A test of statistical significance indicates how confident the researcher is about :
Generalizing their findings from sample to population
Research is usually carried out on a sample, but the researcher wants to draw conclusions about the whole population from which the sample came.
A test of statistical significance gives the probability (p-value) that the observed result could have arisen by chance; a small p-value (e.g. below 0.05) lets the researcher be confident that the result is real and can be generalized from the sample to the population.
Proper data collection, inter-tester reliability and understanding of the analysis are matters of research design and measurement quality, not what a significance test tells us.
Hence, the answer is Generalizing their findings from sample to population.
Similar Questions
If a frequency distribution has some extreme scores, then appropriate measure of variability will be .........
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(i) Data collection
(ii) Construction of frequency tables
(iii) Cleaning of data
(iv) Presentation of data in charts.
Codes :
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Important Questions from Data Analysis - Teaching
Given below are two statements:
Statement I: In two tail test, 2.5% of the area of the normal curve falls on the right of 1.96 standard deviations above the mean and 2.5% to the left of 1.96 standard deviations below the mean.
Statement II: In one tail test, for testing the difference between large sample means, a z score of 1.64 is taken as Yardstick at the 5% level of significance.
In light of the above statements, choose the most appropriate answer from the options given below:
In a traditional extract–transform–load (ETL) workflow, data scrubbing performed during the transformation stage is:
Temperature (°C) Number of stations 0–10 1 10–20 2 20–30 3 30–40 4 40–50 5 50–60 4 60–70 3 70–80 2 80–90 1 Using the standard grouped-data interpolation formula with position 3N/4, estimate the third quartile Q₃ of the temperature distribution.
Temperature (°C) Number of stations 0–10 1 10–20 2 20–30 3 30–40 4 40–50 5 50–60 4 60–70 3 70–80 2 80–90 1 Using class midpoints, what is the estimated arithmetic mean temperature?
Temperature (°C) Number of stations 0–10 1 10–20 2 20–30 3 30–40 4 40–50 5 50–60 4 60–70 3 70–80 2 80–90 1 Using the standard grouped-data interpolation formula, what is the estimated median temperature?
