Question

D. Answer the questions based on the table below:

Table 2. Baseline Characteristics of Participants (N 2802) Characteristic Sample 73.6 (5.9) [65-94] Age, mean (SD) [range], y Age groups, y, %48 65-74 75-84 85 60.1 35.0 4.9 75.9 Women, %49 Race, 9049 White African American Other/unknown High school graduate, %49 Married, %49 MMSE score, mean (SD) [rangej5 SF-36 physical function, 73.3 26.0 0.7 88.6 35.9 27.3 (2.0) [23-30] 68.8 (24.1) [0-100] mean (SD) [range]51:+

-Does the table show descriptive or inferential statistics? How do you know?

-Pick one variable from the table and discuss the statistics associated with it.

E. Answer the questions based on the table below:

Table 3. Training Effects on Proximal and Primary Outcomes* Memory Training Reasoning Training Speed Training Controlt Net Effect Size (P Valueは Showing Reliable Improvement, %S Net Effect Size (P Valuet Showing Reliable Improvement, %S Net Effect Size (P Value) Showing Reliable Showing Reliable Improvement, %§ Improvement, %§ Measure Proximal Outcome Composites Memory 26 Posttest A1 A2 0.257 (<.001) 0.212 (<.001) 0.174 (<.001) -0.009 -0.011 -0.03 -0.012 -0.021 -0.052 13 40 27 28 29 Reasoning -0.018 0.021 0.045 39 31 35 Posttest 34 34 36 0.480 (<.001) 0.402 (<.001) 0.257 (<.001) 74 -0.026 -0.003 -0.019 A1 29 30 Speed Posttest A1 A2 -0.045 -0.054 -0.034 34 35 36 87 81 73 0.003 -0.033 -0.043 34 35 -1.463 (<.001) -1.212 (<.001) -0.867 (<.001) 32 37

-Which part of the table shows inferential statistics? How do you know?

-Pick one variable from the table and discuss the finding from the inferential statistics associated with it.

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Answer #1

Here' the answer to the question. Please don't hesitate to give a "thumbs up" in case you're satisfied with the answer

Descriptive statistics uses the data to provide descriptions of the population, either through numerical calculations or graphs or tables.

D.

In the first table, the sample have been divided into Age groups, Race, gender, mairital status etc, which are descreptives of a population. Hence, this table is Descriptive statistics

Take example of Woman,%: This means that out of the sample of n=2802, how many were women:75.9%, the
rest 24.1% were men

E.

Inferential statistics makes inferences and predictions about a population based on a sample of data taken from the population in question. Thus, the pp-value(net effect size) is inferential statistics. It tells whether net effect size
is statistically significant or not .

For example, Within Memory testing , Memory measure' net size effect is .257, and this is statistically significant
since p-value is less than .05 ( it is < .001 as per the table actually)


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