BUS232 SQUID GAME
REVIEW
NEGAR GANJOUHAGHIGHI
“To have more accurate
results” is one of the reasons
of sampling.
Eliminated!
TRUE
FALSE
We can never completely
eliminate the sampling error.
Eliminated!
𝑇𝑅𝑈𝐸
𝐹𝐴𝐿𝑆𝐸
When population is
exponentially distributed,
sampling distribution will
always be normally distributed if
n is more than 50
Eliminated!
TRUE
FALSE
Z formula for sample
proportions is valid only if
n.p>0.5 and n.q>0.5.
Eliminated!
TRUE
𝐹𝐴𝐿𝑆𝐸
We have a finite population if n/N
is ---- than 0.05.
Eliminated!
more
less
Sample mean is the point
estimate
Eliminated!
TRUE
FALSE
As the variance of the
population increases, MOE
for the confidence interval to
estimate 𝜇 increases.
Eliminated!
TRUE
FALSE
By decreasing the sample
size, we can decrease the
margin of error
Eliminated!
TRUE
FALSE
If sample proportion increases
from 0.2 to 0.4, MOE increases.
Eliminated!
TRUE
FALSE
Degrees of Freedom for a
sample of 20 is:
Eliminated!
21
19
We use t-test, when the
population is not normally
distributed.
Eliminated!
TRUE
FALSE
The minimum required sample size
increases as the acceptable level of
error increases.
Eliminated!
TRUE
FALSE
The minimum required sample
size increases if population
variance increases.
Eliminated!
TRUE
FALSE
When population proportion is
unknown, we can estimate that by ¼
for calculating the sample size.
Eliminated!
True
False
As confidence level increases,
minimum required sample
size decreases.
Eliminated!
TRUE
FALSE
Which one is a two-tailed
test?
Eliminated!
When testing a hypothesis,
we start by assuming that
the Null hypothesis is
correct.
Eliminated!
False
True
Alpha is the same as 1-Beta.
Eliminated!
TRUE
FALSE
When confidence level is
94%, the rejection area is
equal to
Eliminated!
0.03
0.06
𝐻0 : 𝜇 = 100 , 𝐻𝑎 : 𝜇 < 100
The rejection region is on the
right side only.
Eliminated!
TRUE
FALSE
(1-Power) is the probability of
failing to reject a false null.
Eliminated!
TRUE
FALSE
Type II Error is accepting a true null
Eliminated!
True
False
If p-value is less than alpha,
we fail to reject the null.
Eliminated!
TRUE
FALSE
The variable that we want to
estimate is
𝐷𝑒𝑝𝑒𝑛𝑑𝑒𝑛𝑡
𝑉𝑎𝑟𝑖𝑎𝑏𝑙𝑒
Eliminated!
𝐼𝑛𝑑𝑒𝑝𝑒𝑛𝑑𝑒𝑛𝑡
𝑉𝑎𝑟𝑖𝑎𝑏𝑙𝑒
Covariance of X and Y is -2
Covariance of X and Z is 100.
We can conclude that X and
Z are more correlated.
Eliminated!
TRUE
FALSE
Correlation unit is the same as the
unit of Y variable.
Eliminated!
True
False
We can have more than one
independent variable
Eliminated!
True
False
BUS232 SQUID GAME
THE END