Answered: This is my output from SPSS [attatched]…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

This is my output from SPSS [attatched] and I need to make a results section for it for this study:

Single Sample: A cognitive psychologist believes that a particular drug affects short-term memory. The drug is safe, with no side effects. An experiment is conducted in which 8 randomly selected subjects are given the drug and then given a short time to memorize a list of 10 words. The subjects are then tested for retention 15 minutes after the memorization period. The number of words correctly recalled by each subject is as follows: 8,9,10,6,8,7,9,7. Over the past few years, the psychologist has collected a lot of data using this task with similar subjects and has obtained a mean of 6 words correctly recalled (the data were normally distributed).

I cannot remember -

what I need to do with these outputs to determine statistical significance? and where I need to read to know the effect size?

Here is the example results section given by the instructor:

A single sample t test was conducted to compare a new therapy for marital happiness to a traditional therapy. Twelve married couples were administered “marital bliss” surveys after receiving the new therapy. The result was statistically significant, t (11) = 3.52, p = .005, two-tailed., 95% CI [70.02, 86.81]. The bliss scores (M = 78.42, SD = 13.21) differed significantly from the population (m = 65.00) with a large effect size, d = 1.02.

T-Test
[DataSet1]
Words remembered
One-Sided p
Words remembered
7
.002
One-Sample Effect Sizes
Standardizera
Point
Estimate
Words remembered
Cohen's d
1.30931
1.528
.460
Hedges' correction
1.47411
1.357
.408
a. The denominator used in estimating the effect sizes.
Cohen's d uses the sample standard deviation.
Hedges' correction uses the sample standard deviation, plus a correction factor.
One-Sample Statistics
N
Mean
8 8.0000
df
t
4.320
Std.
Deviation
Std. Error
Mean
1.30931
.46291
One-Sample Test
Significance
Test Value = 6
Two-Sided p
.003
Mean
Difference
95% Confidence Interval of
the Difference
Lower
Upper
.9054
2.00000
95% Confidence Interval
Lower
Upper
2.551
2.266
3.0946

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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