Question
In: Statistics and Probability
Suppose average starting salary for business majors is $52236 and for communications majors it is $47047...
Suppose average starting salary for business majors is $52236 and for communications majors it is $47047 (according to NACE for 2016). Suppose the sample sizes are 619 and 76 and that the standard deviations are $6,700 and $8,650. Is there compelling evidence that the mean salary for business majors is higher than the mean salary for communications majors? Construct a hypothesis to test. Report the critical value when α = .05, the standard error, the test statistic, and your conclusion. Note that there are 86 degrees of freedom.
Solutions
orchestra answered 1 year agoRelated Solutions
(7) To investigate if majors is a factor for starting salary, we collected a random sample...
(7) To investigate if majors is a factor for
starting salary, we collected a random sample of recent graduates.
Answered the questions based on the given output.
ANOVA
Starting Salary
Sum of Squares
df
Mean Square
F
Sig
Between Groups
18296543
3
139432181
2.808
.045
Within Groups
52566751035
47962364
Total
52985047578
Student-Newman-Keuls
Major
N
Subset for alpha =
.05
1
2
a
58
55342.73
c
95
56015.95
56015.95
b
24
57631.70
d
23
57991.03
Sig....
The average starting salary of students who graduated from colleges of Business in 2009 was $48,800....
The average starting salary of students who graduated from
colleges of Business in 2009 was $48,800. A sample of 100 graduates
of 2010 showed an average starting salary of
$50,000. Assume the standard deviation of the
population is known to be $7000. We want to
determine whether or not there has been a significant
increase in the starting salaries.
a.
State the null and alternative hypotheses to be tested.
b.
Compute the test statistic.
c.
The null hypothesis is to...
The average starting salary of students who graduated from colleges of Business in 2009 was $48,400....
The average starting salary of students who graduated from
colleges of Business in 2009 was $48,400. A sample of 100 graduates
of 2010 showed an average starting salary of $50,000. Assume the
standard deviation of the population is known to be $8000. We want
to determine whether or not there has been a significant increase
in the starting salaries. Step 1. Statement of the hypothesis (1.5
marks) Step 2. Standardized test statistic formula (1 mark) Step 3.
State the level...
Suppose we have the following information on GMAT scores for business and non-business majors: Business Majors ...
Suppose we have the following information on GMAT scores for
business and non-business majors:
Business
Majors
Non-Business Majors
n1 =
8
n2 = 5
X1 =
545
X2 = 525
s1 =
120
s2 = 60
Using a 0.05 level of significance, test to see whether the
population variances are equal.
Using a 0.05 level of significance, test the clam that average
GMAT scores for business majors is above the average GMAT scores
for non-business majors in the population....
Suppose we have the following information on GMAT scores for business and non-business majors: Business Majors ...
Suppose we have the following information on GMAT scores for
business and non-business majors:
Business
Majors
Non-Business Majors
n1 =
8
n2 = 5
_
_
X1 =
545
X2 = 525
s1 =
120
s2 = 60
Using a 0.05 level of significance, test to see whether the
population variances are equal. (4 points)
b. Using a 0.05 level of significance, test the clam that
average GMAT scores for business majors is above the average GMAT
scores for...
Suppose we have the following information on GMAT scores for business and non-business majors: Business Majors...
Suppose we have the following information on GMAT scores for
business and non-business majors: Business Majors Non-Business
Majors n1 = 8 n2 = 5 _ _ X1 = 545 X2 = 525 s1 = 120 s2 = 60
a. Using a 0.05 level of significance, test to see whether the
population variances are equal.
b. Using a 0.05 level of significance, test the clam that
average GMAT scores for business majors is above the average GMAT
scores for non-business majors...
The average starting salary for this year's graduates at a large university (LU) is $20,000 with...
The average starting salary for this year's graduates at a large
university (LU) is $20,000 with a standard deviation of $4,000.
Furthermore, it is known that the starting salaries are normally
distributed. All probabilities should be to four decimal
places.
What is the probability that a randomly selected LU graduate
will have a starting salary of at least $30,400? Answer
Individuals with starting salaries of less than $15,600 receive
a low-income tax break. What percentage of the graduates will
receive...
The average starting salary of this year’s graduates of a large university (LU) is $55,000 with...
The average starting salary of this year’s graduates
of a large university (LU) is $55,000 with a standard deviation of
$4,000. Furthermore, it is known that the starting salaries are
normally distributed.
What is the probability that a randomly selected LU
graduate will have a starting salary of at least $52,700?
Individuals with starting salaries of less than $45,00
receive a free class. What percentage of the graduates will receive
the free class?
What percent of graduates will have their...
The director of a state agency believes that the average starting salary for clerical employees in...
The director of a state agency believes that the average
starting salary for clerical employees in the state is less than
$32 comma 000 per year. To test her hypothesis, she has collected
a simple random sample of 100 starting clerical salaries from
across the state and found that the sample mean is $31 comma 950.
a. nbsp State the appropriate null and alternative hypotheses. b.
Assuming the population standard deviation is known to be $1 comma
500 and the...
The variables collected for this sample are average starting salary upon graduation ($), the percentage of...
The variables collected for this sample are average starting
salary upon graduation ($), the percentage of applicants to the
full-time program who were accepted, the average GMAT test score of
students entering the program, program per-year tuition ($), and
percent of students with job offers at time of graduation.
Build a simple linear regression model with each of the
predictors and the dependent variable. Provide the R2 for each
simple linear regression model. Which predictor has the highest
correlation with...
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