CRIM 320 Lecture Notes - Lecture 4: Unimodality, Normal Distribution, Statistical Hypothesis Testing

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blueseal520

13 Apr 2012

School

Simon Fraser University

Department

Criminology

Course

CRIM 320

Professor

Patrick Lussier

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Document Summary

The entire set of elements in which we are interested in. Need to define a target population by specifying: unit of analysis (situations, individuals, groups, institutions etc, geographical location & temporal boundaries. The distribution of scores represents the population distribution. Usually, we don"t know much about the characteristics of the population distribution. We usually don"t know much about the population distribution because very rare do we know the data of the entire population. A subset of elements from the larger population. Importance of representativeness: random sampling i. e. , all units of population have equal chance of being selected. The distribution of scores represents the sample distribution. Can analyze sample distribution through descriptive statistics. Make sure it is representative of your sample, meaning must be a random selection (everyone has an equal chance of being in the study). Inferential stats use the sample to infer something regarding the original population.

Related Questions

A probability distribution for all possible values of a sample statistic is known as
A.normal distribution
B. uniform distribution random c.sampling sampling distribution
D.sampling distribution

A function of a random variable which describes the probability that random variable is
Select one
A.Probability distribution function
B. Discrete random variable
C. Sampling distribution function
D. Continuous random variable

Consider the normal distribution the vanability is increased and the height of the curve is decreased for the
A. Larger value of standard deviation
B. Smaller value of mean
C. Smaller valie of stabdard deviation
D. Larger value of mean

The sampling destination of the sample mean is a distribution of
A. Sample statistic /estimator
B. individual population values
C. individual sample values
D. Population parameters

The sampling distribution of the mean is distribution of
A. Sample statistic
B. Population parameters
C. individual population values
D. individual sample values

periwinkleelephant946

Which of the following statements about population distribution is not true?

a. Population distribution can be even, clumped, or random.

b. Population distribution applies only to animals.

c. A population distribution shows where organisms are located.

d. A population distribution shows the arrangement of organisms in a location.

scarletmuskrat214

Which of the following is NOT a property of the sampling distribution of the variance?
a. The sample variances target the value of the population variance.
b. The mean of the sample variances is the population variance.
c. The distribution of sample variances tends to be a normal distribution.
d. The expected value of the sample variance is equal to the population variance.

lilaccicada202

CRIM 320 Lecture Notes - Lecture 4: Unimodality, Normal Distribution, Statistical Hypothesis Testing

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