Which of the following is a characteristic for a good estimator? For a fixed sample size, increasing the level of sign a will
A professor teaches
A:340
If there are two unbiased
A: relatively efficient
If the confidence level is increased, the
confidence interval
A: widens
Regarding 90% confidence
A: by repeatedly drawing sample
The width of a confidence interval
estimate
A: all are true
If the confidence interval is to be 50.62
to 78.28
A:64.45
A confidence interval of 45.2+_ 3.03
A:45.2+_6.06
If a confidence interval is too wide
A: Increase the sample size n
Given a 90% confidence interval
A:90% during repeated sampling
You wish to estimate
A:
yes with 90% certainty
You wish to estimate with 95%
confidence
A:139
A:98%
A sales rep at a show store
A:H0: u=7 vs. H1: u>7
The researcher is usually
A: alternative hypotheses
A researcher believes average t shirts
A:H0:u=9 vs. H1:u>9
Which of the is possible null hypothesis
A:u=5
If a researcher wants to determine the
average bill less than $65, what hypo?
A:one-tail test
For a two tail test with 5% significance,
the null
A:less than -1.96 or greater than 1.96
Consider the H0: u=25, z= ?
0.6
At a level of a =0.1, if hypo not rejected ,
then the hypo is
A: will not be rejected at the 0.05 level
If a null hypo is rejected at the 0.1 and
0.5 level, but not 0.01
A:0.01 <p-value <0.05
Consider the hypo test H0:u=165 vs
H1:u>165, stats is 1.76
A:0.0392
Consider the hypo test H0:u=/165 vs
H1:u>165, stats is 1.76
A:0.0784
Consider H0:u=50 vs. H1:u>50, mean is
52.2, p-value 0.0251
A:the prob of observing large as 52.2
from a pop mean is 50 is 0.0251
At a given level of significate x, type
error I will and prob type II
A:stay the same, decrease
A: decrease the prob of a type II error
The likelihood of a type I is
A:a
Which best describes type I error
A: making an incorrect decision when
the null hypo is true
What situation results in a type I error
A: rejecting a true null hypo
A type II error cannot occur when
A:null hypo is true
Which is true
A: as the prob of making type I decrease
pro bog type II increase, the level of
prob making type I are same, the power
of test decrease and sign decrese
A type I error prob of a = 0.05 means
that
A:we reject a true null hypo 5% of
time
Consider H0:U=20 vs. h1:u>20, actual
mean is 20
A:a type I error
A report stated that average
A:t=(7900-7500)/(150/10)
A report stated that average
A:reject h0 if t>1.661
A report stated that average
A:at a = 0.05, we do not reject H0
A robust estimator is one that is
A:not affected by a bit of nonmorality
Consider random sample size of 25. The
sample mean to be 58 with variance 36,
lower limit 95%
A:55.52
A clothing store is interested. 30
customers. Spending 141.50 with SA
15.72. find 95%
A:$135.63, $147.37
For a 95% interval , sample n=20 with s
=0.25, critical t is
A:2.093
The 90% level (156.2, 183.9)
A:reject the null hypo
Which of the conditions is false the chi-
sqaured test
A:the calculated x2 tets stat can be any #
less than 0
Consider following hypo, 15 sample
A:15.435
