Question

The distinction between endogenous and exogenous variables
is:

a. dependent on the distribution of the variables, i.e., when they
are normally distributed, they are exogenous, otherwise they are
endogenous.

b. whether or not the variables are correlated with the error
term.

c. dependent on the sample size, i.e., for n sufficiently large,
endogenous variables become exogenous.

d. that exogenous variables are determined inside the model and
endogenous variables are determined outside the model.

Answer #1

*DISTINCTION BETWEEN ENDOGENOUS AND EXOGENOUS
VARIABLES IS -*

** A)** Dependent on the distribution of
the variables i.e., when they normally distributed , they are
exogenous otherwise endogenous. Because exogenous variables are
independent and endogenous variables are dependent variables whose
value depend on other variables.

*OTHER FACTORS DO NOT DESCRIBE DISTINCTION BETWEEN
EXOGENOUS VARIABLES AND ENDOGENOUS VARIABLES -*

** B)** Whether or not the value are
correlated with error terms -Error terms are not related with
endogenous variables and exogenous variables. Error terms are
realted with independent and dependent variables

** C)** Dependent on the sample size,i.e.,
for n sufficiently large,endogenous variables becomes exogenous -
As endogenous variables are dependent variables they never became
exogenous .

**D)** Exogenous model are determined inside the
model and endogenous variables are determined outside the model
-Exogenous variables are determined outside the variables and
endogenous variables are determined inside the model.As exogenous
are the factors affecting the endogenous variables that why inside
model is endogenous and outside model is exogenous.

True or false:
1. When constructing a confidence interval for a sample
Mean, the t distribution is appropriate whenever the sample size is
small.
2. The sampling distribution of X (X-bar) is not always
a normal distribution.
3. The reason sample variance has a divisor of n-1
rather than n is that it makes the sample standard deviation an
unbiased estimate of the population standard
deviation.
4. The error term is the difference between the actual
value of the dependent...

“Every user of statistics should understand the
distinction between statistical significance and practical
importance. A sufficiently large sample will declare very small
effects statistically significant.”
In general, a population of elite female Canadian
athletes were believed to be consuming an average 2403.7 kcal/day
with population s.d. = sigma= 880 kcal/day. A nutritionist
implemented a new diet among a sample of these athletes. Under the
new diet, the sample of athletes had average daily intake of
x-bar=2453.7 kcal/day. The standard deviation...

Which of the following statements are true concerning the mean
of the differences between two dependent samples? (matched pairs)?
Select all that apply. A. The methods used to evaluate the mean of
the differences between two dependent variables apply if one has 60
weights of men from Ohio and 60 weights of men from New York. B. If
one has more than 5 matched pairs of sample? data, one can consider
the sample to be large and there is no...

A sample of 12 observations collected in a regression study on
two variables, x(independent variable) and y(dependent variable).
The sample resulted in the following data.
SSR=77, SST=88, summation (x_i-xbar)2=23,
summation (x_i-xbar)(y_i-ybar)=44.
Calculate the t test statistics to determine whether a
statistically linear relationship exists between x and y.
A sample of 7 observations collected in a regression study on
two variables, x(independent variable) and y(dependent variable).
The sample resulted in the following data.
SSR=24, SST=42
Using a 0.05 level of significance,...

In cases where we do not know the sample distribution and we
have sufficiently large n, then we can apply the Central
Limit Theorem. That is to say, according to the CLT, x can
have any distribution whatsoever, but as the sample size increases,
the distribution of will approach a normal
distribution. The CLT formula is
Where n is the sample size (n
≥ 30), μ is the mean of the x distribution, and
σ is the standard deviation of...

In regression analysis, the total variation in the dependent
variable, measured by the total sum of squares
(SST), can be decomposed into two parts: the amount of
variation that can be explained by the regression model, and the
remaining unexplained variation.
True
False
In employing the randomised block design of ANOVA, the primary
interest lies in reducing the within-treatments variation in order
to make easier to detect differences between the treatment
means.
True
False
If we reject the null hypothesis,...

1. The breaking strengths (measured in dynes) of nylon fibers
are normally distributed with a
mean of 12,500 and a variance of 202,500.
a) What is the probability that a fiber strength is more than
13,175?
b) What is the probability that a fiber strength is less than
11,600?
c) What is the probability that a fiber strength is between 12,284
and 15,200?
d) What is the 90 th percentile of the fiber breaking strength?
2.
Suppose that X, Y...

QUESTION PART A: The lengths of pregnancies in a small rural
village are normally distributed with a mean of 263 days and a
standard deviation of 15 days.
In what range would you expect to find the middle 98% of most
pregnancies?
Between ____ days and____days.
If you were to draw samples of size 50 from this population, in
what range would you expect to find the middle 98% of most averages
for the lengths of pregnancies in the sample?...

Hello, please review the statement below and determine if the
statement is right or not (and why).
Explain the central limit theorem
The central limit theorem states that when there’s a large
enough sample size (generally 30 or more) with a finite level of
variance, then the mean from all of the samples, from the same
population, will be approximately equal to the mean of the
population. There are three different components of the theorem.
The first is successive sampling...

I dont understand this question 1 to 5
1) A particular fruit's weights are normally distributed, with a
mean of 668 grams and a standard deviation of 39 grams.
If you pick 24 fruits at random, then 7% of the time, their mean
weight will be greater than how many grams?
Give your answer to the nearest gram. _____
2)The lengths of pregnancies in a small rural village are
normally distributed with a mean of 265 days and a standard...

ADVERTISEMENT

Get Answers For Free

Most questions answered within 1 hours.

ADVERTISEMENT

asked 5 minutes ago

asked 9 minutes ago

asked 19 minutes ago

asked 27 minutes ago

asked 41 minutes ago

asked 43 minutes ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago