
MATH q3
Authored by CHRYS TELLE
Mathematics
1st Grade
Used 1+ times

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35 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a parameter in statistics?
A numerical value for the sample
A numerical value for the entire population
A measure of dispersion
A measure of central tendency
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the confidence level represent in hypothesis testing?
The strength of evidence against the null hypothesis
The discrepancy between the sample statistic and the population parameter
The number of times the true value falls within the confidence interval
The probability of making a Type I error
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the null hypothesis in hypothesis testing?
Represents the default assumption or the absence of an effect
Contradicts the null hypothesis and suggests the presence of an effect
The discrepancy between the sample statistic and the population parameter
The probability of making a Type I error
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of the F-test for homogeneity of variances?
To estimate the population parameter from sample statistics
To calculate the confidence interval
To determine which t-test is suitable for a given set of data
To predict future occurrences
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the p-value indicate in hypothesis testing?
The probability of obtaining results as extreme as the observed data
The discrepancy between the sample statistic and the population parameter
The strength of evidence against the null hypothesis
The probability of making a Type I error
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
When is a one-tailed test used in hypothesis testing?
When the alternative hypothesis contradicts the null hypothesis
When the sample size is small
When the critical region has two parts
When the direction of the effect is specified
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the degree of freedom in statistics?
The number of independent pieces of information available to estimate a statistical parameter
The strength of evidence against the null hypothesis
The discrepancy between the sample statistic and the population parameter
The probability of making a Type I error
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