How do women and men compare in the pursuit of academic degrees? The table below present counts (in thousands) from the Statistical Abstract of degrees earned in 1996 categorized by the level of the degree and the sex of the recipient.
Bachelor Master Professional Doctorate Totals
Female 642 227 32 18
Male 522 179 45 27
Totals
i. Explain why sex is the independent variable.
j. Describe the differences in degree distribution between men and women. Use appropriate percentages.
k. Are these differences significant? Use an appropriate statistical test (with ? = 0.01) to determine whether sex and academic degree are independent.
l. Find lambda for this table. What does this tell us?
In: Statistics and Probability
Week 3 Case Study, Information Literacy: A Road to Evidence-Based Practice
Nursing student Melissa is working on her patient care plan for this week’s clinical experience. Melissa remembers being told in class that when considering patient outcomes, the nurse must consider evidence-based practices to serve as the basis of nursing care and that the nurse’s level of education and practice will reflect in different interventions.
What process will Melissa use as the standard to investigate evidence-based care to include in her patient’s care plan?
What examples can Melissa provide to demonstrate how BSN, MSN, and Doctorate prepared nurses utilize evidence-based practice interventions differently?
In: Nursing
You probably regard your university education as an investment. You spend your valuable time, effort, and tuition fees and in return you obtain a degree. The provincial and federal governements also regard their funding of universities to be an investment. But is the investment equally effective in producing graduates across all provinces? The data bellow indicates the number of graduates at the bachelors, masters and doctorate levels and funding from four sources: Investment of university endowment funds, provincial funding, federal funding, tuition fees. Can we estimate the number of graduates from the level of these sources of funding? Does population size impact the equation? What other factors could influence results?
|
Population size |
Bachelors |
Masters |
Doctorate |
Investment Income |
Federal |
Provincial |
Tuition |
||
|
1 |
Alberta |
4,067,176 |
15720 |
3297 |
579 |
126680000 |
311184000 |
2110750000 |
798612000 |
|
2 |
British Columbia |
4,631,000 |
16980 |
4488 |
393 |
136505000 |
352119000 |
2052199000 |
1021043000 |
|
3 |
Manitoba |
1,282,000 |
5835 |
708 |
96 |
23152000 |
82805000 |
496334000 |
190402000 |
|
4 |
New Brunswick |
753,915 |
4344 |
504 |
45 |
24377000 |
54219000 |
200677000 |
132086000 |
|
5 |
Newfoundland and Labrador |
528,449 |
2760 |
531 |
51 |
3757000 |
61676000 |
292731000 |
72502000 |
|
6 |
Nova Scotia |
942,927 |
7959 |
1716 |
111 |
32551000 |
98062000 |
359035000 |
318869000 |
|
7 |
Ontario |
13,600,000 |
84714 |
13095 |
2049 |
438746000 |
1132905000 |
5010652000 |
3334466000 |
|
8 |
Prince Edward Island |
146,284 |
660 |
48 |
9 |
2134000 |
17553000 |
63118000 |
35506000 |
|
9 |
Quebec |
8,215,000 |
33438 |
9972 |
1428 |
136634000 |
745905000 |
4307043000 |
700697000 |
|
10 |
Saskatchewan |
1,130,000 |
2979 |
435 |
63 |
45108000 |
108851000 |
589425000 |
176926000 |
In: Math
A = [4, 5, 9]
B = [-4, 5, -7]
C = [2, -7, -8, 5]
D = [1, -9, 5, -3]
E = [3, 3, -1]
Uz = 1/|z| ^z
d(X,Y) = (Rθ) d = diameter R = Radius θ = Theta
Find
a. Uc
b. d (D, C)
c. Let P = B + 3E, UP =
d. A x B
e. 3B x E
f. C x D
In: Advanced Math
A consumer preference study compares the effects of three different bottle designs (A, B, and C) on sales of a popular fabric softener. A completely randomized design is employed. Specifically, 15 supermarkets of equal sales potential are selected, and 5 of these supermarkets are randomly assigned to each bottle design. The number of bottles sold in 24 hours at each supermarket is recorded. The data obtained are displayed in the following table.
| Bottle Design Study Data | ||||||||
| A | B | C | ||||||
| 19 | 29 | 24 | ||||||
| 18 | 33 | 23 | ||||||
| 16 | 32 | 26 | ||||||
| 17 | 33 | 23 | ||||||
| 18 | 32 | 24 | ||||||
| SUMMARY | ||||
| Groups | Count | Sum | Average | Variance |
| Design A | 5 | 88 | 17.6 | 1.3 |
| Design B | 5 | 159 | 31.8 | 2.7 |
| Design C | 5 | 120 | 24.0 | 1.5 |
| ANOVA | ||||||
| Source of Variation | SS | df | MS | F | P-Value | F crit |
| Between Groups | 505.7333 | 2 | 252.8667 | 137.93 | 5.25E-09 | 3.88529 |
| Within Groups | 22.0 | 12.0 | 1.8330 | |||
| Total | 527.7333 | 14 | ||||
(a) Test the null hypothesis that μA, μB, and μC are equal by setting α = .05. Based on this test, can we conclude that bottle designs A, B, and C have different effects on mean daily sales? (Round your answers to 2 decimal places.)
F=______ ; P-Value = ______; (reject/do not reject) H0: bottle design (Does/Does not) have an impact on sales.
(b) Consider the pairwise differences
μB – μA,
μC – μA ,
and μC –
μB. Find a point estimate of and a
Tukey simultaneous 95 percent confidence interval for each pairwise
difference. Interpret the results in practical terms. Which bottle
design maximizes mean daily sales? (Round your answers to 2
decimal places. Negative amounts should be
indicated by a minus sign.)
| Ub-Ua: | (confidence interval) | [ | ] |
| Uc-Ua | [ | ] | |
| Uc-Ub | [ | ] |
(c) Find a 95 percent confidence interval for each of the treatment means μA, μB, and μC. Interpret these intervals. (Round your answers to 2 decimal places. Negative amounts should be indicated by a minus sign.)
| Ua:[ | ||
| Ub:[ | ||
| Uc:[ |
In: Statistics and Probability
You have three plants that produce a certain type of boats. The capacity for next month is 38 in San Diego, 45 in Santa
Ana, and 58 in San Jose. Production cost per boat is $1,065 in San Diego, $1,005 in Santa Ana, and $975 in San Jose.
Demand for next month is 42 in Newport Beach, 33 in Long Beach, 14 in Ventura, 10 in San Luis Obispo, and 22 in San
Francisco. The shipping costs per boat are summarized in the following table:
| Shipping | Cost | to: | |||
| From | NB | LB | VEN | SLO | SF |
| SD | $200 | $220 | $280 | $350 | $400 |
| SA | $125 | $125 | $280 | $350 | $400 |
| SJ | $390 | $365 | $300 | $250 | $100 |
Develop a production and shipping schedule that minimizes the total cost of production and shipping while satisfying all
the demand.
In: Operations Management
The reaction, 2 SO3(g) 2 SO2(g) + O2(g) is endothermic. Predict what will happen with following changes. List the shift and state the reason.
a. Temperature increased:
b. Pressure decreased:
c. More O2 was added:
d. V olume decreased:
e. Catalyst was added:
In: Chemistry
Let T : V → V be a linear map. A vector v ∈ V is called a fixed point of T if Tv = v. For example, 0 is a fixed point for every linear map T. Show that 1 is an eigenvalue of T if and only if T has nonzero fixed points, and that these nonzero fixed points are the eigenvectors of T corresponding to eigenvalue 1
In: Advanced Math
A school psychologist wishes to study the influence of three new curricula plans on the history achievement of junior high school students. Although the groups of students were selected on a fairly random basis, the psychologist has learned that there is considerable disparity among the groups with respect to verbal aptitude. What is the appropriate design to use in this study? Why is the design you named about appropriate? List ALL variables involved in this design State the appropriate research question
In: Statistics and Probability
A school psychologist wishes to study the influence of three new curricula plans on the history achievement of junior high school students. Although the groups of students were selected on a fairly random basis, the psychologist has learned that there is considerable disparity among the groups with respect to verbal aptitude.
What is the appropriate design to use in this study?
Why is the design you named about appropriate?
List ALL variables involved in this design
State the appropriate research question
In: Statistics and Probability