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Sampling Errors in Statistics

Authored by Fayzullokh Sattoriy

Business

11th Grade

Used 2+ times

Sampling Errors in Statistics
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23 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is simple random sampling?

Simple random sampling is a method of selecting a sample from a population where only the most common individuals are chosen.

Simple random sampling is a method of selecting a sample from a population where individuals are chosen based on their income level.

Simple random sampling is a method of selecting a sample from a population where individuals are chosen based on their age.

Simple random sampling is a method of selecting a sample from a population where each individual has an equal probability of being chosen.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does sampling bias affect the results of a study?

Sampling bias improves the accuracy of study findings

Sampling bias only affects the interpretation of qualitative data

Sampling bias affects the results of a study by introducing errors and making it difficult to generalize findings to the larger population.

Sampling bias has no impact on study results

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Explain what a confidence interval represents in statistics.

A confidence interval is a single point estimate of the population parameter.

A confidence interval represents a range of values likely to contain the true population parameter.

A confidence interval is a measure of the variability within a sample.

A confidence interval is a prediction of future outcomes based on past data.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is sample representativeness important in statistical analysis?

Sample representativeness is crucial in statistical analysis to ensure the data accurately represents the population, enabling reliable generalization and inference.

Sample representativeness is not important in statistical analysis

Representative samples are only needed for qualitative analysis

Statistical analysis can be accurate without representative samples

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is simple linear regression used for in statistics?

Simple linear regression is used to model the relationship between two dependent variables.

Simple linear regression is used to predict future values with no independent variable.

Simple linear regression is used to analyze categorical data.

Simple linear regression is used to model the relationship between a dependent variable and one independent variable.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are some basic commands used in the Stata program for statistical analysis?

plot

merge

calculate

analyze

summarize, regress, tabulate, list, graph

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can outliers impact the results of a statistical analysis?

Outliers always improve the accuracy of statistical results

Outliers have no impact on statistical analysis

Outliers only affect qualitative data, not quantitative data

Outliers can impact the results of a statistical analysis by distorting the measures of central tendency and dispersion.

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