Lab 7
Problem: A researcher uses a repeated-measures study to
examine the effectiveness of a therapy procedure for
treating depression. A sample of n = 8 depressed patients is
obtained and each individual is given a depression test
immediately before therapy, immediately after therapy, and
once again 3 months after therapy. The data are to be
examined with a repeated-measures ANOVA.
Questions:
1) What does significantly different mean for this scenario?
2) What is the null hypothesis?
3) What is the alternative hypothesis?
4) What is our test statistic?

a. Which variance is affected when the sample means get farther
apart? How?
b. Which variance is affected when scores within a group get
farther apart from one another? How?
c. What is our expected test-value under the assumed null?
d. Is it a 1-tailed or 2-tailed test?
Page 1 of 4
Lab 7
5) Data:
Before Therapy After Therapy 3 Months Later Total
n1=8 n2=8 n3=8 N = 24
T1=136.3 T2 = 134 T3 = 85.1 G = 355.4
SS1 = 25.54 SS2 = 30.14 SS3 = 17.90 k = 3
ΣX2 =2347.75 ΣX2 = 2274.64 ΣX2 = 923.15 ΣX2 =5545.54

M1 = 17.04 M2 = 16.75 M3 =10.64
6) Calculate SS’s:
a. SSTOTAL =
b. SSWITHIN =
c. SSBETWEEN =
7) Compute dfs:
a. dfTOTAL =
b. dfWITHIN =
c. dfBETWEEN =
8) Calculate MS and df necessary for repeated-measures steps:
a. SSBETWEEN SUBJECTS (OR SSINDIVIDUAL
DIFFERENCES) =
b. SSERROR =

c. dfBETWEEN SUBJECTS (OR dfINDIVIDUAL
DIFFERENCES) =
d. dfERROR =
9) Calculate MS’s:
a. MSBETWEEN =
b. MSERROR =
10) Calculate F-ratio:
a. F =
Page 2 of 4
Lab 7
11) What is our critical value?
12) What do we conclude?
13) What is the calculated effect size?

14) Compute post-hoc tests:
a. Tukey HSD
b. Scheffe
i. Immediately Before vs. Immediately After
Source SS df MS F
Between
Within
B/S (ID)
Error
Total
ii. Do we reject the null hypothesis?
iii. Immediately Before vs. 3 months later
Source SS df MS F

Between
Within
B/S (ID)
Error
Total
Page 3 of 4
Lab 7
iv. Do we reject the null hypothesis?
v. Immediately After vs. 3 months later
Source SS df MS F
Between
Within
B/S
Error
Total
vi. Do we reject the null hypothesis?
Page 4 of 4
The stock price is shown on the AT&T's website. The market
value of the stock and not the par value determines the cash
proceeds from the sale of stock. The stock market price for
preferred and common stock does not appear on the financial

statements. The stock market price changes daily. The 52
week high and low for AT&T stock is $32.07 -$37.48.
Sites such as Morningstar and Yahoo Finance provide daily
updates regarding the market price per share of stock for
publicly traded companies. Also, the daily stock quotes usually
appear on the corporate Investors Relations site. These sites
will show the 52-week high and low range price for publicly
traded corporate stock.
Class - What is the 52-week high and low stock price for the
company you selected for the Week 3 class discussion? As a
potential investor, would you invest in the
company? Substantive responses are supported by reference to
the external source where the high and low stock prices are
reported.
Reference
Yahoo Finance (2015) AT&T Inc. Retrieved from
http://finance.yahoo.com/q?s=T
I need answers in at least 100 or 150 only
No plagiarism
Needs to be completed in time stated 4/12/15 10am Arizona
time
I used Starbucks for my company
Please read material carefully
Please state questions first followed by answers

Please make answers clearly
Give explanation to understand
No report make like a note
Only respond if can complete per my instructions
Will run for plagiarism
Answer the questions as if you are investing give explanation
why you would invest.
Lab 7
Problem: A researcher uses a repeated-measures study to
examine the effectiveness of a therapy procedure for treating
depression. A sample of n = 8 depressed patients is obtained
and each individual is given a depression test immediately
before therapy, immediately after therapy, and once again 3
months after therapy. The data are to be examined with a
repeated-measures ANOVA.
Questions:
1) What does significantly different mean for this scenario?
2) What is the null hypothesis?
3) What is the alternative hypothesis?

4) What is our test statistic?
a. Which variance is affected when the sample means get farther
apart? How?
b. Which variance is affected when scores within a group get
farther apart from one another? How?
c. What is our expected test-value under the assumed null?
d. Is it a 1-tailed or 2-tailed test?
5)
Data:
Before Therapy
After Therapy
3 Months Later
Total
n1=8
n2=8
n3=8
N = 24
T1=136.3

T2 = 134
T3 = 85.1
G = 355.4
SS1 = 25.54
SS2 = 30.14
SS3 = 17.90
k = 3
ΣX2 =2347.75
ΣX2 = 2274.64
ΣX2 = 923.15
ΣX2 =5545.54
M1 = 17.04
M2 = 16.75
M3 =10.64
6) Calculate SS’s:
a. SSTOTAL =
b. SSWITHIN =
c. SSBETWEEN =
7) Compute dfs:
a. dfTOTAL =
b. dfWITHIN =
c. dfBETWEEN =
8) Calculate MS and df necessary for repeated-measures steps:
a. SSBETWEEN SUBJECTS (OR SSINDIVIDUAL
DIFFERENCES) =

b. SSERROR =
c. dfBETWEEN SUBJECTS (OR dfINDIVIDUAL
DIFFERENCES) =
d. dfERROR =
9) Calculate MS’s:
a. MSBETWEEN =
b. MSERROR =
10) Calculate F-ratio:
a. F =
11) What is our critical value?
12) What do we conclude?
13) What is the calculated effect size?
14) Compute post-hoc tests:
a. Tukey HSD

b. Scheffe
i. Immediately Before vs. Immediately After
Source
SS
df
MS
F
Between
Within
B/S (ID)
Error
Total

ii. Do we reject the null hypothesis?
iii. Immediately Before vs. 3 months later
Source
SS
df
MS
F
Between
Within
B/S (ID)
Error

Total
iv. Do we reject the null hypothesis?
v. Immediately After vs. 3 months later
Source
SS
df
MS
F
Between
Within
B/S
Error

Total
vi. Do we reject the null hypothesis?
Page 4 of 4