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ax+by+c=0.ax+by+c=0.
Let (s′,t′)(s′,t′) be the reflection of the point (s,t)(s,t) in ℓℓ. Find a formula that computes the coordinates of (s′,t′)(s′,t′) if one knows the numbers s,t,a,bs,t,a,b and cc. Your formula should depend on the variables s,t,a,bs,t,a,b and cc. It should work for arbitrary values of s,t,a,bs,t,a,b and cc as long as (a,b)≠(0,0)(a,b)≠(0,0). Its output should be a point.
In: Math
Given a normal distribution with mu equals 100 and sigma equals 10 comma complete parts (a) through (d). cumulative standardized normal distribution table.
a. What is the probability that Upper X greater than 80?
The probability that Upper X greater than 80 is . (Round to four decimal places as needed.)
b. What is the probability that Upper X less than 95?
The probability that Upper X less than 95 is . (Round to four decimal places as needed.)
c. What is the probability that Upper X less than 85 or Upper X greater than 110?
The probability that Upper X less than 85 or Upper X greater than 110 is . (Round to four decimal places as needed.)
d. 80% of the values are between what two X-values (symmetrically distributed around the mean)?
80% of the values are greater than nothing and less than . (Round to two decimal places as needed.)
In: Math
Investment advisors agree that near-retirees, defined as people aged 55 to 65, should have balanced portfolios. Most advisors suggest that the near-retirees have no more than 50% of their investments in stocks. However, during the huge decline in the stock market in 2008, 23% of near-retirees had 85% or more of their investments in stocks. Suppose you have a random sample of 10 people who would have been labeled as near-retirees in 2008. Complete parts (a) through (d) below.
a. What is the probability that during 2008 none had 85% or more of their investment in stocks? The probability is . (Round to four decimal places as needed.)
b. What is the probability that during 2008 exactly one had 85% or more of his or her investment in stocks? The probability is . (Round to four decimal places as needed.)
c. What is the probability that during 2008 two or fewer had 85% or more of their investment in stocks? The probability is . (Round to four decimal places as needed.)
d. What is the probability that during 2008 three or more had 85% or more of their investment in stocks? The probability is . (Round to four decimal places as needed.)
In: Math
A doctor has scheduled two appointments, one at 1pm and the other at 1:30pm. The amount of time the doctor spends with the patient is a constant 20 minutes plus a random amount of time which is distributed as exponential with mean 8 minutes. Assume that both patients will be on time for their appointments.
The time the 1:30 appointment spends in the office is the sum of 3 parts: the random waiting time W, the constant 20 minutes of examination time and the additional random examination time T.
We seek E[W + 20 + T] = E[W] + 20 + E[T]
To determine the E[W], condition on whether or not the 1:00pm appointment is still going on at 1:30pm.
Explanations with answers please
In: Math
In your own words, explain what an outlier is.
In: Math
Question 2: Use the following information to complete Exercises 3 – 5: A political scientist took a pool of the political attitudes of the students in one of his classes. Students were asked to rate, on a scale from 1 to 11, “What is your overall political attitude?”, where 1 = extremely liberal and 11 = extremely conservative. The following frequency analysis resulted: (1.5 points)
Political Attitude Score |
f |
rf |
cf |
crf |
11 |
1 |
.015 |
67 |
1.000 |
10 |
3 |
.045 |
66 |
.985 |
9 |
14 |
.209 |
63 |
.940 |
8 |
6 |
.090 |
49 |
.731 |
7 |
2 |
.030 |
43 |
.642 |
6 |
10 |
.149 |
41 |
.612 |
5 |
9 |
.134 |
31 |
.463 |
4 |
3 |
.045 |
22 |
.328 |
3 |
11 |
.164 |
19 |
.284 |
2 |
7 |
.104 |
8 |
.119 |
1 |
1 |
.015 |
1 |
.015 |
4. Compute the values that define the following percentiles:
a. 25th b. 50th c. 57th d. 75th
What is the interquartile range of the data in #4?
6. Compute the exact percentile ranks that correspond to the following scores:
a. 3 b.
5 c.
7 d. 9
In: Math
Quality Air Conditioning manufactures three home air conditioners: an economy model, a standard model, and a deluxe model. The profits per unit are $67, $95, and $133, respectively. The production requirements per unit are as follows:
Number of Fans |
Number of Cooling Coils |
Manufacturing Time (hours) |
|
Economy | 1 | 1 | 8 |
Standard | 1 | 2 | 12 |
Deluxe | 1 | 4 | 14 |
For the coming production period, the company has 300 fan motors, 340 cooling coils, and 2000 hours of manufacturing time available. How many economy models (E), standard models (S), and deluxe models (D) should the company produce in order to maximize profit? The linear programming model for the problem is as follows:
Max | 67E | + | 95S | + | 133D | |||
s.t. | ||||||||
1E | + | 1S | + | 1D | ≤ | 300 | Fan motors | |
1E | + | 2S | + | 4D | ≤ | 340 | Cooling coils | |
8E | + | 12S | + | 14D | ≤ | 2000 | Manufacturing time | |
E, S, D ≥ 0 | ||||||||
The sensitivity report is shown in the figure below.
Optimal Objective Value = 17380.00000 | |||||||
Variable | Value | Reduced Cost | |||||
E | 180.00000 | 0.00000 | |||||
S | 0.00000 | 9.00000 | |||||
D | 40.00000 | 0.00000 | |||||
Constraint | Slack/Surplus | Dual Value | |||||
Fan motors | 80.00000 | 0.00000 | |||||
Cooling coils | 0.00000 | 7.00000 | |||||
Manufacturing time | 0.00000 | 7.50000 | |||||
Variable | Objective Coefficient |
Allowable Increase |
Allowable Decrease |
||||||
E | 67.00000 | 9.00000 | 8.10000 | ||||||
S | 95.00000 | 9.00000 | Infinite | ||||||
D | 133.00000 | 135.00000 | 15.75000 | ||||||
Constraint | RHS Value |
Allowable Increase |
Allowable Decrease |
||||||
Fan motors | 300.00000 | Infinite | 80.00000 | ||||||
Cooling coils | 340.00000 | 231.42860 | 90.00000 | ||||||
Manufacturing time | 2000.00000 | 480.00000 | 810.00000 | ||||||
Objective Coefficient Range | ||
---|---|---|
Variable | lower limit | upper limit |
E | ||
S | ||
D |
Optimal Solution | |
---|---|
E | |
S | |
D |
Right-Hand-Side-Range | ||
---|---|---|
Constraints | lower limit | upper limit |
Fan motors | ||
Cooling coils | ||
Manufacturing time |
In: Math
The number of victories (W), earned run average (ERA), runs scored (R), batting average (AVG), and on-base percentage (OBP) for each team in the American League in the 2012 season are provided in the following table. The ERA is one measure of the effectiveness of the pitching staff, and a lower number is better. The other statistics are measures of effectiveness of the hitters, and higher numbers are better for each of these.
W |
ERA |
R |
AVG |
OBP |
|
Team 1 |
93 |
3.9 |
712 |
0.247 |
0.311 |
Team 2 |
69 |
4.7 |
734 |
0.26 |
0.315 |
Team 3 |
85 |
4.02 |
748 |
0.255 |
0.318 |
Team 4 |
68 |
4.78 |
667 |
0.251 |
0.324 |
Team 5 |
88 |
3.75 |
726 |
0.268 |
0.335 |
Team 6 |
72 |
4.3 |
676 |
0.265 |
0.317 |
Team 7 |
89 |
4.02 |
767 |
0.274 |
0.332 |
Team 8 |
66 |
4.77 |
701 |
0.26 |
0.325 |
Team 9 |
95 |
3.85 |
804 |
0.265 |
0.337 |
Team 10 |
94 |
3.48 |
713 |
0.238 |
0.31 |
Team 11 |
75 |
3.76 |
619 |
0.234 |
0.296 |
Team 12 |
90 |
3.19 |
697 |
0.24 |
0.317 |
Team 13 |
93 |
3.99 |
808 |
0.273 |
0.334 |
Team 14 |
73 |
4.64 |
716 |
0.245 |
0.309 |
Develop a regression model that could be used to predict the number of victories based on the ERA.
Develop a regression model that could be used to predict the number of victories based on the runs scored.
Develop a regression model that could be used to predict the number of victories based on the batting average.
Develop a regression model that could be used to predict the number of victories based on the on-base percentage.
Which of the four models is better for predicting the number of victories?
Develop a regression model that could be used to predict the number of victories based on the ERA, runs scored, batting average, on-base percentage
Develop the best regression model that can be used to predict the number of victories
Discuss the accuracy of the regression model you developed in section g, and the significance of independent variables
In: Math
Distinguish between random and assignable variation. Discuss the relevance of each to measuring quality of care and to the design and evaluation of quality improvement initiatives.
In: Math
NCAA rules require the circumference of a softball to be 12 ± 0.125 inches. A softball manufacturer bidding on an NCAA contract is shown to meet the requirements for mean circumference. Suppose that the NCAA also requires that the standard deviation of the softball circumferences not exceed 0.05 inch. A representative from the NCAA believes the manufacturer does not meet this requirement. She collects a random sample of 25 softballs from the production line and finds that s = 0.076 inch. The Anderson-Darling test of normality gives a P-value of 0.632. Is there enough evidence to support the representative’s belief (i.e., that the standard deviation of circumferences exceeds 0.05 inch) at the α = 0.01 level of significance?
On a separate sheet of paper, write down the hypotheses (H0 and Ha) to be tested.
Conditions:
The conditions for the χ2 ("chi-square") test for
standard deviations (are / are
not) satisfied for this data.
Rejection Region:
To test the given hypotheses, we will use a (left
/ right / two) -tailed
test.
The appropriate critical value(s) for this test is/are
_____. (Report your answer exactly as it appears in
Table VII. For two-tailed tests, report both critical values in the
answer blank separated by only a single space.)
In: Math
Suppose approximately 80% of all marketing personnel are extroverts, whereas about 70% of all computer programmers are introverts. (For each answer, enter a number. Round your answers to three decimal places.) (a) At a meeting of 15 marketing personnel, what is the probability that 10 or more are extroverts? What is the probability that 5 or more are extroverts? What is the probability that all are extroverts? (b) In a group of 4 computer programmers, what is the probability that none are introverts? What is the probability that 2 or more are introverts? What is the probability that all are introverts?
In: Math
An urn contains 6 red balls and 4 green balls. Three balls are chosen randomly from the urn, without replacement.
(a) What is the probability that all three balls are red? (Round your answer to four decimal places.)
(b) Suppose that you win $20 for each red ball drawn and you lose $10 for each green ball drawn. Compute the expected value of your winnings.
In: Math
For this assignment, use data from W1 Assignment.
Compute a t-test comparing males' and females' heights. You must determine which type of t-test to compute.
Move your output into a Microsoft Word document and write a one-paragraph, APA-formatted interpretation of the results.
Participant
ID Age Sex Height
Year in college
1 18 f 60
freshman
2 17 f 61
freshman
3 18 f 62
freshman
4 18 f 63
freshman
5 23 f 66
freshman
6 25 m 65
freshman
7 22 m 66
freshman
8 21 m 68
freshman
9 37 m 69
freshman
10 32 m 72
freshman
11 19 f 70
sophomore
12 20 f 60
sophomore
13 33 f 61
sophomore
14 22 f 60
sophomore
15 23 f 65
sophomore
16 20 m 67
sophomore
17 21 m 67
sophomore
18 22 m 65
sophomore
19 27 m 70
sophomore
20 29 m 71
sophomore
21 20 f 61
junior
22 21 f 63
junior
23 33 f 64
junior
24 37 f 64
junior
25 24 f 65
junior
26 24 m 68
junior
27 26 m 67
junior
28 31 m 69
junior
29 28 m 70
junior
30 33 m 64
junior
31 21 f 63
senior
32 23 f 66
senior
33 28 f 67
senior
34 29 f 68
senior
35 52 f 62
senior
36 43 m 72
senior
37 32 m 70
senior
38 28 m 69
senior
39 29 m 67
senior
40 40 m 65
senior
In: Math
What proportion of college students plan to major in Business? You survey a random sample of 250 first-year college students, and you find that 57 of these students indicate they plan to pursue a major in Business. Use this information to construct a 90% confidence in order to estimate the population proportion of college students who plan to major in Business.
In: Math
The toco toucan, the largest member of the toucan family, possesses the largest beak relative to body size of all birds. This exaggerated feature has received various interpretations, such as being a refined adaptation for feeding. However, the large surface area may also be an important mechanism for radiating heat (and hence cooling the bird) as outdoor temperature increases. Here are data for beak heat loss, as a percent of total body heat loss from all sources, at various temperatures in degrees Celsius. [Note: The numerical values in this problem have been modified for testing purposes.]
Temperature (oC)(oC) | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Percent heat loss from beak | 34 | 32 | 33 | 29 | 38 | 46 | 58 | 50 | 46 | 53 | 44 | 51 | 57 | 58 | 59 | 58 |
The equation of the least-squares regression line for predicting beak heat loss, as a percent of total body heat loss from all sources, from temperature is: (Use decimal notation. Enter the values of the intercept and slope rounded to two decimal places. Use the letter ? to represent the value of the temperature.)
y^=
Use the equation of the least‑squares regression line to predict beak heat loss, as a percent of total body heat loss from all sources, at a temperature of 2525 degrees Celsius. Enter your answer rounded to two decimal places.
beak heat as a percent of total body heat loss=beak heat as a percent of total body heat loss= ?%
What percent of the variation in beak heat loss is explained by the straight-line relationship with temperature? Enter your answer rounded to two decimal places.
percent of variation in beak heat loss explained by the equation=percent of variation in beak heat loss explained by the equation= ?%
Find the correlation ?r between beak heat loss and temperature. Enter your answer rounded to three decimal places.
?=
In: Math