The following weights are for 16 Grizzly Bears in North America. They are:
125, 114, 108, 135, 144, 124, 110, 152, 134, 117, 98, 116, 202, 225, 169, 160
In: Statistics and Probability
Lacrosse is one of the oldest sports in North America. Despite its long history, it is a very dangerous contact sport comparable with football and ice hockey. Lacrosse involves inherent impact to participants and the National Collegiate Athletic Association (NCAA) stated that head injuries account for approximately 13% of all game-related injuries in the sport. Head injuries and repetitive head impacts can cause cumulative damage and chronic neurologic problems. Helmets are required in the sport but around 2000, there were several versions of helmets allowed with no mention of which version would offer the greatest level of protection. Some of these helmet types were deemed ‘Traditional’ while some were newer, more lightweight and considered to be ‘Contemporary’. These helmets are designed to take impact from all directions but two specific impact sites are of particular interest: a head-on collision where impact is received from the ‘Front’ and a blind-side impact where impact is received from the ‘Rear’.
A researcher interested in head injury prevention and lacrosse helmet protection, attempted to study which version of helmet was best in different impact situations. In order to have a quantitative measure of impact severity, the Gadd Severity Index (GSI) was used by the researcher. Note that higher GSI scores correspond to more severe impacts and, consequently, lower GSI scores are preferable.
(2) Using the StatCrunch output stated bellow, state initial conclusions that could be made in two to four complete sentences.
the Data:
I) Two measures of center and two measures of variation for the sample overall
2 measures of center
Mean Median
1154.1125 1110.47
2 measures of variation
Variance Std. dev.
62462.103 249.92419
ii) Two measures of center and two measures of variation for the sample ‘grouped by’ helmet type (i.e. contemporary and traditional).
data
2 measures of center
Mean Median
Contemporary 1070.0749 1065.26
Traditional 1238.1501 1288.002
2 measures of variation
Variance Std. dev.
Contemporary 25801.136 160.62732
Traditional 86237.861 293.66283
iii) Two measures of center and two measures of variation for the sample ‘grouped by’ impact site (i.e. front and rear).
2 measures of center
Mean Median
Back 1217.35 1115.797
Front 1090.875 1093.975
2 measures of variation
Variance Std. dev.
Back 73260.9 270.66751
Front 45061.863 212.2778
In: Statistics and Probability
The percent of fat calories that a person in America consumes each day is normally distributed with a mean of about 40 and a standard deviation of 15 . Suppose that one individual is randomly chosen. Let X= percent of fat calories.
In each appropriate box you are to enter either a rational number in "p/q" format or a decimal value accurate to the nearest 0.01 .
In: Economics
Looking at moral reasoning in America, Carol Gilligan contends that the emphasis on autonomy and independence is based on a masculine ideal, whereas a focus on social relationships, empathy, and interconnectedness lies at the heart of the feminist perspective.
Please describe Gilligan’s case for gender bias in Kohlberg's theory of moral reasoning. How does she justify her argument? How does her theory of moral reasoning relate to Erikson’s ideas about the relationship between autonomy and intimacy?
In: Psychology
America Online (AOL) is a leader in the Internet access provider industry. In 1996, the company changed a controversial accounting method involving the treatment of the cost of advertising and free trials. The following is an excerpt from a May 15, 2000, CNET News.com article:
America Online will pay a civil penalty of $3.5 million as part of a settlement with the Securities and Exchange Commission over the accounting of advertising costs. According to the SEC, the Internet and media giant improperly reported most of the costs of acquiring new subscribers – such as the expense of sending computer disks to potential customers – as an asset. As a result, the SEC said AOL posted a profit for six of eight quarters in 1995 and 1996 but would have recorded a loss if the company followed recommended accounting practices.
AOL, backed by its auditor, defended the accounting method of capitalizing these costs arguing that spreading the costs over two years was a justifiable way to match expenses against revenue flows that would emerge later. In 1996, AOL switched to expensing these costs in the period incurred.
Consider the general treatment of advertising and promotion costs.
In: Finance
In: Economics
Baseball has always been a favorite pastime in America and is
rife with statistics and theories. In a paper, researchers showed
that major league players who have nicknames live an average of 2½
years longer than those without them (The Wall Street
Journal, July 16, 2009). You do not believe in this result and
decide to collect data on the lifespan of 30 baseball players along
with a nickname variable that equals 1 if the player had a nickname
and 0 otherwise. The data are shown in the accompanying table and
are contained in the accompanying Excel file. (You may find
it useful to reference the appropriate table: z table
or t table)
| Years | Nickname | Years | Nickname | Years | Nickname | |||
| 74 | 1 | 61 | 0 | 68 | 1 | |||
| 62 | 1 | 64 | 0 | 68 | 0 | |||
| 67 | 1 | 70 | 0 | 64 | 1 | |||
| 73 | 1 | 71 | 1 | 67 | 1 | |||
| 49 | 1 | 69 | 1 | 64 | 0 | |||
| 62 | 0 | 56 | 0 | 63 | 1 | |||
| 56 | 0 | 68 | 1 | 68 | 1 | |||
| 63 | 0 | 70 | 1 | 68 | 1 | |||
| 80 | 1 | 79 | 1 | 74 | 0 | |||
| 65 | 1 | 67 | 0 | 64 | 0 | |||
Click here for the Excel Data File
Let Samples 1 and 2 represent major-league players with and without
nicknames, respectively.
a. Create two subsamples consisting of players
with and without nicknames. Calculate the average longevity for
each subsample. (Round your answers to 4 decimal
places.)
b. Specify the hypotheses to contradict the claim
made by researchers.
H0: μ1 − μ2 = 2.5; HA: μ1 − μ2 ≠ 2.5
H0: μ1 − μ2 ≥ 2.5; HA: μ1 − μ2 < 2.5
H0: μ1 − μ2 ≤ 2.5; HA: μ1 − μ2 > 2.5
c-1. Calculate the value of the test statistic.
Assume that the population variances are unknown but equal.
(Round your answer to 3 decimal places.)
c-2. Find the p-value.
p-value ≤ 0.01
0.01 < p-value ≤ 0.02
0.02 < p-value ≤ 0.05
0.05 < p-value ≤ 0.10
p-value > 0.10
d. What is the conclusion of the test using a 5%
level of significance?
Reject H0; the sample data disproves the claim by the researchers.
Reject H0; the sample data does not disprove the claim by the researchers.
Do not reject H0; the sample data disproves the claim by the researchers.
Do not reject H0; the sample data does not disprove the claim by the researchers.
In: Statistics and Probability
In North America and Europe, as countries developed from the late 19th to the late 20th century, social insurance (public pension) schemes, unemployment benefits, and publicly provided health care and welfare schemes became more pervasive. Over that period, the extended family was replaced by the nuclear family. Use the concepts of economies of scope and path dependency to explain why this happened and why the transformation took several generations.
In: Economics
1) Bank of America has a preferred stock dividend of $3.76. The stock is trading for $62.66. What is the expected return of the preferred stock?
2) A company had free cash flows of $370 million last year. Free cash flows are expected to grow at 2.4% per year. The WACC for the firm is 7.1%. They currently have $7.9 billion in debt outstanding, and have 189 million common stock outstanding. The company does not have any preferred stock. What is the estimate of the stock price based on the firm valuation model?
3) A company had free cash flows of $522 million last year. Free cash flows are expected to grow at 3.8% per year. The WACC for the firm is 8.9%. They currently have $6.9 billion in debt outstanding, and have 211 million common stock outstanding. The company has 75 million preferred stock outstanding, that currently trade at $36. What is the estimate of the stock price based on the firm valuation model?
In: Finance
The Salary Institute of America (SIOA) has gathered the following data on individuals working in the retail industry in Alabama.
a. Construct a 90% confidence interval to estimate the population mean salary for females with bachelors who work in the retail industry in Alabama. Interpret your interval.
b. Suppose you would like to estimate the population proportiion of retail workers in Georgia who have a masters degree with 95% confidence and a margin of error of 3 percentage points. How large of a sample would you need? Interpret your interval.
| Gender | Age | Experience | Education | Annual_Salary |
| Male | 30 | 3 | Bachelors | $38,556 |
| Male | 31 | 1 | Masters | $35,829 |
| Female | 29 | 5 | High School | $14,371 |
| Male | 34 | 2 | Bachelors | $19,106 |
| Female | 33 | 1 | Masters | $36,109 |
| Female | 27 | 0 | High School | $17,439 |
| Female | 42 | 11 | Bachelors | $49,987 |
| Female | 21 | 0 | Bachelors | $17,784 |
| Male | 29 | 3 | Bachelors | $22,100 |
| Male | 23 | 0 | Bachelors | $26,118 |
| Female | 36 | 5 | Masters | $39,205 |
| Male | 37 | 11 | Bachelors | $42,331 |
| Female | 44 | 7 | Bachelors | $49,861 |
| Female | 25 | 2 | Bachelors | $27,750 |
| Female | 39 | 5 | Bachelors | $38,450 |
| Female | 50 | 10 | Bachelors | $76,927 |
| Male | 56 | 5 | Bachelors | $109,285 |
| Male | 44 | 12 | Masters | $50,912 |
| Female | 32 | 4 | Bachelors | $33,100 |
| Male | 28 | 0 | Bachelors | $36,901 |
| Male | 46 | 4 | Masters | $54,613 |
| Female | 23 | 0 | Bachelors | $28,743 |
| Female | 20 | 0 | High School | $15,945 |
| Female | 34 | 10 | Bachelors | $37,183 |
| Male | 46 | 7 | Bachelors | $57,966 |
| Male | 60 | 10 | Bachelors | $85,471 |
| Male | 47 | 5 | Bachelors | $54,199 |
| Female | 51 | 10 | Bachelors | $90,473 |
| Female | 33 | 6 | Masters | $40,207 |
| Male | 58 | 9 | Bachelors | $88,763 |
| Male | 53 | 13 | Masters | $90,874 |
| Male | 55 | 11 | Masters | $89,867 |
| Male | 31 | 5 | Masters | $41,956 |
| Male | 40 | 4 | Masters | $54,965 |
| Male | 33 | 2 | Bachelors | $39,224 |
| Male | 25 | 0 | Bachelors | $30,327 |
| Female | 51 | 12 | Masters | $87,489 |
| Female | 45 | 20 | Bachelors | $51,259 |
| Female | 52 | 12 | Bachelors | $93,278 |
| Male | 63 | 16 | Bachelors | $93,588 |
| Female | 35 | 5 | Masters | $43,184 |
| Female | 27 | 0 | High School | $18,014 |
| Male | 26 | 0 | Bachelors | $21,750 |
| Male | 38 | 6 | Masters | $39,455 |
| Female | 48 | 6 | Bachelors | $53,388 |
| Male | 24 | 0 | Bachelors | $29,356 |
| Male | 47 | 11 | Bachelors | $49,638 |
| Female | 50 | 8 | Bachelors | $51,194 |
| Female | 41 | 9 | Bachelors | $48,442 |
| Female | 42 | 11 | Bachelors | $50,712 |
| Female | 37 | 8 | Bachelors | $31,008 |
| Female | 35 | 3 | Bachelors | $36,932 |
In: Statistics and Probability