Use SPSS for this Application Exercise:
School psychologists hypothesize that more negative externalizing behaviors are related to more anxiety (e.g., causing fights). The table below contains the response from a sample of middle school students. What can the psychologist conclude with an α of 0.05?

a) What is the appropriate statistic?
---Select--- na Correlation Slope Chi-Square
Compute the statistic selected in a):  

b) Input the appropriate value(s) to make a decision about H₀.
(Hint: Make sure to write down the null and alternative hypotheses to help solve the problem.)
p-value =  ; Decision:  ---Select--- Reject H0 Fail to reject H0

c) Using the SPSS results, compute the corresponding effect size(s) and indicate magnitude(s).
If not appropriate, input and/or select "na" below.
effect size =  ;    ---Select--- na trivial effect small effect medium effect large effect

d) Make an interpretation based on the results.

There is a significant positive relationship between negative externalizing behaviors and anxiety.

There is a significant negative relationship between negative externalizing behaviors and anxiety.     

There is no significant relationship between negative externalizing behaviors and anxiety.

1. You work for the Colorado Chapter of the Mutual UFO Network (MUFON) that is responsible for compiling all UFO sightings in the US. You are interested in whether there is a difference between rural and urban people in the mean number of UFOs they have ever seen. You randomly sample 200 urban and 150 rural Coloradoans and ask how many UFOs they’ve seen. Of the urbanites, the mean number of UFOs is 1.3 UFOs with a standard deviation of .4. Of the rural folks, the mean number of UFOs is 1.5 UFOs with a standard deviation of .6.

Do a two-sample hypothesis test (alpha=.05) to determine whether you can claim that there is a difference urban and rural Coloradoans in the mean number of UFOs ever seen. You must show all steps and all calculations.

2. You are interested in studying the relationship between believing in aliens and believing in God. You randomly sample 400 Coloradoans and ask them whether they believe in aliens and whether they believe in God. Of the 290 people who believe in God, 83 said they believed in aliens. Of the 110 people who do not believe in God, 27 said they believe in aliens.

Do a two-sample hypothesis test (alpha=.05) to determine whether there’s a difference between those who believe in God and those who don’t in the percent who believe in aliens. Show all steps of the hypothesis test and all calculations.

While attempting to measure its risk exposure for the upcoming year, an insurance company notices a trend between the age of a customer and the number of claims per year. It appears that the number of claims keep going up as customers age. After performing a regression, they find that the relationship is (claims per year) = 0.245*(age) + 8.873. If a customer is 45 years old, how many claims would you expect them to make in a given year?

Question 7 options:

You manage a farm that is looking to sell oranges in both California and Oregon. The demand for oranges in California is given by PCA = 25 - 0.5QCA and the demand for oranges in Oregon is POR = 19 - 0.3QOR. The total cost of selling oranges is TC = 10 + Q and the marginal cost is constant at MC = $1. If you cannot differentiate between customers in California and Oregon, and you are forced to charge the price that is optimal in California in both Oregon and California, how much profit will you lose compared to the profit you made in (2)? (Write answer without the negative sign nor the dollar sign.)

I tried $40 and it was incorrect

Taking a recent purchase as an example, write an essay to discuss the supply network of your product from raw material until it arrives to the consumer. You are required to cover the following points in your essay/presentation:

Company overview, product overview, major competitors.

Stages of the product supply chain or network design, location of raw material in relation to the manufacturer, distributor, retailer and consumer, etc.

The relationship between suppliers and customers (first tier, second tier, etc.., horizontal or vertical integration (if any), levels of inventory and where it’s held.

Explanation of any problems and suggestions for further improvements of the supply chain

Read the situation below and answer the questions given:

Dell is trying to promote its range of laptops to Ahmad. The main objective of Dell is to produce low price and profitable PCs for the customers. Dell products are so customisable, the price is largely dependent on the options and services added to the product. That means, the more features Ahmad wants for his laptop, the more he will have to pay.

Based on the marketing situation above, answer the following questions:

1. Is this company using Value-Based Pricing or Cost-Based Pricing? Explain how you made the distinction.

2. Describe the major differences between Value-Based Pricing and Cost-Based Pricing.

Suppose you are just starting your retirement savings at age 25, and plan to retire at age 70. Your goal is to save a million dollars in your IRA and you believe you can earn a 7% rate of return on your investment. How much must you contribute to your IRA each year to meet your goal?

Select one:

a. $22,222

b. $3,500

c. $619

d. $21,881

Example of a Long-Term Goal: Beginning January 2020, contribute $600 per month (2,000 per year) to my Roth IRA for 40 years earning a rate of 8% per year for an ending balance of $518,113 on December 31, 2060. (This example used a time value of money calculation of N = 40, PMT = 2000, I = 8%)

Based upon this example, create two other long term goals.

• Discuss the issue of physician shortage in America. Since half of all medical school first year students are women, how would that fact contribute further to a physician shortage in the future? How would a physician shortage be overcome in the health care delivery system? What is the impact or burden on current physician staffing levels given the estimated 30 million additional people being added to a government mandated insurance plan?

Time intervals measured with a stopwatch typically have an uncertainty of about 0.2 seconds due to human reaction time. How does this compare to the uncertainties of individual measurements above? Can human reaction time fully account for these uncertainties? If not, what other factors may contribute to the uncertainty of individual measurements (provide at least one)?

Also, What are the fundamental differences in the uncertainty of individual measurements vs uncertainty of mean of measurements