Question

distinguish between time series analysis and cross-sectional
analysis. in order to compare each type of data series we should
make and adjustment. Explain

Answer #1

Time series data : That data
which is spread over time period like 6 months, |
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a year , two year etc., generally the data is of equal space period. The series are | |||||||

used to compare the data of two periods. | |||||||

Cross-sectional data : The
data of a time period is detailed in various
individual |
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or groups with common variables. This type of series is used to compare the | |||||||

group or a individual item of two period for analysis and decision-making | |||||||

purpose, like R&D expenses, HR expenses etc. | |||||||

There always requires to be some adjustments required in each of the series | |||||||

for making appropriate comparison of two period data because categories of | |||||||

items in the data keeps on changing as per the dynamic business situations. | |||||||

Moreover, the inflationary difference between the figures of two period is | |||||||

always there, which requires appropriate adjustments. |

What is a key difference between cross-sectional momentum and
time-series momentum?
Time-series momentum long/short can be non-zero-cost
occasionally
Cross-sectional momentum is always market beta neutral
Time-series momentum looks at time-series of cross-sectional
momentum profits

For each of the following, state whether it is i) time-series,
cross-sectional, or panel data and ii) quantitative or qualitative
data.
a. Daily gold prices at the end of the day.
b. Marital status of individuals living in Abu Dhabi 2017.
c. Survey of Professional Forecasters which collects forecasts
made by several forecasters of GDP, inflation rate, and other
variables every quarter. me SarieS

Use practical examples to distinguish between a cross-sectional
survey and a longitudinal survey.

Think of three specific data analysis applications that deal
with time series data and describe what type of information could
be learned by performing time series analysis on them.

Distinguish between the levels of prevention.
Provide two (2) examples of each type of prevention.
Identify the circumstances and settings in which each level is
indicated. Explain your answers.

Quantitative designs may be categorized according to time.
Differentiate between the time dimensions of data collection
described in these studies.
Group of answer choices
For a study on health beliefs, the researcher surveyed high
school students at freshman to senior levels during the first week
of the semester.
[ Choose ]
retrospective
cross-sectional
longitudinnal
The researcher conducted a chart review to describe nursing
interventions for pain control...

Distinguish between dynamic and defensive open market operations.
What is the purpose of each type? How are defensive open market
operations typically conducted?

Why we should not worry about omitted variable bias in
forecasting using time-series analysis?

A) Distinguish between nonprobability and probability samples
and compare their advantages and disadvantages. Which are used for
qualitative and which for quantitative studies?
1) Identify and describe two types of non-probability sampling
methods and two types of probability sampling methods
2) Discuss how sample size requirements differ between
qualitative and quantitative studies.
B) Identify phenomena/variables that lend themselves to
self-reports, observation, and biophysiologic measurement and
discuss each of these types of data collection.

15) If the cross-price elasticity of demand between two goods
is positive, we can assume that the two goods in question
are:
A) complements.
B) substitutes.
C) inferior goods.
D) totally unrelated to one another.
Answer:
16) Which of the following approaches to understanding and
predicting consumer behavior depends primarily on the knowledge and
experience of a firm's employees and its suppliers?
A) Direct consumer surveys.
B) Expert opinion.
C) Analysis of historical data.
D) Test marketing and price experiments....

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