EBK RESEARCH METHODS FOR THE BEHAVIORAL
5th Edition
ISBN: 8220100546471
Author: Forzano
Publisher: YUZU
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Textbook Question
Chapter 9.2, Problem 3LO
For a within-subjects experiment, explain how the time delay between treatments can influence time-related threats to internal validity and why it may be better to switch to a between-subjects design.
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20 km, because
GISS
Worksheet 10
Jesse runs a small business selling and delivering mealie meal to the spaza shops.
He charges a fixed rate of R80, 00 for delivery and then R15, 50 for each packet of
mealle meal he delivers. The table below helps him to calculate what to charge
his customers.
10
20
30
40
50
Packets of mealie
meal (m)
Total costs in Rands
80
235
390
545
700
855
(c)
10.1.
Define the following terms:
10.1.1. Independent Variables
10.1.2. Dependent Variables
10.2.
10.3.
10.4.
10.5.
Determine the independent and dependent variables.
Are the variables in this scenario discrete or continuous values? Explain
What shape do you expect the graph to be? Why?
Draw a graph on the graph provided to represent the information in the
table above.
TOTAL COST OF PACKETS OF MEALIE MEAL
900
800
700
600
COST (R)
500
400
300
200
100
0
10
20
30
40
60
NUMBER OF PACKETS OF MEALIE MEAL
Let X be a random variable with support SX = {−3, 0.5, 3, −2.5, 3.5}. Part ofits probability mass function (PMF) is given bypX(−3) = 0.15, pX(−2.5) = 0.3, pX(3) = 0.2, pX(3.5) = 0.15.(a) Find pX(0.5).(b) Find the cumulative distribution function (CDF), FX(x), of X.1(c) Sketch the graph of FX(x).
Chapter 9 Solutions
EBK RESEARCH METHODS FOR THE BEHAVIORAL
Ch. 9.1 - Describe the general characteristics of a...Ch. 9.1 - Describe how time-related factors such as history,...Ch. 9.2 - For a within-subjects experiment, explain how the...Ch. 9.2 - Define counterbalancing and explain how it is used...Ch. 9.2 - Describe the limitations of counterbalancing and...Ch. 9.3 - Explain the general advantages and disadvantages...Ch. 9.3 - Define a matched-subject design and explain how it...Ch. 9.4 - Describe the different ways that within-subjects...Ch. 9 - In addition to the key words, you should also be...Ch. 9 - Describe the characteristics of a within-subjects...
Ch. 9 - Briefly explain how an order effect such as...Ch. 9 - Under what circumstances is it advisable to switch...Ch. 9 - Describe the process of counterbalancing and the...Ch. 9 - Describe the circumstances in which...Ch. 9 - What is the advantage of removing the variability...Ch. 9 - Explain how a within-subjects design avoids the...Ch. 9 - A researcher has a sample of 30 rats that are all...Ch. 9 - Explain how a matched-subjects design attempts to...Ch. 9 - Describe the disadvantages of a multiple-treatment...Ch. 9 - researcher has a sample of 30 rats that are all...Ch. 9 - In a Latin square, each treatment condition occurs...
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- 9. The concentration function of a random variable X is defined as Qx(h) = sup P(x ≤ X ≤x+h), h>0. Show that, if X and Y are independent random variables, then Qx+y (h) min{Qx(h). Qr (h)).arrow_forward10. Prove that, if (t)=1+0(12) as asf->> O is a characteristic function, then p = 1.arrow_forward9. The concentration function of a random variable X is defined as Qx(h) sup P(x ≤x≤x+h), h>0. (b) Is it true that Qx(ah) =aQx (h)?arrow_forward
- 3. Let X1, X2,..., X, be independent, Exp(1)-distributed random variables, and set V₁₁ = max Xk and W₁ = X₁+x+x+ Isk≤narrow_forward7. Consider the function (t)=(1+|t|)e, ER. (a) Prove that is a characteristic function. (b) Prove that the corresponding distribution is absolutely continuous. (c) Prove, departing from itself, that the distribution has finite mean and variance. (d) Prove, without computation, that the mean equals 0. (e) Compute the density.arrow_forward1. Show, by using characteristic, or moment generating functions, that if fx(x) = ½ex, -∞0 < x < ∞, then XY₁ - Y2, where Y₁ and Y2 are independent, exponentially distributed random variables.arrow_forward
- 1. Show, by using characteristic, or moment generating functions, that if 1 fx(x): x) = ½exarrow_forward1990) 02-02 50% mesob berceus +7 What's the probability of getting more than 1 head on 10 flips of a fair coin?arrow_forward9. The concentration function of a random variable X is defined as Qx(h) sup P(x≤x≤x+h), h>0. = x (a) Show that Qx+b(h) = Qx(h).arrow_forward
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