if the mean=m,variance= v, observed value=o

we have four groups, g1 age 18-28,the observed resposibility of accident=127,m=0.809,v=0.848

for the same group the observed (not responsible) of accidents=192,m=1.22,v=1.849

group2 age 29-39 years ,o=155(responsible),m=0.5961,v=0.838

same group o=397 (not responsible),m=1.5269,v1.8336

group 3 age 40-50 o=127(responsible),m=0.635,v=0.841

same group o=277(not responsible),m=1.385,v=1.835

group 4 age >=51 ,o=54(responsible),m=0.446,v=0.849

same group o=54(not responsible),m=1.628,v=1.856

1-for the data shown which type of test we must use and why

2- using the test find the expected value for all responsible and not responsible accidents participations

3-if the test used is kai square find using (ovserved-expected)^2/expexted for all the data groups( resposible and not)

4- give an explanation or interpret the statistical test results for the significant values after finding p-value for the test

1. A priority queue is a special queue that adjusts the location of items based on some priority value. When inserted, a new value is placed in the queue ahead of every other item that has a lower priority than it. This gives us a queue that removes items from the front removing highest priority first, and from items with similar priority the ones that were inserted first. For example, if we inserted the following items with the priority {A, 1}, {B,2}, {C,2}, {D,3}, {E,1} where the lower number is a lower priority, our queue will have the items from front to back: D,B,C,A,E. Using the partial code below, you are to implement the Enqueue method so that the new node is inserted into the appropriate place in the queue based on the priority. (Assume that a higher number is higher priority, for example 0 is lowest and 10 is highest)

class Node<V,P>

{

      public V value;

      public P priority;

      public Node<V,P> next;

      Node(V value, P priority)

      {

           this.value = value;

           this.priority = priority;

      }

}

class PriorityQueue<V,P>

{

      private Node<V,P> head;

      private Node<V,P> tail;

      ...

      public void Enqueue(V value, P priority)

      {

2. I stand outside the student union and conduct a poll of passing students about their favorite fast food place. There are 6 response options = McDonald's, Wendy's, Burger King, Taco Bell, Popeye's, and Arby's. I also collect the student's year in school for demographic purposes - 5 levels - First Year, Sophomore, Junior, Senior, and Grad Student. I build a two-way table of this data to prepare to conduct a Chi-square analysis. How many degrees of freedom would my analysis have?

Group of answer choices:

6

35

20

5

1

3. The expected values for a Chi-Square Test of Independence come from:

Group of answer choices:

the population values

the marginals

a chi-square table

4. I conduct the Chi-Square test of independence for my Fast Food poll and obtain an observed Chi-square value of 22.55. The chisq-test() in R also reports a p-value of 0.3114. How do I interpret this result if my alpha is 0.05?

Group of answer choices

I fail to reject the null hypothesis and therefore determine that there is a significant association between fast food preference and class year.

I fail to reject the null hypothesis and therefore conclude that there is no association between class year and favorite fast food restaurant.

I reject the null hypothesis and conclude that there is a significant association between fast food preference and class year.

I reject the null hypothesis and conclude that there is no association between the variables fast food preference and class year.

5. My student union poll included another question regarding the preference for different dog breeds. I find a significant association between preferred dog breeds and gender of the students. I calculate a Cramer's V test and get a result of 0.05. What conclusion would I make about this result?

Group of answer choices:

The Cramer's V score disproves our statistical significant finding.

The Cramer's V value further proves that the result is significant.

The result was statistically significant, but not substantively significant.

6. I decide to conduct another poll outside the student union, and I want to ensure that my poll will have a low probability of Type II error and will be able to detect a difference with a large effect size. I run the following code:

pwr.chisq.test(w = 0.3, N=NULL, df = 20, sig.level = 0.05, power = 0.8)

I get the following output in R:

Chi squared power calculation

w = 0.3
N = 232.8977
df = 20
sig.level = 0.05
power = 0.8

What does this output tell me about how I need to design my next poll.

Group of answer choices

My new poll needs a power of 0.8 to have an effect size of 0.3.

A sample size of 230 should be sufficient for my poll.

Since I set my sample size at 233 I will achieve a power of 0.8.

I need a sample size of 233 students to obtain a result with the power I desire to have in my analysis.

7. The area under the curve of a normal distribution is equal to:

Group of answer choices

the mean of the distribution

a probability of 1.0

the standard deviation of the distribution.

the z-score

8. In my student union poll I asked students what they scored on the SAT. I know that the mean score of the UMD population is 1340 with a standard deviation of 222. My friend wants to know how her score of 1280 stacks up to the distribution of all scores at UMD.

What is her z-score?

Group of answer choices

-0.53

-1

0.27

-0.27

9. Another friend asked me to calculate his z-score so he could see how he compared to the distribution of SAT scores among UMD students. I found that his z-score was 0.33. What is the interpretation of his z-score?

Group of answer choices

He scored 3 SDs higher than the mean.

He scored better than 33% of students at UMD.

His SAT score shows he was 1/3 of an SD above the mean score.

He did worse than 33% of students at UMD.

10. We have more fitness test data from Vitor (who is male) and Manuela (who is female), who are applying to a military academy. Vitor did 50 push-ups in a minute, while Manuela only did 45.

We know that among previous applicants to the academy, the distribution of number of sit-ups is as follows:

Males have a mean of 60 and a standard deviation of 6.5.

Females have a mean of 40 and a standard deviation of 4.3.

What is the z-score for Manuela's result on the test?

Group of answer choices

1.16

1.69

-0.92

3.49

11. Vitor did 50 push-ups in a minute, while Manuela only did 45.

We know that among previous applicants to the academy, the distribution of number of sit-ups is as follows:

Males have a mean of 60 and a standard deviation of 6.5.

Females have a mean of 40 and a standard deviation of 4.3.

What is the z-score for Vitor's result on the test?

Group of answer choices:

0

2.33

-1.16

-1.54

12. Vitor did 50 push-ups in a minute, while Manuela only did 45.

We know that among previous applicants to the academy, the distribution of number of sit-ups is as follows:

Males have a mean of 60 and a standard deviation of 6.5.

Females have a mean of 40 and a standard deviation of 4.3.

Relative to their gender, who did better on the push-up test, Vitor or Manuela?

Group of answer choices:

Manuela

Vitor

Question 1: Short Theory Questions

1. Define research design in your own words.
2. What expectations do marketing decision-makers have of research designs?
3. How does the subject of enquiry as seen by potential research respondents affect research design? Explain with suitable examples.
4. How does formulating a research design differ from developing an approach to a problem?
5. Describe how quantitative techniques may be used in exploratory research. Explain with example.
6. What are the major purposes for which descriptive research is conducted?
7. Describe cohort analysis. Why is it of special interest?
8. What is a causal research design? What is its purpose? Explain with examples
9. What is the relationship between exploratory, descriptive and causal research? Give example for each research.
10. Why is it important to minimize total error rather than any particular source of error?

The marketing manager of a national brand of flavored milk is considering her micro and macro environment in order to complete the situation analysis for this years marketing plan.

She notes some key points. Small traders are not consistently affording appropriate fridge space to flavored milks. Energy drinks are continuing to hold favour in the teen market. Young adults aged 18-25 are more conservative than their slightly older cohort 25-35. UHT or long life milk has processed to the point where taste tests show little noticeable difference. Having long life milk means the product can stay longer in the fridge before having it replaced. The main benefit of this is to the firm which can reduce production and distribution costs. This benefit has been derived through which macro environmental factor?                                                                                          

In your own words define and explain “marketing concept” and the “4P’s.” Provide an example of a company that uses one or both approaches.
• Define “marketing” and “sales” and explain how they are different from one another. How are they dependent upon one another?
• Does “marketing” have a function in church operations? Explain and support your answer.

Generational trends lead to distinctly different attitudes, values, and behavioral patterns that must be considered when developing a market plan.

• Identify the “generational cohorts” according to our text, and explain their differences in values and motivational factors.
• Identify an advertisement or commercial that targets only one of the generational groups. Describe the promotion in detail and identify the intended group.

Explain how the Scripture verse “Jesus Christ is the same yesterday and today and forever” (Heb. 13.8) relates to the “generational cohort” discussion in the above exercise.

Q 1. PLEASE answer all question because these only one question..... Thanks alot

1. What expectations do marketing decision-makers have of research designs?
2. How does the subject of enquiry as seen by potential research respondents affect research design? Explain with suitable examples.
3. How does formulating a research design differ from developing an approach to a problem?
4. Describe how quantitative techniques may be used in exploratory research. Explain with example.
5. What are the major purposes for which descriptive research is conducted?
6. Describe cohort analysis. Why is it of special interest?
7. What is a causal research design? What is its purpose? Explain with examples
8. What is the relationship between exploratory, descriptive and causal research? Give example for each research.
9. Why is it important to minimize total error rather than any particular source of error?

In a study concerning the relationship between the use of exogenous estrogens and subsequent risk of breast cancer, a sample of 1000 pre-menopausal women was followed for 8 years. The results are presented in the table below.

1.What kind of study is this?

1. cross-sectional
2. ecological
3. case-control
4. cohort

2.Is this study prospective or retrospective?

1. prospective
2. retrospective
3. none of these

3.The cumulative incidence of breast cancer among women receiving estrogen therapy is:

1. 0.2
2. 0.3
3. 0.4
4. 0.6
5. 0.8

4.The cumulative incidence of breast cancer among women who did not receive estrogen therapy is:

1. 0.05
2. 0.2
3. 0.4
4. 0.6
5. 0.8

5.The relative risk associated with estrogen therapy in this study is:

1. 0.25
2. 0.33
3. 0.5
4. 2
5. 3

Logic problems:

1. The argument “ All A are B. Some B are not C. // Some C are not A.” is of the form expressed in figure one.

A. True

B. False

2.Assume the Aristotelian Perspective, if the sentence “Some carrots are not tasty” is true, then what is the truth value of  the following sentence " Some carrots are tasty. "

A. true

B. false

C. undetermined

D. none of the above

3. Which is the converse of the following sentence "No students at Miami are students at John Tyler"?

A. All students at Miami are students at John Tyler.