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, |
|||||||

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 |
|||||||

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.

NO HANDWRITTEN ANSWERS PLEASE
How are a time series and a cross-section of a data set
similar?

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.

From a philosophical standpoint, Distinguish between deductive
and inductive reasoning and demonstrate when each type of reasoning
is appropriate. Discuss a time in your life when you have used each
type of reasoning. The response must be 200 words

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...

An analyst considers to test the order of integration of some
time series data. She decides to use the DF test. She estimates a
regression of the form 〖Δy〗_t=μ+ψy_(t-1)+u_t and obtains the
estimate ψ ̂=-0.03 with standard error = 0.32. a) What are the null
and alternative hypotheses for this test? b) Given the data, and a
critical value of -2.88, perform the test? c) What is the
conclusion from this test and what should be the next step? d)...

What method of analysis (IR, CNMR, mpt, HNMR) would distinguish
between iodovanillin and bromovanillin without looking for
literature data on the compounds? Explain.

ADVERTISEMENT

Get Answers For Free

Most questions answered within 1 hours.

ADVERTISEMENT

asked 3 minutes ago

asked 5 minutes ago

asked 6 minutes ago

asked 20 minutes ago

asked 26 minutes ago

asked 28 minutes ago

asked 29 minutes ago

asked 37 minutes ago

asked 45 minutes ago

asked 48 minutes ago

asked 1 hour ago

asked 1 hour ago