sara is a 50-year-old woman who lives in a poor village in india. unfortunately, sara’s health ... Question: Sara is a 50-year-old woman who lives in a poor village in India. Unfortunately, Sara’s health ha... Sara is a 50-year-old woman who lives in a poor village in India. Unfortunately, Sara’s health has deteriorated in the last year. Her blood pressure and cholesterol are too high. She is sometimes short of breath. She has developed diabetes. She is currently dependent on a regular supply of insulin, which she picks up monthly at a government clinic. Although she is only 50, she has already suffered some of the circulatory complications of diabetes. Because of this, Sara had to spend the equivalent of $20 on health services and transportation, and missed 2 weeks of work, during which she lost another $20 of income. The total cost of this illness was about 10% of Sara’s annual earnings. There is a common perception that diabetes is a disease that affects only people in high-income countries. This, however, is not the case. Rather, the prevalence of diabetes is growing rapidly in low-income & middle-income countries. India now has the largest number of people with diabetes. The highest percentage of an adult population with the disease can be found here in which 31% of adults have diabetes. Identify the health determinants of the case study. Comment on the social, political and economic risk factors. Having identified these determinants, articulate what could be done in the short and long run to address them.

Practice Problems (Chapters 7 and 8)

Chapter 7       

1.         Which would you expect to be more variable: (a) the distribution of scores in a population or (b) the distribution of sample means based on random samples of 25 cases from this population. Explain.

2. Given a normal distribution of scores that has a mean of 50 and a standard deviation of 10, what is the probability of selecting a score that is greater than 65? If a random sample of 10 scores were selected from this population, what is the probability that the mean score for this sample would be greater than 65?

3. In a short paragraph, explain the logic of inferential statistics (The Hinkle et al. text refers to this as the chain of reasoning in inferential statistics).

4. What is the central limit theorem and what role does it play in inferential statistics?

Chapter 8       

5. Describe a study in which a one sample t-test is appropriate. Be sure to state your research question, hypotheses, significance level, critical value, etc.

6. List the steps in the hypothesis testing sequence.

7. In a short paragraph, explain Type I and Type II errors to an audience that has no previous experience with statistics.

8.         What is meant by statistical significance? Why does your author suggest that it may not always be adequate for purposes of research?

9.         Provide an example of the following: (a) A research problem appropriate for a non-directional test using the one-sample z-statistic. (b) A research problem appropriate for a directional test using the one-sample t-statistic.

10.       Consider the data in problem 11 in the text (page 199). Enter these data into SPSS and conduct a test of the null hypothesis.

The patient came to your exercise sessions 80% of the time during the 8 week period. Since she only needed to comply by 70%, she was granted the lap band surgery. After 12 weeks, she has lost 50 pounds and has eliminated her insulin and cholesterol medications but is still on the hypertension meds. Her knees also are starting to feel better. You meet with this person post-surgery for an exercise assessment and the post surgery program. This time, she is very resistant to your exercise advice. In fact, she has no interest in participating in your exercise program anymore.

What might this patient need to progress to the action stage? To answer this, describe how you would approach the patient through each stage leading to ACTION.

pH Dependence of Drug Absorption lab

1. Calculate the amount of Na₂HPO_{4 *} 7H₂O ( in grams) needed to make 50 mL of a 0.40 M solution.

2. Calculate the amounts of Na₂HPO₄ and NaH₂PO₄ (in grams) needed to prepare 200 mL of a buffer with pH=8.25 so that the sum of concentrations of HPO₄^2- and H₂PO₄^- ions is 0.5 M. pK_a1=2.12, pK_a2=7.21, pK_a3= 12.38

* on this problem I think you use the Henderson-Hasselbalch equation, but after that I'm lost.

3. Write the equation for the ionization of 3-aminophenol. Would this substance be more soulble in water at pH=2 or pH= 8? Would you expect this substance to be absorbed into the blood stream in the stomach or the instestines?

4. How does the initensity of the spot on the silica sheet relate to the solubility of the drug in the aqueous phase?

Please explain the the problems!!

A community is currently being served a single self-serve gas station with six pumps. A competitor is opening a new facility with 12 pumps across town. The table below shows the travel times in minutes from the four different areas in the community to the sites and the number of customers in each area.

(a) Using the Huff retail location model and if λ = 2, calculate the probability of a customer traveling from each area to each site.

(b) Estimate the proportion of the existing market lost to the new competitor.

Travel Times to Gas Stations (in minutes)

1. A wine company wanted to examine how Big-5 Personality Traits (openness to experience, agreeableness, conscientiousness, neuroticism, and extraversion) are related to salespersons’ performance. The company measured salespersons’ personality traits using 5-point Likert scales (e.g., 1-5) with higher values representing higher levels of the personality traits. The company used the number of bottles of wine sold in the last three months as a performance measure.

1. Independence Chi-square test
2. Correlation
3. One-way ANOVA
4. Multiple regression

1. The National Youth in Transition Database (NYTD) is a federally-mandated evaluation of the use of independent living services by foster youth in Wisconsin. University of Wisconsin conducted a baseline survey of youth in foster care at age 17 as well as a follow-up survey with these youth at age 21. In both surveys, participants were asked to indicate to what extent they valued diversity and inclusion (1 = not important at all, 5 = very important). A researcher identified the participants who attended colleges as a sample and examined whether their values on diversity and inclusion changed after attending colleges.

1. One-way ANOVA
2. Two paired sample mean comparison
3. Two-way ANOVA
4. Two independent sample mean comparison

1. The College of Business conducted a survey to investigate faculty members’ perceptions of diversity and inclusion. The participants were asked to indicated to what extent they were satisfied with the current diversity climate (1 = very dissatisfied, 5 = very satisfied). After collecting the data, the Dean wanted to know whether the diversity climate perceptions differed across five departments (Finance, Accounting, Marketing, Operations Management, and Management and Human Resources) and two types of faculty members (research faculty and teaching faculty).

1. Independence Chi-square test
2. One-way ANOVA
3. Two-way ANOVA
4. Two independent sample mean comparison

1. A consulting company used 115 engagement managers as a sample to examine whether participating in a leadership training program (0=non-participant 1= participant) was related to the promotion results (0= not promoted 1=promoted).

1. Independence Chi-square test
2. Two paired sample mean comparison
3. Two-way ANOVA
4. Simple regression

1. According to the October 2010 issue of Harvard Business Review, Best Buy has proven by holding other factors constant the value of a 0.1% increase in employee engagement at a particular store is $100K. This led Best Buy to hold employee engagement surveys on a quarterly basis as compared to annually. What method do you think Best Buy has used to help draw the conclusion?

1. Independence Chi-square test
2. One-way ANOVA
3. Regression
4. Correlation

1. As required by the Dodd-Frank financial reform act, publicly traded U.S. companies have started to disclose how the pay of their CEOs compares to the compensation of their median employees (the so-called "pay ratio"). A researcher collected the CEO-employee pay ratio data of 1,000 companies and wanted to examine whether the pay ratio was different across industries (e.g., finance, manufacturing, service, high-tech, etc.)

1. Two independent sample mean comparison
2. Two paired sample mean comparison
3. Two-way ANOVA
4. One-way ANOVA

1. A recent study examined whether using self-reflective job titles (e.g., Goddess of Greetings for an administrative assistant) can help reduce emotional exhaustion. The researchers conducted a field experiment to examine this research question. They first randomly assigned participants into a treatment group and a control group. The researchers gave a 30-minute intervention to teach participants in the treatment group how to create self-reflective job titles but not those in the control group. A month later, the researchers measured the emotional exhaustion of participants (on a Likert scale ranging from 1 to 7) in both groups and examined whether there was any mean difference in emotional exhaustion between the two groups.

1. Two independent sample mean comparison
2. Two paired sample mean comparison
3. Two-way ANOVA
4. Correlation

1. Nielsen is considered an exemplar company using data analytics to make people management decision making. To predict future attrition, Nielsen built a model with 20 employee variables like age, gender, tenure and manager rating (in scores) and used those variables to predict employees’ turnover intention (on a Likert scale 1 = very likely to quit, 5 = very likely to stay).

1. Simple regression
2. One-way ANOVA
3. Multiple regression
4. Correlation

1. A company used a job evaluation system to rate the values of 50 benchmarking job positions (in points). The company also collected the median market salary for each of the job positions. Eventually, the company wanted to establish a linear equation to predict how much should be paid to a job based on its value.

1. Independence Chi-square test
2. One-way ANOVA
3. Simple regression
4. Correlation

1. A research team measured a sample of employees’ preference for work-life balance (on a Likert scale ranging from 1 = not preferable at all to 5 = very preferable) and examined whether there was a generation difference in work-life balance preference (e.g., Gen Z, Millennials, Gen X, and Baby Boomers).

1. Independence Chi-square test
2. Two paired sample mean comparison
3. Two-way ANOVA
4. One-way ANOVA

The probability is0.45 that a traffic fatality involves an intoxicated or​ alcohol-impaired driver or nonoccupant. In

seven traffic​ fatalities, find the probability that the​ number, Y, which involve an intoxicated or​ alcohol-impaired driver or nonoccupant is

a. exactly​ three; at least​ three; at most three.

b. between two and four​, inclusive.

c. Find and interpret the mean of the random variable Y.

d. Obtain the standard deviation of Y.

1. Which of the following is a valid alternative hypothesis for a one-sided hypothesis test about a population proportion p?

3. Nestlé is a manufacturer of dairy products. His administration conducted an analysis of the chocolate division. As part of this analysis, it has been determined that personal income, sales prices and advertising expenses are the three main variables that affect the demand for chocolates. It has been estimated that the income arc elasticity for chocolates is 1.5 and that the arc price elasticity of demand is -2.0, as well as the arc elasticity of advertising is .8

a) Using these elasticities and the data below, calculate the missing sales:

Year Income Price Advertising Sales
2016 $ 1000 $ 400 $ 120 850
2017 $ 1100 $ 400 $ 130
2018 $ 1100 $ 450 $ 140

b) The company also has information that reveals that a competitor plans to reduce the price of its chocolates from $ 500 to $ 381 a box by 2017. The marketing department has estimated that the cross elasticity between the two companies is 0.3. How will the quantity react? Nestlé defendant? (calculate)

1) Compared the lengths of the different Harry Potter movies and the Star Wars movies. Each series has 8 main movies that I will compare the lengths of. I will be testing my hypothesis that Harry Potter movies are longer than Star Wars movies.

The Harry Potter lengths in minutes are: 152, 161, 142, 157, 139, 153, 146, 130

The Star Wars lengths in minutes are: 133, 142, 140, 121, 124, 131, 138, 152

also:

2) The proportion of adults in Tennessee who are gamers is more than the proportion of adults in New York who are movie go-ers. In two independent polls, you may find that 69 out of 340 California residents are gamers and 59 out of 225 New York residents are movie go-ers.

Is there enough evidence to conclude that Tennessee residents game more than New York residents watch movies at the 0.8 significance level?