Q: The average starting salary of a random sample of 100 high school students was found to be $31,840. The population standard deviation for all such individuals is known to be $9,840.

a. (12) Ten years ago, the average starting salary was $25,000. Does the sample data support the claim that the starting salary for this group has increased? Use alpha = 0.05.

b. (6) Describe in general Type I and Type II errors and the Power of the test.

c. (6) Describe in the context of the problem Type I and Type II error, and the Power of the test.

please answer ASAP. THANKS!
 

The dean of Mihaylo Business School is forecasting total student enrollment for next year based on the following historical data:

Year Total Enrollment

2015 1600

2016 2000

2017 2200

2018 2600

2019 3000

What is 2020's forecast using a 2-period moving average? Select one:

a. 2,800

b. None of the choices

c. 3,000

d. 1,960

e. 2,450

What is the MAPE value based on 2 year moving average?
Select one:

a. None of the choice
b. 0.191
c. 0.178
d. 0.144
e. 0.237

What is the forecasted value of 2020 by using a 3 year weighted moving average by using weights of 0.6, 0.3 and 0.1.
Select one:
a. 2480
b. 2800
c. 2680
d. None of the choices
e. 2400
a. None of the choice
b. 0.191
c. 0.178
d. 0.144
e. 0.237

What is the MSE value based on exponential smoothing forecast with smoothing constant of 0.4?
Select one:
a. 1,557,436
b. None of the choices
c. 576
d. 1,297,863
e. 357,985

Compare 2 year moving average and exponential smoothing with alpha=0.4, which forecasting approach is better? Using MAE as your forecast accuracy measure.
Select one:
a. Exponential smoothing with alpha=0.4
b. 2 year moving average

The dean of Mihaylo Business School is forecasting total student enrollment for next year based on the following historical data: Year Total Enrollment 2015 1600 2016 2000 2017 2200 2018 2600 2019 3000 What is 2020's forecast using a 2-period moving average? Select one: a. 2,800 b. None of the choices c. 3,000 d. 1,960 e. 2,450 What is the MAPE value based on 2 year moving average? Select one: a. None of the choice b. 0.191 c. 0.178 d. 0.144 e. 0.237 What is the forecasted value of 2020 by using a 3 year weighted moving average by using weights of 0.6, 0.3 and 0.1. Select one: a. 2480 b. 2800 c. 2680 d. None of the choices e. 2400 a. None of the choice b. 0.191 c. 0.178 d. 0.144 e. 0.237 What is the MSE value based on exponential smoothing forecast with smoothing constant of 0.4? Select one: a. 1,557,436 b. None of the choices c. 576 d. 1,297,863 e. 357,985 Compare 2 year moving average and exponential smoothing with alpha=0.4, which forecasting approach is better? Using MAE as your forecast accuracy measure. Select one: a. Exponential smoothing with alpha=0.4 b. 2 year moving average

School boards in Nova Scotia, on average receive a budget of $623.00 per student from the provincial government. A random sample of 45 rural schools report that they received on average $605 per student with a standard deviation of $74. Is there a significant difference in the budgets between rural schools and the whole province? (20%)

This question is an example of statistical research using hypothesis testing. You will need to use the 5 step model of hypothesis testing to test for significance at a=.05.

• State assumptions

• State the null hypothesis and the alternative hypothesis
• State the appropriate hypothesis test for each question and determine your critical scores for testing significance at .05
• Calculate your test statistic making sure you show your formulas
• Interpret your results using complete sentences indicating is significance was determined

Obedience School for Dogs is a small franchise that offers obedience classes for dogs. Some people think that larger dogs are easier to train and, therefore, should not be charged as much for the classes. To investigate this claim, dogs enrolled in the classes were classified as large (?? pounds or more) or small (under ?? pounds). The dogs were also classified by whether or not they passed the obedience class offered by the franchise. ??% of the dogs involved in the classes were large. ??% of the dogs passed the class. Records indicate that ??% of the dogs in the classes were small and passed the course.

(No scribbling/chicken scratch! Please show work)

1. A researcher at the Annenberg School of Communication is interested in studying the use of smartphones among young adults. She wants to know the average amount of time that college students in the United States hold a smartphone in their hand each day. The researcher obtains data for one day from a random sample of 25 college students (who own smartphones). She installs an app that registers whenever the smartphone is being held and the screen is on. The sample mean is 230 minutes, with a standard deviation of 11 minutes.

a) What is the 95% confidence interval for average daily time a smartphone is used among college students?

b) What value of t is used in the confidence interval?

c) What is the standard error?

d) What is the lower bound of the confidence interval and the upper bound of the confidence interval?

2. School administrators are concerned that important university emails are being automatically (and incorrectly) labeled as ‘spam’ by email providers. Independent random samples of ‘google mail’ and ‘yahoo.ca’ users are randomly selected. Out of the sample of google mail users (n=200), 150 reported that they had received the email. Out of the sample of yahoo.ca users (n=150), 90 reported that they had received the email. Is there a significant difference in receiving the email between users of google mail and yahoo.ca email providers?

2a. Calculate the test statistic.

2b. Find the p-value for the test. Test for a significant difference at the 1% significance level and state whether you reject or fail to reject the null (and why).

The GRE is a standardized test that students usually take before entering graduate school. According to a document, the scores on the verbal portion of the GRE have mean 150 points and standard deviation 8.75 points. Assuming that these scores are (approximately) normally distributed.

a. Obtain and interpret the quartiles.

b. Find and interpret the 99th percentile.

This has already been answered but one of the first steps includes .67 and I don't understand where .67 came from. My main question isn't so much find the answer, but go into more detail about where .67 comes from. Thank you!

A high school teacher hypothesizes a negative relationship between performance in exams and performance in presentations. To examine this, the teacher computes a correlation of -0.23 from a random sample of 29 students from class. What can the teacher conclude with α = 0.01?

a) Obtain/compute the appropriate values to make a decision about H₀.
(Hint: Make sure to write down the null and alternative hypotheses to help solve the problem.)
critical value =  ; test statistic =  
Decision:  ---Select one--- (Reject H0, Fail to reject H0)

b) Compute the corresponding effect size(s) and indicate magnitude(s).
If not appropriate, input and/or select "na" below.
effect size =  ;   ---Select one--- (na, trivial effect, small effect, medium effect, large effect)

c) Make an interpretation based on the results.

a. There is a significant positive relationship between performance in exams and performance in presentations.

b. There is a significant negative relationship between performance in exams and performance in presentations.

c. There is no significant relationship between performance in exams and performance in presentations.

A survey of MBA graduates of a business school obtained data on the first-year salary after graduation and years of work experience prior to obtaining their MBA. The data are given in excel.

1. Run the regression analysis (Include all options). Report the least squares regression line. Give the 95% confidence interval for the least squares estimate of the slope. Report the correlation coefficient. Interpret.  Report the coefficient of determination. Interpret. and  Use the ANOVA output and write out the hypothesis being tested, the test statistic, the critical value, p-value, and fully write out the conclusion.