In: Statistics and Probability
Productivity Score (Range of 0 -35)
Constant Supervision by Manger (x1) Intermittent Supervision by Manager (X2)
Combined Data (X2-X1)
N=8
ΣD= 63
MD =
SS=
ΣD2 = 667
Please type a number rounded to the nearest THOUSANDTHS place (e.g. 2.971) as your answer for the blank below.
The value of the sample mean (MD) for this study is __________.
The value of the sum of squared deviations (SSD) for this study is ________.
The value of the variance (sD2) for this study is __________.
The value of the standard error of the mean (sMD) for this study is ___________.
Please type a number rounded to the nearest THOUSANDTHS place (e.g. 2.971) as your answer for the blank below.Please include the sign before each value as your answer for the blank below (e.g. +/-2.971).
The t-statistic (tMD)for this study (and overall hypothesis test) is _________.
Based on the results of this hypothesis test, calculate ONE measure of effect size (estimated Cohen's d (g), the 99% Confidence Interval, OR the percent of variance explained by the treatment (r2).Please type a number rounded to the nearest THOUSANDTHS place (e.g. 2.971) as your answer for the blank below.
For estimated Cohen's d (g) and r2: Please do not include a 0 in front of your answer (e.g. write as .125)
For the 99% Confidence Interval: Please write your answer as 99% CI (low #, high #) (e.g. write as 99% CI (1.234, 2.455)
The calculated measure of effect size is ____________.
Based on the the results of your hypothesis, select True or False:
True/False: The researcher should REJECT their Null Hypothesis and state that a significant effect is present.
Statistical Notation Write-up:
This should be a short paragraph (1-2 sentences)!
Write brief but accurate summary of these data in words, making sure to provide an overall statement as to the differences between these conditions, using the mean and standard deviation you provided above, the population of interest, the type of hypothesis test conducted, the significance, the IV and DV, as well as the appropriate inferential statistics (in APA format).
2.) Written Interpretation:
This should be a short paragraph (1-2 sentences)!
Write a short, but concise interpretation of these data in your own words! Try to write as effectively as possible. You may include aspects such as: relationship of the results of this study to some real-world phenomenon, limitations of the study (power), and/or what the results of this study suggest to do next (e.g. future directions).