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Why are statistical procedures such as t-tests and analysis if variances not appropriate for use in qualitative studies?
Wiki User
∙ 15y ago
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.
Wiki User
∙ 15y ago
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What does activity-level variances plus flexible-budget variances equal?
total master-budget variances
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 are budget variances?
Budget variances are differences in expenditures from your original budgeted plan. This may happen if there is an expense during the month that one may not have planned for such as an automotive repair or doctor's bill.
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.
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.
What are adverse variances?
Adverse variances means unfavourable variance which is actual expenses are more than budgted variance.
Which is the correct set of assumptions needed for comparing 3 or more means?
Equal variances, independent observations and normality
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.
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.
The formation of waves is a result of what?
Momentum transfer or pressure variances.
