variables extraneous to the study which influence response to treatment

factorial experimental design
two or more treatment variables that are thought to interact with one another to influence a single response variable. measurements of the response variable are collected for all possible combinations of different treatment variables and levels

natural experiment
compare samples from two or more populations in their natural environment.

a summary statistic
a summarization of the raw data. examples are averages and such
example of a Distribution:

summary statistics for a set of 1000 values might include picking 20 values that actually occur in the set and 20 values for the number of times that each of the first 20 values occurs in the set. thus 40 values summarizes the 1000 values and is easier to assimilate than 1000!
what are the 5 characteristics of a distribution
1) center: the middle of a range of data values where the most frequently occuring values are often found

2) spread: the ammount of variability in the values away from the center

3) shape: the number of peaks and whether the distribution is symmetric

4) gaps: segments within the range of data values where no values occur

5) outliers: data values that are very different from the other values