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knowing that even the most sophisticated techniques of analysis cannot make up for poor data, the researcher must attempt, however, to choose a survey method that achieves the client's budget restrictions and resources. true false

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This Statement is False.

Working with algorithms, mathematical analysis tools, and software are frequently used in quantitative data analysis methodologies to modify data and unearth insights that show the commercial value.

The 5 methods for performing statistical analysis

  1. Mean.
  2. Standard deviation.
  3. Regression.
  4. Hypothesis testing.
  5. Sample size determination.

1. Mean: By dividing the sum of the all numbers of in the given data set by the entire number of numbers.

2. Standard deviation: The degree of data dispersion from the mean is indicated by the standard deviation.

3. Regression: A dependent variable is connected to one or more independent variables using the statistical method of regression.

4. Hypothesis testing: A type of statistical inference known as hypothesis testing uses data from a sample to make inferences about a population parameter or population probability distribution.

5. Sample size determination: A type of statistical inference known as hypothesis testing uses data from a sample to make inferences about a population parameter or population probability distribution.

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