SOC 305 EXAM 2 CHAE

true

a researcher will have more confidence that the sample mean estimates the unknown population mean when the sample size is larger

true

an important use of the probability distribution is that they enable a researcher to make a decision about the relationship between 2 variable that are tested empirircally in a situation of uncertainty

confidence interval

the margin of error around the point estimate that consists of a range of values in to which the population value falls

probability

the number of times a specific event can occur relative to the total number of times that any event can occur

interquartile range

the range of the middle 50% of scores in a data set

Z distribution

used for a sample size smaller then 30

true

when a researcher says they are 99% confident they are saying that the population mean will not fall within the confidence interval 1% of the time

true

when an event is an independent event, its occurrence does not affect nor is it affected by another events occurance

true

when calculating the confidence interval for a small sample the T distribution is utilized the obtain the critical value

population mean

U (meu)

sample mean

X bar

Central Limit Theorem

an infinite number of random samples of size n are drawn from any population with mean and standard deviation, then as the sample size becomes larger, the sampling distribution of sample means will approach normality even if the population distribution is not normally distributed

increases

as a sample size ___________________ the SD of the sampling distribution decreases indication that the sample means cluster more tightly around the population mean

a binomial distribution has a variable that

consists of 2 categories

false

given a continuous x score that is 1.95 SD from the mean, one would conclude that this would be a rare or unusual event

false

if 2 different sets of data have the same range the variability for both sets has to be the same

false

if the sample size is larger then 120 the T distribution is used instead of the Z distribution

true

if the variance has to be calculated the researcher then only needs to take the square root of it to find the standard deviation

measures of dispersion aka variability

measures that capture differences within a variable.

usual

1.99 (usual or unusual)

unusual

2.01 (usual or unusual)

Lance loves you and knows you will do wondful

4-8-2019

true

99% of scores fall between 3 and -3 SD from the mean

true

a researcher wants to understand the probability of jury verdicts. this is an example of a variable that would be considered a binomial variable (guilty VS not guilty)

N

number of trials or sample size

true

point estimates are the estimate of the mean and proportion we obtain from a sample

P

probability of a successful outcome in a SINGLE trial

false

researcher prefer to report the variance instead of the standard deviation because it is easier to interpret and understand

true

the 99% confidence interval will be wider then the 95% confidence interval

variance

the average squared difference of each score in a set of scores from the mean of those scores

point estimates

the estimates of the mean and proportion that are obtained from a sample are referred to as _______________ of the same values in the population

false

the greater magnitude of the variance the less disperse the data are

true

the greater magnitude of the variance the more disperse the data are