Question Tag: Statistical Analysis

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QTB – MAY 2016 – L1 – SA – Q16 – Statistics

Identify the statistical measure used to determine the degree of association between variables

Which of the following is used to measure the degree of association between two variables?

A. Regression

B. Percentiles

C. Quartiles

D. Correlation E. Coefficient of variation

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QTB – May 2015 – L1 – SA – Q20 – Statistics

Calculating the inter-quartile range for the weekly wages of employees.

If the weekly wages of 5 employees at XYZ company are N10,000, N8,500, N7,500, N6,000, and N5,200, the inter-quartile range for the weekly wages is:

A. N3,450
B. N3,650
C. N3,850
D. N4,050
E. N4,250

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QTB – May 2015 – L1 – SA – Q19 – Statistics

Identifying the components separated during the deseasonalisation of business data.

Deseasonalisation of business data is a process of separating two components of a time series which are:

A. Trend and cyclical variation
B. Irregular and cyclical variation
C. Trend and seasonal variation
D. Cyclical and seasonal variation
E. Seasonal and irregular variations

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QTB – MAY 2016 – L1 – SA – Q16 – Statistics

Identify the statistical measure used to determine the degree of association between variables

Which of the following is used to measure the degree of association between two variables?

A. Regression

B. Percentiles

C. Quartiles

D. Correlation E. Coefficient of variation

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QTB – May 2015 – L1 – SA – Q20 – Statistics

Calculating the inter-quartile range for the weekly wages of employees.

If the weekly wages of 5 employees at XYZ company are N10,000, N8,500, N7,500, N6,000, and N5,200, the inter-quartile range for the weekly wages is:

A. N3,450
B. N3,650
C. N3,850
D. N4,050
E. N4,250

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QTB – May 2015 – L1 – SA – Q19 – Statistics

Identifying the components separated during the deseasonalisation of business data.

Deseasonalisation of business data is a process of separating two components of a time series which are:

A. Trend and cyclical variation
B. Irregular and cyclical variation
C. Trend and seasonal variation
D. Cyclical and seasonal variation
E. Seasonal and irregular variations

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