Questions
1.    A researcher would like to know whether there is a consistent, predictable relationship between verbal...

1.    A researcher would like to know whether there is a consistent, predictable relationship between verbal skills and math skills for high school students. A sample of 200 students is obtained, and each student is given a standardized verbal test and a standardized math test. Based on the test results, students are classified as high or low for verbal skills and for math skills. The results are summarized in the following frequency distribution:  

                                                          Verbal Skills

                                   High                        Low

Math skills High Math

fo = 59

fe = _____

fo = 41

fe = ______-

Row total = _________
Low Math

fo = 31

fe = _____

fo =   69

fe = ______

Row total = ______
Column total =_______ Column total =_______ Total n = ______

Test at the .05 level of significance whether there is a significant relationship between verbal skills and math skills.

df = __________

Χ2 = ________

CV = _________

Is there a significant relationship between verbal skills and math skills? a. YES b. NO

Choose the best report:

a. There is a consistent predictable relationship between verbal skills and math skills for high school students, n = 200, df 1 X2 = 15.84.

b. There is a significant difference between verbal skills and math skills; X2 (2, n=200) = 15.84, p < .05.

c. There is a significant relationship between verbal and math skills X2 (1, n=200) = 15.84, p < .05.

d. We retain the null, that there is no relationship between verbal skill and math skills for high school students. The X2= 0.5 with a CV (1) = 3.841. There is no effect because we retained the null. But if you were to calculate it, it would be = 0.05.

e. While running a basic analysis test, it was found that there is significant relationship skills between verbal skills and math skills. With a X2 = 17.68 and utilizing 1 df, the cv = 3.841.

In: Statistics and Probability

CASE 4 Meron is a Health Extension Practitioner, who frequently goes to the local school to...

CASE 4 Meron is a Health Extension Practitioner, who frequently goes to the local school to conduct health education sessions. Whenever she goes to the school she carries her posters, leaflets, charts and other educational materials with her. After class she asks her students in a feedback session about how the session has gone. She is always happy with the feedback she is given.

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Question 1: One day Meron went to school to create awareness on sanitation, but on that day she did not carry her educational aids with her. At the end of the class the feedback from the students is not as good as previously.

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Question2: Assume that in one of the villages you are working in you observed more malaria cases than previously had occurred. You had gone to the area and observed that there is one place favourable for mosquitoes to breed. You now want to use health education to enable the community to destroy the mosquito breeding site. Who do you think you should talk to first about this problem?

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Question3: Why do you think that it is a good idea to include representatives of your target audience when you are planning your health education activities?

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Question4: Fatuma is a Health Extension Practitioner. While conducting a health education session on breastfeeding she said to her audience ‘I think HIV/AIDS might be transmitted from mother to child through breastfeeding’. What did you observe from the above scenario? How would you expect Fatuma to respond?

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Question5: Imagine that you are conducting a health education session in your local community. During your teaching you say ‘I think female genital mutilation (FGM) is harmful’ or ‘I think tobacco causes cancer’. What would be a better way of putting this?

In: Nursing

Question 1: (1 point) Identify the independent and dependent variables in each example below. Environmentalists have...

Question 1: (1 point)

Identify the independent and dependent variables in each example below.

Environmentalists have a theory that as smoke-stack and tailpipe emissions have increased over the past centuries, global warming has occurred.

An educational researcher is interested in effects of nutrition on school performance. She classifies students as breakfast eaters and non-breakfast eaters. She measures school performance by recording school attendance rate.

Question 2: (2points)

At what level of measurement is the following data and what type of graph can be used?

SAT scores of students collected from a sample of students in Berkeley College.

A meteorologist classifies cities in the US as having winter weather as dreary, not dreary.

A kindergarten teacher classifies students as readers, incipient readers, nonreaders.

A housing developer advertises his houses as being fully carpeted, partially carpeted or not carpeted

Question 3: (2 points)

The college registrar is asked to count the number of usable chairs in different classrooms at her university to determine how many students can be seated in each class. These are number of usable chairs in the different classrooms:

7, 12, 26, 18, 20, 33, 34, 17, 20, 35, 46, 50, 28, 29, 33, 18, 45, 53, 30, 37, 45, 58, 43, 42, 10, 34, 28, 35, 36, 50, 60, 55, 45, 52, 54, 28, 34, 25, 35, 40, 45, 44, 40, 23, 38, 39, 40, 50, 60, 45, 36, 28, 40, 54, 62, 44, 24, 28, 30, 60, 38, 58, 24.

At what level of measurement is this data & what type of graph is appropriate?

Make steam-and-leaf display

Describe modality & symmetry (skewness) of this data

In: Statistics and Probability

Consider a small economy composed of six people: Nick, Rosa, Tim, Alyssa, Crystal, and Brian. Each...

Consider a small economy composed of six people: Nick, Rosa, Tim, Alyssa, Crystal, and Brian. Each person's employment status is described in the following table.

Based on the criteria used by the Bureau of Labor Statistics (BLS), identify each person’s status as employed, unemployed, “not in the labor force” (if not in the civilian labor force but still part of the adult population), or “not in the adult population” if not in the civilian adult population.

Person Status
Nick is a 71-year-old professor. He teaches only one or two courses a year, but he's still pursuing an active research agenda. Not in the labor force
Rosa is a 29-year-old professional basketball player. She finished her last season as a player 3 weeks ago and is currently interviewing for a coaching position. Unemployed
Tim is a 44-year-old accountant who has been out of work for almost a year. He became so discouraged that he gave up on his job search a couple of months ago. Not in the labor force
Crystal is a 31-year-old science teacher who taught at West Valley Middle School last year. Due to budget cuts, she was laid off at the end of the school year. It's the summer now, and after a few weeks of vacation with her family, she is looking for a part-time job as a tutor. Unemployed
Brian is a 20-year-old American Studies major at the University of Tennessee. It's summer now, and he is working as a lifeguard in Mobile, Alabama. Employed
Alyssa is a 10-year-old student at East Valley Middle School. She babysits her younger brother and does other chores, so her parents give her an allowance of $20 per week. Not in the adult population

In: Economics

Problem 9-20 (Algo) Critique a Report; Prepare a Performance Report [LO9-1, LO9-2, LO9-3, LO9-4] TipTop Flight...

Problem 9-20 (Algo) Critique a Report; Prepare a Performance Report [LO9-1, LO9-2, LO9-3, LO9-4]

TipTop Flight School offers flying lessons at a small municipal airport. The school’s owner and manager has been attempting to evaluate performance and control costs using a variance report that compares the planning budget to actual results. A recent variance report appears below:

TipTop Flight School
Variance Report
For the Month Ended July 31
Actual
Results
Planning
Budget
Variances
Lessons 145 140
Revenue $ 33,110 $ 32,200 $ 910 F
Expenses:
Instructor wages 8,510 8,400 110 U
Aircraft depreciation 4,350 4,200 150 U
Fuel 2,470 1,960 510 U
Maintenance 2,010 1,900 110 U
Ground facility expenses 1,465 1,480 15 F
Administration 3,265 3,340 75 F
Total expense 22,070 21,280 790 U
Net operating income $ 11,040 $ 10,920 $ 120 F

After several months of using these reports, the owner has become frustrated. For example, she is quite confident that instructor wages were very tightly controlled in July, but the report shows an unfavorable variance.

The planning budget was developed using the following formulas, where q is the number of lessons sold:

Cost Formulas
Revenue $230q
Instructor wages $60q
Aircraft depreciation $30q
Fuel $14q
Maintenance $500 + $10q
Ground facility expenses $1,200 + $2q
Administration $3,200 + $1q

  
Required:

2. Complete the flexible budget performance report for the school for July. (Indicate the effect of each variance by selecting "F" for favorable, "U" for unfavorable, and "None" for no effect (i.e., zero variance). Input all amounts as positive values.)

In: Accounting

Assignment #3: Independent Samples T test Conduct an Independent Samples T test to answer the questions...

Assignment #3: Independent Samples T test Conduct an Independent Samples T test to answer the questions based on the following scenario. (Assume a non-directional research hypothesis (two-tailed test) and a level of significance of .05) The superintendent who collected data for Assignments 1 and 2, continued to examine the district’s data. One question that concerned the superintendent’s constituencies was the difference between the school performance scores of the superintendent’s district and a neighboring district that had similar demographic and socio-economic characteristics.

The superintendent collected the following information:

School performance scores for superintendent’s district: 72 70 70 71 68 74 66 80 71 74 68 74 74 70 76 67 65 59 72 81 82 83 68 78 80 69 75

School performance scores for comparison district: 71 62 62 71 65 74 61 60 67 63 62 71 66 62 61 71 66 68 72 65 71 86 71 89 67 73

1. What are the mean and standard deviation for the superintendent’s district? 2. What are the mean and standard deviation for the comparison district? 3. State an appropriate null hypothesis for this analysis. 4. What is the observed or computed value of t? 5. What is the value of the degrees of freedom that are reported in the output (equal variances assumed)? 6. What is the reported level of significance? 7. Based on the reported level of significance, would you reject the null hypothesis?

I MAINLY NEED HELP WITH NUMBER 8

***********************************************8. Present the results as they might appear in an article. This must include a table and narrative statement that reports and interprets the results of the Independent Samples T test.

In: Statistics and Probability

Problem 9-22 Critique a Report; Prepare a Performance Report [LO9-1, LO9-2, LO9-3, LO9-4, LO9-6] TipTop Flight...

Problem 9-22 Critique a Report; Prepare a Performance Report [LO9-1, LO9-2, LO9-3, LO9-4, LO9-6]

TipTop Flight School offers flying lessons at a small municipal airport. The school’s owner and manager has been attempting to evaluate performance and control costs using a variance report that compares the planning budget to actual results. A recent variance report appears below:

TipTop Flight School
Variance Report
For the Month Ended July 31
Actual
Results
Planning
Budget
Variances
Lessons 225 220
Revenue $ 60,400 $ 59,400 $ 1,000 F
Expenses:
Instructor wages 17,800 17,600 200 U
Aircraft depreciation 7,650 7,480 170 U
Fuel 4,340 3,740 600 U
Maintenance 3,650 3,450 200 U
Ground facility expenses 2,470 2,530 60 F
Administration 3,960 4,040 80 F
Total expense 39,870 38,840 1,030 U
Net operating income $ 20,530 $ 20,560 $ 30 F

After several months of using such variance reports, the owner has become frustrated. For example, she is quite confident that instructor wages were very tightly controlled in July, but the report shows an unfavorable variance.

The planning budget was developed using the following formulas, where q is the number of lessons sold:

Cost Formulas
Revenue $270q
Instructor wages $80q
Aircraft depreciation $34q
Fuel $17q
Maintenance $590 + $13q
Ground facility expenses $1,650 + $4q
Administration $3,380 + $3q

  
Required:

2. Complete the flexible budget performance report for the school for July. (Indicate the effect of each variance by selecting "F" for favorable, "U" for unfavorable, and "None" for no effect (i.e., zero variance). Input all amounts as positive values.)

In: Accounting

On July 1, 2019, the Morgan County School District received a $69,000 gift from a local...

On July 1, 2019, the Morgan County School District received a $69,000 gift from a local civic organization with the stipulation that, on June 30 of each year, $5,400 plus any interest earnings on the unspent principal be awarded as a college scholarship to the high school graduate with the highest academic average. A private-purpose trust fund, the Civic Scholarship Fund, was created.

  1. On July 1, 2019, the gift was received and immediately invested.
  2. On June 30, 2020, $5,400 of the principal was converted into cash. In addition, $4,400 of interest was received.
  3. On June 30, the $9,800 was awarded to a student who had maintained a 4.0 grade point average throughout each of her four years.
  4. The nominal accounts were closed.

Required:
a.
Record the above transactions on the books of the Civic Scholarship Fund.
b. Prepare a Statement of Changes in Fiduciary Net Position for the Civic Scholarship Fund for the year ended June 30, 2020.

Requirement 1:

On July 1, 2019, the gift was received and immediately invested. Record the entry for receipt of the cash gift.

On July 1, 2019, the gift was received and immediately invested. Record the entry for the investment of the cash gift.

On June 30, 2020, $5,400 of the principal was converted into cash. In addition, $4,400 of interest was received.

On June 30, the $9,800 was awarded to a student who had maintained a 4.0 grade point average throughout each of her four years.

The nominal accounts were closed.

Requirement 2:

Prepare a Statement of Changes in Fiduciary Net Position for the Civic Scholarship Fund for the year ended June 30, 2020.

MORGAN COUNTY SCHOOL DISTRICT
Statement of Changes in Fiduciary Net Position
Civic Scholarship Fund
For the Year Ended June 30, 2020
Additions:
Total Additions
Deductions:
Change in Fiduciary Net Position

In: Accounting

Calculate the predicted self-control score for a person living in a good neighborhood who is 18...

Calculate the predicted self-control score for a person living in a good neighborhood who is 18 years old, male, who scores a 12 on parental supervision, a 15 on parental responsiveness, a 10 on school socialization, and whose mother smoked during pregnancy.  Then, calculate the self-control score for a person living in a good neighborhood who is 21 years old, female, who scores an 8 on parental supervision, a 10 on parental responsiveness, a 6 on school socialization, and whose mother smoked during pregnancy.  If having low self-control is a significant predictor of delinquency, which individual (#1 or #2) would be more at risk of engaging in delinquency?

Table 1 below provides slopes, standard errors, and betas for several variables used to predict levels of self-control (higher scores = lower self-control) for respondents living in “good” and “bad” neighborhoods.

Table 1.  OLS Regression Predicting Low Self-Control Across Neighborhood Type

Good Neighborhoods

(n = 356)

Bad Neighborhoods

(n = 186)

Measure

B

SE

Beta

B

SE

Beta

Age (in Years)

-.215*

.094

-.117

.107

.160

.050

Sex (1 = Males)

.699**

.224

.160

.129

.361

.026

Race (1 = Whites)

.059

.261

.012

-.499

.382

-.101

Parental Supervision

(Higher = More Supervision)

-.277**

.023

-.063

-.026

.364

-.005

Parental Responsiveness

(Higher = More Responsive)

-.098**

.032

.161

.096

.058

.228

School Socialization

(Higher = More Socialization)

-.249**

.085

-.154

-.042

.112

-.027

Maternal Smoking

(1 = Smoked During Pregnancy)

.580*

.277

.109

1.02**

.388

.193

Constant

6.105

1.750

.460

2.620

R2

.313

.273

* p < .05; ** p < .01

Show work please!

In: Statistics and Probability

1. A researcher team reports that the elementary school students who were served orange juice during...

1. A researcher team reports that the elementary school students who were served orange juice during the science test had higher scores than the students who did not given orange juice. For this study, what is the independent variable?

  • A. the students who were not served orange juice.

  • B. the performance on the science test.

  • C. the students who were served orange juice.

  • D. whether or not orange juice was served.

2. A researcher team reports that the elementary school students who were served orange juice during the science test had higher scores than the students who did not given orange juice. For this study, what is the dependent variable?

  • A. whether or not orange juice was served.

  • B. the performance on the science test.

  • C. the students who were not served orange juice.

  • D. the students who were served orange juice.

3. A researcher wants to find out if there is a relationship between test anxiety and student’ test performance. He randomly selected a sample of n = 120 high school students. All students were given a brief questionnaire to assess their anxiety level before taking the test. The researcher recorded the anxiety score and the test score of each student. What statistical test should be used by the researcher to find out if there is a significant correlation between test anxiety and test performance?

  • A. Chi2 for Goodness of Fit.

  • B. One-factor Anova for independent samples

  • C. T-test for independent samples.

  • D. Chi2 for Independence.

  • E. Pearson correlation.

  • F. T-test for dependent samples.

4. What is evaluated by the Chi2 test for Independence?

  • A. The relationship between two nominal variables.

  • B. The difference between mean scores of two or more samples.

  • C. The differences in distribution of frequencies between categories of one nominal variable.

  • D. None of the above.

In: Statistics and Probability