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

See similar textbooks

Related questions

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

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

Expert Solution