Statistical Methods - A Human-Computer Interaction - Statistics Assignment Help

Assignment Task:

Task:

Question 1
(24 marks)
A human-computer interaction (HCI) researcher was interested in examining whether humans are better able to use a joystick or a mouse to point a computer cursor. She therefore constructed an experiment in which participants used either a joystick (joystick condition) or a mouse (mouse condition) to point a cursor to a target displayed on a computer monitor. She measured the time (seconds) that it took to place the cursor over the target (dependent variable referred to as time, where a higher time score indicates poorer performance). To determine whether potential benefits of using the joystick orm mouse generalized to difficult HCI scenarios, the target was either stationary (static condition) or moved slowly across the computer screen at a constant velocity (motion condition). Participants were randomly and uniquely assigned to 1 of 4 conditions in the interface (levels: joystick, mouse) × target type (levels: static, motion) experimental design. Given the data collected by the researcher (see Table 1 below), what can she conclude about how easily humans interact these HCI interfaces and how are these HCI interfacesinfluenced by target type? Include a line graph of the means.

Question 2
(11 marks)
A marketing team wants to determine which of two prospective product lines consumers might prefer. They randomly select subjects to participate in a quantitative focus group in which half of the participants were given product A, while the other half of participants were given product B. Participants completed a questionnaire that probed their affinity for the product they inspected during the focus group. Questionnaires items were collapsed into a continuous-valued composite index of product affinity. In a preliminary analysis, the marketing team ensured that the assumption of homogeneity of variance was met:

! = 5.59

4.33 = 1.29, ?!"#.!"#$ = 4.04 .

Given the product affinity data they collected (see Table 2 below), which product are consumers more likely to prefer? Show all relevant descriptive statistics.

Question 3
(18 marks)
Sociologists investigated whether there is an association between salary and life enjoyment. They administered questionnaires to randomly selected participants who reported their salary in thousands of dollars (salary) and a battery of questionnaire items that probe life enjoyment. The life enjoyment items were collapsed into a continuous-valued composite index of life enjoyment (LE). Given their data (see Table 3 below), is there an association between salary and life enjoyment? If so, how does a change in salary quantitatively relate to a change in life enjoyment? Include a scatterplot of the data and the line of best fit.

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