Pursuing an MBA is a major personal investment. Tuition and expenses associated with business school programs are costly, but the high costs come with hopes of career advancement and high salaries. A prospective MBA student would like to examine the factors that impact starting salary upon graduation and decides to develop a model that uses program per-year tuition as a predictor of starting salary. Data were collected for 37 full-time MBA programs offered at private universities. The data are stored in the accompanying table. Complete parts (a) through (e) below.
a. Construct a scatter plot.
b. Assuming a linear relationship, use the least-squares method to determine the regression coefficients b0 and b1.
c. Interpret the meaning of the slope, b1, in this problem.
d. Predict the mean starting salary upon graduation for a program that has a per-year tuition cost of $47,424.
e. What insights can be obtained about the relationship between program per-year tuition and starting salary upon graduation?
| Program Per-Year Tuition ($) | Mean Starting Salary Upon Graduation ($) |
| 62525 | 155817 |
| 67451 | 152357 |
| 67749 | 149035 |
| 67666 | 144735 |
| 66779 | 138899 |
| 65528 | 152385 |
| 65695 | 151892 |
| 67655 | 151383 |
| 64351 | 135432 |
| 63923 | 141959 |
| 67172 | 143153 |
| 60574 | 145089 |
| 61936 | 139567 |
| 56822 | 135936 |
| 53789 | 127037 |
| 54703 | 116149 |
| 56016 | 124588 |
| 50732 | 128107 |
| 52677 | 129467 |
| 50944 | 121455 |
| 47172 | 115002 |
| 47340 | 110982 |
| 48454 | 111045 |
| 44833 | 106917 |
| 36539 | 81620 |
| 48766 | 79609 |
| 47016 | 101254 |
| 51112 | 74476 |
| 37992 | 88178 |
| 34391 | 76630 |
| 43591 | 74766 |
| 43030 | 52071 |
| 50032 | 65298 |
| 33704 | 103286 |
| 23853 | 54156 |
| 42047 | 81971 |
| 39597 | 53127 |
In: Statistics and Probability
: A researcher is interested in whether salaries for middle school teachers were less than salaries for nurses in Arkansas. A statewide salary survey is conducted using random sampling.
The Data Analysis output for the various tests used when comparing two group means are shown below. The significance level was .05.
|
F-Test Two-Sample for Variances |
||
|
Teachers |
Nurses |
|
|
Mean |
45946.07 |
53365.13 |
|
Variance |
68256753 |
86820446 |
|
Observations |
300 |
300 |
|
df |
299 |
299 |
|
F |
0.7862 |
|
|
P(F<=f) one-tail |
0.0190 |
|
|
F Critical one-tail |
0.8265 |
|
|
t-Test: Paired Two Sample for Means |
||
|
Variable 1 |
Variable 2 |
|
|
Mean |
45946.07 |
53365.13 |
|
Variance |
68256753 |
86820446 |
|
Observations |
300 |
300 |
|
Pearson Correlation |
0.191488 |
|
|
Hypothesized Mean Difference |
0 |
|
|
df |
299 |
|
|
t Stat |
-11.4663 |
|
|
P(T<=t) one-tail |
9.01E-26 |
|
|
t Critical one-tail |
1.649966 |
|
|
P(T<=t) two-tail |
1.8E-25 |
|
|
t Critical two-tail |
1.96793 |
|
|
t-Test: Two-Sample Assuming Equal Variances |
||
|
Teachers |
Nurses |
|
|
Mean |
45946.07 |
53365.13 |
|
Variance |
68256753 |
86820446 |
|
Observations |
300 |
300 |
|
Pooled Variance |
77538599 |
|
|
Hypothesized Mean Difference |
0 |
|
|
df |
598 |
|
|
t Stat |
-10.319 |
|
|
P(T<=t) one-tail |
2.19E-23 |
|
|
t Critical one-tail |
1.647406 |
|
|
P(T<=t) two-tail |
4.37E-23 |
|
|
t Critical two-tail |
1.963939 |
|
|
t-Test: Two-Sample Assuming Unequal Variances |
||
|
Teachers |
Nurses |
|
|
Mean |
45946.07 |
53365.13 |
|
Variance |
68256753 |
86820446 |
|
Observations |
300 |
300 |
|
Hypothesized Mean Difference |
0 |
|
|
df |
590 |
|
|
t Stat |
-10.319 |
|
|
P(T<=t) one-tail |
2.3E-23 |
|
|
t Critical one-tail |
1.64744 |
|
|
P(T<=t) two-tail |
4.61E-23 |
|
|
t Critical two-tail |
1.963993 |
|
a) What is the appropriate two sample test to perform – the paired t test, the t test assuming equal variances, or the t test assuming unequal variances – for this research project?
b) State the H0 and Ha.
c) Identify the decision rule using the critical value of t (round to three decimal places).
d) Identify the decision rule using the p value method.
e) State the test statistic (t calc).
f) Do you reject or not reject Ho? Explain your decision.
In: Statistics and Probability
Jessica has decided to apply the concepts in a balanced scorecard to evaluate and improve her business. Her vision for this business is to provide clients with high quality websites that receive a relatively high number of hits. Recently, word-of-mouth advertising has led to more requests for websites with creative animated graphics. As part of her balanced scorecard, she tracked the following measures over the last two years for her individual clients.
|
2018 |
2019 |
|
|
Average revenue per individual client |
$2,000 |
$1,500 |
|
Average time from start to finish (business days) |
10 |
13 |
|
Average site ranking on top two search engines |
15 |
21 |
|
Total revenue |
$80,000 |
$78,000 |
|
Total labour cost |
$20,000 |
$22,000 |
|
Total electricity and phone costs |
$2,100 |
$2,400 |
|
Number of individual clients |
40 |
52 |
|
Employee turnover |
1 |
0 |
50 Required:
In: Accounting
A nationwide award for high school students is given to outstanding students who are sophomores, juniors, or seniors (freshmen are not eligible). Of the award-winners, 65 percent are SENIORS, 20 percent JUNIORS, and 15 percent are SOPHOMORES.
Note: Your answers should be expressed as decimals rounded to three decimal places.
(a) Suppose we select award-winners one at a time and continue selecting until a SENIOR is selected. What is the probability that we will select exactly three award-winners?
(b) Suppose we select award-winners one at a time and continue selecting until a JUNIOR is selected. What is the probability that we will select at least three award-winners?
(c) Suppose we select award-winners one at a time continue selecting until a SOPHOMORE is selected. What is the probability that we will select 2 or fewer award-winners?
In: Statistics and Probability
In: Statistics and Probability
Q3.(15) The SAT scores for US high school students are normally distributed with a mean of 1500 and a standard deviation of 100.
1.(5) Calculate the probability that a randomly selected student has a SAT score greater than 1650.
2.(5) Calculate the probability that a randomly selected student has a SAT score between 1400 and 1650, inclusive.
3.(5) If we have random sample of 100 students, find the probability that the mean scores between 1485 and 1510, inclusive.
In: Statistics and Probability
In: Statistics and Probability
Regardless of your reasoning in the previous question, you find yourself back in school studying the historical economy of Liechtenstein. On the first day, you find yourself in the bookstore purchasing pens and notebooks for classes. You’ve decided that the marginal utility from the next notebook you pick up is 12 and the marginal utility from the next pen you get is 3. The notebooks are priced at $3 while the pens are only $0.50. The bundle you’re considering buying is on your budget constraint.
a. Is the bundle of notebooks and pens you’re considering buying optimal? Why or why not?
b. If the bundle is not optimal, does the optimal bundle contain more pens and fewer notebooks, or more notebooks and fewer pens?
This is the previous question just for context: Fascinated by what you’ve learned during your research, you begin to contemplate returning to college with the goal of becoming the world’s leading expert on Liechtensteinian ale production. Discuss the opportunity costs you’d face in such an endeavor.
In: Economics
1. Most inmates in American prisons are people with a high school education or less. So there’s a good chance that most of you will end up in prison after you graduate from Bowie State University. A. Strong, cogent B. Strong, uncogent C. Weak
2. All contemporary intellectuals are very literate. Cornel West is a contemporary intellectual. Therefore, Cornel West is very literate. A. Valid, sound B. Valid, unsound C. Invalid
3. Everyone is either Christian or an atheist. But Jews and Muslims are not Christians. Therefore, Jews and Muslims are atheists. A. Valid, sound B. Valid, unsound C. Invalid
4. If Martin Luther King, Jr. was a Christian, then he believed in God. Martin Luther King, Jr. was a Christian. Therefore, he believed in God. A. Valid, sound B. Valid, unsound C. invalid
5. All Americans are wise and just. Donald Trump is an American. Therefore, Donald Trump is wise and just. A. Valid, sound B. Valid, unsound C. Invalid
6. All Hindus are theists. All Christians are theists. Therefore, all Christians are Hindus. A. Valid, sound B. Valid, unsound C. Invalid
In: Economics
Before analyzing the data for relationships, the school counselor decides that he should first look at the population parameters of the SAT scores. he finds that the population of SAT scores. he finds that the population of SAT scores is normally distributed with a mean of 500 and a standard deviation of 100.
1. Draw this theoretical population, scale the x-axis in raw SAT scores, and provide demaraction lines (vertical dotted lines) where -2,-1,0,+2 Z-scores would fall. indicate the relative proportion of data that fall between each z-score, including the proportion of data +/-2.
2.provide the z-scores for a) x=500, b)x=530, c)x=470.
3.provide the raw scores for z=-2.1, z=+.85, and z=0
4.provide the raw scores for the 5th, 50th, and 95th percentiles.
5. give the probability that a randomly selected score would:
a. Fall at x=500 or below
b. Fall at 530 or above
c. Fall at or below 470
d. Fall at or above 380
e. Fall at or below z=0
f. Fall at or above z=-2.1
g. Fall at or above z=+.85
In: Statistics and Probability