Examlex

Solved

SCENARIO 15-8
Recently, a University Switched to a New Type

question 85

Short Answer

SCENARIO 15-8
Recently, a university switched to a new type of computer-based registration.The registrar is concerned with the amount of time (hours) students are spending on the computer registering under the new system.She decides to randomly select 8 students on each of the 12 days of the registration and determine the time each spends on the computer registering.The range, mean, and standard deviation of the times required to register are in the table that follows.  Day  Range Mean  Std.Dev. 1105.2503.494923115.25010.306031320.3754.926242122.8758.39115358.50011.37676187.8756.937272511.2508.58158307.8759.523591710.2506.364010229.5007.874011277.8758.7086122612.8759.3723\begin{array}{cccc}\underline{\text { Day }} & \underline{\text { Range}}& \underline{\text { Mean }}& \underline{\text { Std.Dev. }}\\1 & 10 & 5.250 & 3.4949 \\2 & 31 & 15.250 & 10.3060 \\3 & 13 & 20.375 & 4.9262 \\4 & 21 & 22.875 & 8.3911 \\5 & 35 & 8.500 & 11.3767 \\6 & 18 & 7.875 & 6.9372 \\7 & 25 & 11.250 & 8.5815 \\8 & 30 & 7.875 & 9.5235 \\9 & 17 & 10.250 & 6.3640 \\10 & 22 & 9.500 & 7.8740 \\11 & 27 & 7.875 & 8.7086 \\12 & 26 & 12.875 & 9.3723\end{array}

-Referring to SCENARIO 15-8, an R chart is to be constructed for the time required to register.One way to create the lower control limit involves multiplying the mean of the sample ranges byD3.For this data set, the value of D3 is .


Definitions:

Internal Consistency

A measure of the reliability of a test or scale, assessed by the degree of intercorrelation among the items within the test.

Effect Size

A quantitative measure of the strength of a phenomenon or the magnitude of a difference, used in statistical analysis.

Intervention's Effects

The effects of an intervention refer to the outcome or impact that a specific treatment, therapy, or preventative measure has on a condition, disorder, or situation.

Confounding Variable

A variable that influences both the dependent variable and independent variable, potentially skewing the results of a study.

Related Questions