7. The simplest possible experimental design
a. has one condition
b. has two conditions
c. uses random assignment
d. is a multi-level experiment
8. In a ________ design, participants are randomly assigned to one of two or more groups.
a. pretest-posttest
b. repeated measures
c. matched-participants
d. randomized groups
9. Which of the following is an advantage of matched-subjects designs over randomized groups designs? a. fewer participants are needed
b. the experimental groups are more likely to be similar
c. they are easier to conduct
d. pretest sensitization is less likely
10. Which of the following is an advantage of repeated measures over randomized groups designs?
a. order effects are possible
b. the experimental groups are likely to be more random
c. fewer participants are needed
d. fewer experimental conditions are used
In: Psychology
5. Why is it necessary to assume that the data are distributed normally when calculating a z score?
6. Why do descriptive statistics differ for variables with different levels of measurement?
7. A researcher collects data on the ages of individuals in two separate samples of equal size and concludes that one sample’s distribution is extremely platykurtic and the other sample’s distribution is extremely leptokurtic. What conclusion (if any) can the researcher make about comparisons of the frequency of cases in the modal categories in the two samples? Why?
8. If the z score corresponding to the length of one inmate’s prison sentence is 1.8 and the z score corresponding to the length of another inmate’s prison sentence is 2.5, what could you say about the severity of the first inmate’s sentence relative to the second inmate’s sentence?
9. What is obtained when we calculate a confidence interval?
In: Statistics and Probability
For this lab, you will write a C++ program that will calculate the
matrix inverse of a matrix no bigger than 10x10. I will guarantee
that the matrix will be invertible and that you will not have a
divide by 0 problem.
For this program, you are required to use the modified Gaussian
elimination algorithm. Your program should ask for the size (number
of rows only) of a matrix. It will then read the matrix, calculate
the inverse, and print the inverse, and quit. I do not care if you
use two separate matrices one for the original and one for the
inverse or if you combine the two. Note: the matrix should be a
float, and you will need to use the cmath round function to get the
output below.
Sample Run:
./a.out input row size 3 input the matrix to invert -1 2 -3 2 1 0 4 -2 5 the inverse is: -5 4 -3 10 -7 6 8 -6 5
In: Computer Science
For this lab, you will write a C++ program that will calculate
the matrix inverse of a matrix no bigger than 10x10. I will
guarantee that the matrix will be invertible and that you will not
have a divide by 0 problem.
For this program, you are required to use the modified Gaussian
elimination algorithm. Your program should ask for the size (number
of rows only) of a matrix. It will then read the matrix, calculate
the inverse, and print the inverse, and quit. I do not care if you
use two separate matrices one for the original and one for the
inverse or if you combine the two. Note: the matrix should be a
float, and you will need to use the cmath round function to get the
output below.
Sample Run:
./a.out input row size 3 input the matrix to invert -1 2 -3 2 1 0 4 -2 5 the inverse is: -5 4 -3 10 -7 6 8 -6 5
In: Computer Science
List and explain the seven (7) ways MNE’s handle employee relations.
In: Operations Management
In: Nursing
. Dice rolling: In c++Write a program that simulates the rolling of two dice. The sum of the two values should then be calculated. [Note: Each die can show an integer value from 1 to 6, so the sum of the two values will vary from 2 to 12, with 7 being the most frequent sum and 2 and 12 being the least frequent sums.] The following table shows the 36 possible combinations of the two dice. Your program should roll the two dice 36,000,000 times. Use a onedimensional array to tally the numbers of times each possible sum appears. Print the results in a tabular format. Also determine if the totals are reasonable (i.e., there are six ways to roll a 7, so approximately one-sixth of all the rolls should be 7).
In: Computer Science
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40 |
30 |
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370 |
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110 |
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20 |
10 |
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70 |
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10 |
20 |
In: Statistics and Probability
Many standard statistical methods that you will study in Part II of this book are intended for use with distributions that are symmetric and have no outliers. These methods start with the mean and standard deviation, x and s. For example, standard methods would typically be used for the IQ and GPA data here data457.dat.
(a) Find x and s for the IQ data. (Round your answers to two decimal places.)
| x | = |
| s | = |
(b) Find the median IQ score. It is, as we expect, close to the
mean.
(c) Find the mean and median for the GPA data. The two measures of
center differ a bit. (Round your answers to two decimal
places.)
| mean | = |
| median | = |
What feature of the data (make a stemplot or histogram to see)
explains the difference?
obs gpa iq gender concept 1 10.38 111 2 67 2 3.53 101 2 43 3 9.37 96 2 52 4 8.83 117 2 66 5 9.06 109 1 58 6 10.41 104 2 51 7 9.04 127 2 71 8 4.45 119 2 51 9 9.66 67 1 49 10 9.43 104 2 51 11 8.49 132 1 35 12 10.93 70 1 54 13 9.96 104 2 54 14 8.19 131 1 64 15 7.17 93 1 56 16 10.53 83 1 69 17 6.39 115 1 55 18 7.67 88 1 65 19 4.75 63 2 40 20 6.64 106 1 66 21 8.27 88 2 55 22 5.21 75 2 20 24 7.47 91 1 56 26 9.05 70 2 68 27 8.99 103 1 69 28 6.76 80 2 70 29 6.72 107 2 80 30 10.69 112 2 53 31 7.49 103 2 65 32 9.35 125 1 67 33 9.49 80 1 62 34 9.49 112 1 39 35 8.94 84 2 71 36 10.75 100 2 59 37 8.96 85 1 60 38 8.35 106 2 64 39 9.78 109 2 71 40 7.72 84 1 72 41 10.98 83 1 54 43 10.75 111 2 64 44 8.06 98 2 58 45 10.25 87 2 70 46 7.43 119 2 72 47 10.06 114 2 70 48 7.05 77 2 47 50 6.53 113 2 52 51 7.17 89 1 46 52 6.8 113 2 66 53 5.67 68 2 67 54 7.84 137 2 63 55 8.68 98 2 53 56 8.9 123 2 67 57 10.41 111 2 61 58 9.62 96 1 54 59 8.77 99 1 60 60 10.72 95 1 60 61 3.49 105 2 63 62 10.02 92 2 30 63 4.01 97 2 54 64 7.52 94 2 66 65 4.12 94 2 44 68 9.06 113 2 49 69 10.23 94 1 44 71 10.57 89 2 67 72 4.4 83 1 64 74 9.99 107 2 73 76 10.17 122 2 59 77 9.64 113 1 37 78 10.54 121 1 63 79 9.88 112 2 36 80 7.32 88 1 64 83 8.3 76 2 42 84 10.92 91 1 28 85 4.48 79 1 60 86 9.93 111 1 70 87 7.77 102 2 51 88 9.19 86 1 21 89 9.87 107 2 56
In: Statistics and Probability
Many standard statistical methods that you will study in Part II of this book are intended for use with distributions that are symmetric and have no outliers. These methods start with the mean and standard deviation, x and s. For example, standard methods would typically be used for the IQ and GPA data here data211.dat.
(a) Find x and s for the IQ data. (Round your answers to two decimal places.)
x =
s =
(b) Find the median IQ score. It is, as we expect, close to the mean.
(c) Find the mean and median for the GPA data. The two measures of center differ a bit. (Round your answers to two decimal places.)
mean =
median =
What feature of the data (make a stemplot or histogram to see) explains the difference?
obs gpa iq gender concept
1 6.78 99 2 67
2 9.48 76 2 43
3 8.94 128 2 52
4 10.76 122 2 66
5 5.84 88 1 58
6 5.51 106 2 51
7 8.23 108 2 71
8 5.25 61 2 51
9 10.28 117 1 49
10 8.71 89 2 51
11 9.8 112 1 35
12 7.57 108 1 54
13 5.85 111 2 54
14 9.94 82 1 64
15 9.22 87 1 56
16 7.47 89 1 69
17 10.18 89 1 55
18 9.45 97 1 65
19 9.97 116 2 40
20 10.37 102 1 66
21 8.37 95 2 55
22 6.31 107 2 20
24 10.9 89 1 56
26 10.82 110 2 68
27 5.8 83 1 69
28 4.69 111 2 70
29 9.06 87 2 80
30 9.71 99 2 53
31 6.46 113 2 65
32 4.16 94 1 67
33 9.18 94 1 62
34 5.09 89 1 39
35 8.4 98 2 71
36 7.24 97 2 59
37 9.34 89 1 60
38 5.97 64 2 64
39 10.26 112 2 71
40 8.94 93 1 72
41 9.11 99 1 54
43 9.72 94 2 64
44 4.64 110 2 58
45 8.57 77 2 70
46 5.45 126 2 72
47 10.07 131 2 70
48 9.63 131 2 47
50 4.83 80 2 52
51 5.61 107 1 46
52 9.53 97 2 66
53 10.11 117 2 67
54 8.54 124 2 63
55 9.36 97 2 53
56 10.6 91 2 67
57 9.75 96 2 61
58 7.82 97 1 54
59 9.02 83 1 60
60 5.45 89 1 60
61 9.25 104 2 63
62 8.82 95 2 30
63 5.71 117 2 54
64 9.37 89 2 66
65 10.8 86 2 44
68 9.67 111 2 49
69 7.97 106 1 44
71 9.12 92 2 67
72 7.68 116 1 64
74 10.07 108 2 73
76 10.45 103 2 59
77 8.22 103 1 37
78 9.57 87 1 63
79 6.84 87 2 36
80 6.51 102 1 64
83 10.11 113 2 42
84 10.6 114 1 28
85 9.14 113 1 60
86 7.18 124 1 70
87 7.91 95 2 51
88 3.89 95 1 21
89 8.24 87 2 56
In: Statistics and Probability