Mary Zimmerman decided to purchase a new automobile. Being concerned about environmental issues, she is leaning toward the hybrid rather than the completely gasoline four-cylinder model. Nevertheless, as a new business school graduate, she wants to determine if there is an economic justification for purchasing the hybrid, which costs $1,100 more than the regular VUE. She has determined that city/highway combined gas mileage of the Green VUE and regular VUE models are 27 and 23 miles per gallon respectively. Mary anticipates she will travel an average of 12,000 miles per year for the next several years. (Round your answers to two decimal places.

QUESTION 3 QUESTION 3

An analysis of the Business School graduates found that 210 out of 318 randomly selected graduates used An analysis of the Business School graduates found that 210 out of 318 randomly selected graduates used  a statistical inference technique during their first year of employment.a statistical inference technique during their first year of employment.

(a) Calculate a 90% confidence interval for the proportion of graduates who used a statistical inference (a) Calculate a 90% confidence interval for the proportion of graduates who used a statistical inference  technique within the first year of their employment. Present your work.technique within the first year of their employment. Present your work.

(b) Interpret the confidence interval.(b) Interpret the confidence interval.

(c) If a new follow-up study is to be undertaken, what sample size should be taken in order to estimate (c) If a new follow-up study is to be undertaken, what sample size should be taken in order to estimate  the true proportion of graduates who used a statistical inference technique in the first year of the true proportion of graduates who used a statistical inference technique in the first year of  employment within 4% with a confidence interval of 95%? employment within 4% with a confidence interval of 95%?

(d) If a new follow-up study is to be undertaken, what sample size should be taken in order to estimate (d) If a new follow-up study is to be undertaken, what sample size should be taken in order to estimate  the true proportion of graduates who used a statistical inference technique in the first year of the true proportion of graduates who used a statistical inference technique in the first year of  employment within 4% with a confidence interval of 99%?

Suppose that a recent issue of a magazine reported that the average weekly earnings for workers who have not received a high school diploma is $498. Suppose you would like to determine if the average weekly for workers who have received a high school diploma is significantly greater than average weekly earnings for workers who have not received a high school diploma. Data providing the weekly pay for a sample of 50 workers are available in the file named WeeklyHSGradPay. These data are consistent with the findings reported in the article.
Weekly Pay
687.73   543.15   789.45   442.26   684.85   661.43   478.3   629.62   486.95   786.47
652.15   652.82   669.81   641.13   577.24   845.68   541.59   553.36   743.25   468.61
821.71   757.82   657.34   506.95   744.93   553.2   827.92   663.85   685.9   637.25
530.54   515.85   588.77   506.62   720.84   503.01   583.18   7,980.24   465.55   593.12
605.33   701.56   491.86   763.4   711.19   631.73   605.89   828.37   477.81   703.06
(a)
State the hypotheses that should be used to test whether the mean weekly pay for workers who have received a high school diploma is significantly greater than the mean weekly pay for workers who have not received a high school diploma. (Enter != for ≠ as needed.)
H0:

Ha:

(b)
Use the data in the file named WeeklyHSGradPay to compute the sample mean, the test statistic, and the p-value. (Round your sample mean to two decimal places, your test statistic to three decimal places, and your p-value to four decimal places.)
sample mean   =  
778.01
test statistic   =  
1.927
p-value   =  
0.0299
(c)
Use
α = 0.05.
What is your conclusion?
Reject H0. We can not conclude that the mean weekly pay for workers who have received a high school diploma is higher than that for workers who have not received a high school diploma.
Reject H0. We can conclude that the mean weekly pay for workers who have received a high school diploma is higher than that for workers who have not received a high school diploma.
Do not reject H0. We can not conclude that the mean weekly pay for workers who have received a high school diploma is higher than that for workers who have not received a high school diploma.
Do not reject H0. We can conclude that the mean weekly pay for workers who have received a high school diploma is higher than that for workers who have not received a high school diploma.
(d)
Repeat the hypothesis test using the critical value approach.
State the null and alternative hypotheses. (Enter != for ≠ as needed.)
H0:

Ha:

Find the value of the test statistic. (Round your answer to three decimal places.)
State the critical values for the rejection rule. (Round your answers to three decimal places. If the test is one-tailed, enter NONE for the unused tail.)
test statistic   ≤  
test statistic   ≥  
State your conclusion.
Reject H0. We can not conclude that the mean weekly pay for workers who have received a high school diploma is higher than that for workers who have not received a high school diploma.
Reject H0. We can conclude that the mean weekly pay for workers who have received a high school diploma is higher than that for workers who have not received a high school diploma.
Do not reject H0. We can not conclude that the mean weekly pay for workers who have received a high school diploma is higher than that for workers who have not received a high school diploma.
Do not reject H0. We can conclude that the mean weekly pay for workers who have received a high school diploma is higher than that for workers who have not received a high school diploma.

I work in a high school. What are fixed costs of a school? The variable costs?

A soda ("7up") maker conducted a survey in 3 schools to see if children liked their brand over another generic soda. The Results are in table below...

Using a 5% significance level and based on the sample data above find out if the children liked the "7 up" over the generic kind.

The principal of a large high school wants to estimate the proportion of students who skip more than 10 days of school in a year.

A random sample of 100 students from a population of 1800 showed that 8 students skipped more than 10 days of school last year.

The upper limit (to four decimal places) of a 95% confidence interval for the proportion of students who skip more than 10 days of school in a year is

write a reflective paper summarizing your experience of going to business school to study accounting? Why study accounting, what have you learned, where do you hope to work. How are you going to use what you have learned in business school to apply to the real world?

Reflective and discuss the core Values were exhibited in your work in business school courses and throughout your program of studies in the business school.

A researcher believes that the proportion of male high school seniors who have their own cars is higher than the proportion of female high school seniors who have their own cars. In a sample of 35 male high school seniors 20 had their own cars. In a sample of 40 female high school seniors, 20 had their own cars. At α = 0.05, test the researchers claim using the five step testing method.

Paul wants to estimate the mean number of siblings for each student in his school. He records the number of siblings for each of 100 randomly selected students in the school. What is the parameter? Select the correct answer below: all the students in the school the 100 randomly selected students the specific number of siblings for each randomly selected student the mean number of siblings for all students in the school the mean number of siblings for the randomly selected students