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By negatively influencing data collection, <u>bias</u> can have a detrimental effect on analysis.
In statistical analysis, bias occurs when the data collected is not a true representation of the group under study. Bias occurs due to various mistakes or errors that occur at the time of data collection and sampling.
If a particular data is negatively influenced, then this means that there will be a bias in the expected results. Such a case can be highly detrimental especially if the studies would be implemented for a human issue.
The bias produced by a negative influence will cause errors in the analysis of the data leading to an overall wrong result.
To learn more about bias, click here:
brainly.com/question/24491228
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Answer:
Written in Python
import math
degreesF = float(input("Enter a temperature in degrees Fahrenheit: "))
degreesC = round(5 * (degreesF - 32)/9,1)
print(degreesC)
Explanation:
The following header allows you to use Math.Round() method in Python
import math
The following prompts the user for temperature in degrees Fahrenheit
degreesF = float(input("Enter a temperature in degrees Fahrenheit: "))
The following calculates the degree Celsius equivalent and also round it up
degreesC = round(5 * (degreesF - 32)/9,1)
The following prints the degree Celsius equivalent
print(degreesC)
A computer BIT is the amount of data that a CPU can manipulate at one time.
The answer & explanation for this question is given in the attachment below.
