Question

1.6 The percentage change in the Russell 2000 Index of the stock prices of 2,000 small companies was +18.33% in 2004 and +4.55% in 2005. Compute the geometric rate of return and tick the correct answer below.

a) Mean rate of return is 13.78%

b) Mean rate of return is 11.44%

c) Mean rate of return is 18.89%

d) Mean rate of return is 11.23%

1.7 Multiple regression allows us to use many different _______ variables to predict one _______ variable.

2 points

a)Independent; continuous

b)Dependent; categorical

c) Independent; dependent

d) Dependent; independent

1.8 The null hypothesis for a _______ test is that the difference between groups is exactly zero.

a) 2 points

b) Lower tailed

c) One-tailed

d) Upper tailed

Two-tailed

1.9 A Type I error occurs when we . . .

a) Reject the null hypothesis when it is true

b) Accept the null hypothesis when it is false

c) Reject the null hypothesis when it is false

d) Accept the null hypothesis when it is true

Answer #1

Answer 1.6:

Data given:

The percentage change in the Russell 2000 Index of the stock prices of 2,000 small companies was +18.33% in 2004 and +4.55% in 2005.

Geometric rate of return = ?

As we know, the formula for computing the geometric rate of return is given as -

where - rate of returns

n - number of periods

Using the above formula, we can compute the geometric rate of return for the given scenario as -

Thus, the geometric mean rate of return is approximately
**11.23%** .

Hence, the correct option is **(d)** .

1. Insofar as we must generalize from a sample to a population,
the observed difference between the sample mean and the
hypothesized population mean a) can't be interpreted at face value.
b) might be due to variability or chance. c) might be real. d) is
described by all of the above
2. The advantage of a one-tailed test is that it increases the
likelihood of detecting a a) false null hypothesis. b) false null
hypothesis in the direction of concern....

The null hypothesis is the prediction that there are no
differences between the mean of the population and the mean of your
sample. Question 1 options: True False Save Question 2 (1 point)
The hypothesis that your sample mean is significantly different
from the population mean is called the Alternative hypothesis or
_________________. Question 2 options: a) Null hypothesis b)
Research Hypothesis c) One-Tailed Test d) Two-Tailed test Save
Question 3 (1 point) If you are running a test to...

PLEASE ANSWER ALL QUESTIONS !
1.
When performing a Chi-Square test, what is the critical value
between the accept and reject regions for a test with 5 classes and
25 observations at the 5% level of significance?
Select one:
a. 11.070
b. 2.87
c. 2.60
d. 9.488
2. True or False: A hypothesis is a statement about a population
developed for the purpose of testing.
Select one:
True
False
3. If you ACCEPT the null hypothesis while performing a
Chi-Square...

1. A null hypothesis states that there is
A. No significant difference between a population parameter and
sample statistic.
B. A significant difference between a population parameter and
sample statistic.
C. The difference between the population parameter and sample
statistic is significant and can be attributed to sampling
error.
D. The difference between the population parameter and sample
statistic is insignificant and cannot be attributed to sampling
error.
E. None of the above
2. An alternative hypothesis states that there...

(1 point)
Type I error is:
A. Deciding the null hypothesis is true when it is
false
B. Deciding the alternative hypothesis is true
when it is false
C. Deciding the null hypothesis is false when it
is true
D. Deciding the alternative hypothesis is true
when it is true
E. All of the above
F. None of the above
Type II error is:
A. Deciding the null hypothesis is false when
it is true
B. Deciding the alternative hypothesis...

Determine the critical value(s) of the test statistic for each
of the following small sample tests for the population mean where
the assumption of normality is satisfied. Round your answer to four
decimal places.
Left-tailed test,α=0.01,n=24
Right-tailed test ,α=0.1,n=8
Two-tailed test, α=0.05,n=12
A high school principle currently encourages students to enroll
in a specific SAT prep program that has a reputation of improving
score by 50 points on average. A new SAT prep program has been
released and claims to...

1. Which of the following statements is correct?
a.
For a given level of significance, the critical value of
Student's t increases as n increases.
b.
A test statistic of t = 2.131 with d.f. = 15 leads to a
clear-cut decision in a two-tailed test at d = .05.
c.
It is harder to reject the null hypothesis when conducting a
two-tailed test rather than a one-tailed test.
d.
If we desire α = 0.10 then a p-value of...

1. Setting the significance level cutoff at .10
instead of the more usual .05 increases the likelihood of
a. a Type I error.
b. a Type II error.
c. failing to reject the null hypothesis.
d. accepting the null hypothesis when, in fact, it is false.
2. A Type I error is the result of
a. improper measurement techniques on the part of the
researcher.
b. failing to reject the null hypothesis when, in fact, it is
true.
c. incorrectly...

QUESTION 1
For a combination of α (level of significance) = 0.05, n (sample
size) = 25, k (number of independent variables in the model) = 1
and D (Durbin-Watson statistic) = 3.30 , what statistical decision
should be made when testing the null hypothesis of no negative
autocorrelation?
a.
Neither reject nor not reject the null hypothesis.
b.
Do not reject the null hypothesis.
c.
Accept the null hypothesis.
d.
Reject the null hypothesis
1 points
QUESTION 2...

1. In testing a null hypothesis H0 versus an alternative Ha, H0
is ALWAYS rejected if
A. at least one sample observation falls in the non-rejection
region.
B. the test statistic value is less than the critical value.
C. p-value ≥ α where α is the level of significance. 1
D. p-value < α where α is the level of significance.
2. In testing a null hypothesis H0 : µ = 0 vs H0 : µ > 0,
suppose Z...

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