Liberty university edco 735 week 2 quiz
(Answered) Complete Verified Solution
A two-tailed outlier for the t distribution must have a t score equivalent to the:
highest 5% or lowest 5% of
the t distribution
only the highest 5% of the t distribution
only the lowest 5% of the t distribution
highest 2.5% or lowest 2.5% of the t
distribution
In order to calculate the mean you must:
multiply each score by itself
take the square root of the sum
have at least interval level of
measurement
divide by degrees of freedom
Response Feedback:
Warner - Section 2.3
Outliers in the sample are defined by:
a measure of dispersion
how far any given score in the population can be expected to be
from the mean
how many standard deviations there score is from the mean
the square root of variance
The t distribution and the z
distribution: are skewed
have 95% confidence level
have values associated with
percentiles
are random
1.5 Calculating the sample standard deviation always makes use of:
, nominal level of
measurement
variance
convenience sample
random sample
Known distributions (e.g., t, z, and F) allow us:
determine causal inference
determine the percentile of our score or
statistic
give and receive scores
label our means
Which of the following is needed to calculate confidence interval's upper limit?
population
mean
SS
t critical
variance
2.6 Which of the following is needed to calculate confidence interval's upper limit?
SEM
SS
each score
value
2
s
Sampling error:
depends on sample size
is large when we have a
diverse population
is the s
(Answered) Complete Verified Solution
A two-tailed outlier for the t distribution must have a t score equivalent to the:
highest 5% or lowest 5% of
the t distribution
only the highest 5% of the t distribution
only the lowest 5% of the t distribution
highest 2.5% or lowest 2.5% of the t
distribution
In order to calculate the mean you must:
multiply each score by itself
take the square root of the sum
have at least interval level of
measurement
divide by degrees of freedom
Response Feedback:
Warner - Section 2.3
Outliers in the sample are defined by:
a measure of dispersion
how far any given score in the population can be expected to be
from the mean
how many standard deviations there score is from the mean
the square root of variance
The t distribution and the z
distribution: are skewed
have 95% confidence level
have values associated with
percentiles
are random
1.5 Calculating the sample standard deviation always makes use of:
, nominal level of
measurement
variance
convenience sample
random sample
Known distributions (e.g., t, z, and F) allow us:
determine causal inference
determine the percentile of our score or
statistic
give and receive scores
label our means
Which of the following is needed to calculate confidence interval's upper limit?
population
mean
SS
t critical
variance
2.6 Which of the following is needed to calculate confidence interval's upper limit?
SEM
SS
each score
value
2
s
Sampling error:
depends on sample size
is large when we have a
diverse population
is the s
