0
Why are statistical procedures such as t-tests and analysis if variances not appropriate for use in qualitative studies?
Because a t-test is designed to measure the difference between means on variables that can be measured (interval data). For example, comparing the difference of height between males and females in centimetres. Qualitative studies are not interval data, but qualitative information is coded and analysed by frequencies - you are not comparing two normally distributed variables that can be measured on a continuous spectrum of measurement.
What else can I help you with?
What does activity-level variances plus flexible-budget variances equal?
total master-budget variances
Should only unfavorable variances be investigated?
No, both unfavorable and favorable variances should be investigated. While unfavorable variances indicate areas where performance is lacking and may require corrective action, favorable variances can highlight opportunities for efficiency and best practices that can be leveraged further. Analyzing both types of variances provides a comprehensive understanding of performance and can inform better decision-making.
What are adverse variances?
Adverse variances means unfavourable variance which is actual expenses are more than budgted variance.
Why are variances generally segregated in terms of a price variance and an efficiency variance?
Efficiency Varian materials and direct labor, the variances were recorded in specific general ledger accounts.
What does the F statistics tell you?
The difference between two variances
What is the purpose of the Levene's test?
Levene's test is used to assess whether the variances of two or more groups are equal. It is commonly employed in statistical analysis to determine if the assumption of homogeneity of variances is met, which is important for certain statistical tests such as the t-test and ANOVA.
What is the difference between least squares mean and mean in statistical analysis?
In statistical analysis, the least squares mean is a type of average that accounts for differences in group sizes and variances, while the mean is a simple average of all values. The least squares mean is often used in situations where there are unequal group sizes or variances, providing a more accurate estimate of the true average.
Outlines the steps in an Analytical Procedures?
Define the objective and scope of the analytical procedures. Collect relevant data and information. Develop expectations based on historical data or industry norms. Compare actual results to expected results. Investigate significant variances or anomalies. Document findings and conclusions. Communicate results to appropriate parties.
The statistical distribution used for testing the difference between two population variances is the BLANK distribution. The choices are a t b standardized normal c binomial d F?
a
What is the F stat in regression analysis?
The F stat tests the equality of variances. It uses statistical tables for reference and is calculated with F = Variance 1 (max)/variance 2(min).
What does activity-level variances plus flexible-budget variances equal?
total master-budget variances
What is the Kruskal-Wallis test, and when is it appropriate to use it?
The Kruskal-Wallis test is a non-parametric statistical test used to compare the medians of three or more independent groups. It is appropriate to use when the data violate the assumptions of parametric tests, such as ANOVA, such as non-normality or unequal variances. It is commonly used when analyzing ordinal or continuous data that are not normally distributed. You can get expert assistance also from various online consultancies such as SPSS-Tutor, Silverlake Consult, etc.
The variances that should be investigated by management include?
should all variances be investigated
When comparing two variances or standard deviations is an f-test is used?
An F-test can be used for variances.
What are adverse variances?
Adverse variances means unfavourable variance which is actual expenses are more than budgted variance.
How do you compare distrubutions?
The answer depends on whether you are comparing the means or variances of similar distributions or whether you are comparing the distributions themselves. There are many statistical tests for comparing distributions: the best test depends on whether or not the distribution is known in terms of its parameters, or in less specific terms.
Why are separate price and quantity variances computed?
Price and quantity variances are computed respectively because different managers are usually responsible for buying and for using inputs.
