Answer:
.
Step-by-step explanation:
We can begin by converting 65% to a fraction over 100. 65% converts to 0.65, or
.
We can simplify this down. Both 65 and 100 share a common factor of 5, which allows us to produce a new fraction:
![\frac{65}{100} = \frac{13}{20}](https://tex.z-dn.net/?f=%5Cfrac%7B65%7D%7B100%7D%20%3D%20%5Cfrac%7B13%7D%7B20%7D)
Therefore, the simplified version is
.
It is possible to draw approximate conclusions about processes that take place over time when using cross-sectional data by -
- logical inferences when the time order of events
- asking individuals to provide information on variables is clear
- examining data inside of age groups from their past
<h3>What is cross-sectional
data?</h3>
Cross-sectional data are observations of multiple individuals (subjects, things) at the same time, with each observation relating to a distinct individual.
Some key features regarding the cross-sectional data are-
- Cross-sectional data is data that is gathered from all individuals at the same time.
- During cross-sectional research, time also isn't considered a study variable.
- However, it is also true that in a cross-sectional study, not all participants provide data at the same time.
- Participants' cross-sectional data is collected in a shorter time frame. This time period is also referred to as the field period.
- Time only causes a variation in the results; it is not biased.
- The annual gross income for each of the 1000 randomly selected families in New York City in 2000 is a simple instance of cross-sectional data.
- Cross-sectional data differs from longitudinal data, which involves multiple observational data for each unit over time.
To know more about cross-sectional data, here
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Answer:73
Step-by-step explanation:
Simplify 3^3
= (9-27) + (27-3)
= (-18) + (24)
= 6