Weight gain during pregnancy. In 2004, the state of North Carolina released to the public a large data set containing information on births recorded in this state. This data set has been of interest to medical researchers who are studying the relationship between habits and practices of expectant mothers and the birth of their children. The following histograms show the distributions of weight gain during pregnancy by 855 younger moms (less than 35 years old) and 136 mature moms (35 years old and over) who have been randomly sampled from this large data set. The average weight gain of younger moms is 30.87 pounds, with a standard deviation of 14.32 pounds, and the average weight gain of mature moms is 29.32 pounds, with a standard deviation of 13.43 pounds. Do these data provide strong evidence that there is a significant difference between the two population means? Conduct a hypothesis test. Round all numeric answers to 4 decimal places.

1. Which set of hypotheses should the researcher use?
A. ?0H0: ?1−?2=0p1−p2=0, ??HA: ?1−?2≠0p1−p2≠0
B. ?0H0: ?1−?2=0μ1−μ2=0, ??HA: ?1−?2>0μ1−μ2>0
C. ?0H0: ?1−?2=0μ1−μ2=0, ??HA: ?1−?2≠0μ1−μ2≠0
D. ?0H0: ?1−?2=0p1−p2=0, ??HA: ?1−?2<0p1−p2<0

2. Calculate the test statistic. t =

3. Calculate the p-value for this hypothesis test.
p value =

4. Suppose that a researcher today decides to replicate this study. Using the information from the 2004 study, they calculate an effect size of 0.11. Next, they obtain a new sample of 124 younger moms and a new sample of 86 mature moms and, using their new sample data, conduct the same hypothesis test. They calculate a p-value of 0.266 and an effect size of 0.096. Does their new study confirm or conflict with the study from 2004?
A. The researcher cannot make a comparison because the sample sizes are not the same.
B. It confirms the 2004 study because the effect sizes are nearly the same.
C. It contradicts the 2004 study because the effect sizes are not exactly the same.
D. It contradicts the 2004 study because the p-value is larger.
E. It confirms the 2004 study because the sample of moms from today is independent of the sample of moms from 2004.

10. The data below shows the high temperatures and the times​ (in minutes) runners who won a marathon. Construct a​ scatterplot, find the value of the linear correlation coefficient​ r, and find the​ P-value using a=0.05. Is there sufficient evidence to conclude that there is a linear correlation between temperature and winning​ times?

Temperature_(x)             Time_(y)

56           148.824

60           145.072

45           144.768

63           148.851

70           148.546

74           148.019

52           147.065

57           146.845

What are the null and alternative​ hypotheses?

Construct the scatterplot.

The linear correlation coefficient r is _____

(Round to three decimal places as​ needed.)

The test statistic t is _____

(Round to three decimal places as​ needed.)

The​ P-value is ______

(Round to three decimal places as​ needed.)

Because the​ P-value is (Less/greater) than the significance level 0.05​, there (is not/ is) sufficient evidence to support the claim that there is a linear correlation between between temperature and winning times for a significance level of alphaequals0.05.

Does it appear that winning times are affected by​ temperature?

No​, because there is not a linear correlation between the two variables.

Yes​, because there is a linear correlation between the two variables.

Yes​, because there is not a linear correlation between the two variables.

No​, because there is a linear correlation between the two variables.

Read chapters 7&8 of your textbook and respond to the following questions. Briefly discuss restricted view of human reason, incomplete understanding of knowledge acquisition and inadequate link between theory & practice as three criticisms of the rational model(P.170-176). What does the new public service draw its inspiration from? How do citizenship and community contribute to restoring democratic citizenship and establishing a new public service?(P.198-200)

Think about the three smartest people you know. Who are they? In what ways are they smart? What do they do that sets them apart in intelligence?

STEP 2: Write a response between 1-2 pages explaining:

why these people are smart

based on your readings, what psychological principles contribute to their intelligence

if they born that way

which type of intelligence Gardner would say they possess the most

if they are also creative and if they have high emotional intelligence

The ISO 9000 series of quality management systems standard has been widely applied all over the world since its introduction in 1987. By the end of 2013, ISO 9000 had been adopted by over 1,129,000 facilities in 189 countries. Both academics and practitioners are interested in understanding the relationship between adoption of ISO 9000, and other factors (Christmann & Taylor, 2006; Du, Yin, & Zhang, 2016; Fikru, 2014a, 2014b, 2016; Nakamura, Takahashi, & Vertinsky, 2001; Pekovic, 2010; Wu, Chu, & Liu, 2007).

In 2008, the National Bureau of Statistics of China conducted an Economic Census of the service firms. The descriptions of variables, the coding are shown in the table. The data is available in Moodle.

Table: Variables, their descriptions and coding

Required Task

You are expected to work in groups and write a research report. When you work on your report, you need to use the dataset, and other sources such as journal articles. If you use website material, please pay attention to the quality of the material (e.g. government website or industry website etc.). There is no word limit for the report. For the number of references, there should be at least ten academic sources (journal articles, or books). It is encouraged to use more relevant, high quality, and up to date sources in the report.

Students have a high degree of flexibility in doing the research. The important thing is that the research should be well connected with the literature.   

The required structure should be as following.

1. Executive Summary: Major findings and major recommendations
2. Introduction: Background (of the case); purpose (of this report); two to three research objectives for a study that you would seek to conduct; and format (of this report).
3. Write a short literature review of at least ten academic sources relevant to your topic. Any source including books, journal articles are acceptable, as long as they are relevant. You can also use a particular website for some information. If websites are used they will be in addition of the ten academic sources.
4. Describe the methodology and justify your choice.
5. Analyses and findings: Run some analysis to turn the data into useful information as follows:

1. Descriptive statistics: Sample characteristics will be described with descriptive analysis. This will include at least the following analysis: Frequency, percentage; Measures of central tendency; Measures of dispersion (variance, standard deviation)
2. Inferential statistics: Inferential statistics will be used to analyse relationship between variables. This will include at least the following analysis (Chi-square, Pearson’s r, t-test, ANOVA test).

6. Discussion and managerial advises: link your findings to extant literature. Advise the management about the usefulness of the findings.
7. Limitations and directions for future research. Suggestions of how the research can be improved.
8. Include a correctly constructed reference list of all sources used in the project, not just those used in the literature review section. Appendices also should be attached which will include all the analysis and graphs etc. that are not included in the body of the report.

Cost Flow Methods

The following three identical units of Item PX2T are purchased during April:

Assume that one unit is sold on April 27 for $91. Determine the gross profit for April and ending inventory on April 30 using the (a) first-in, first-out (FIFO); (b) last-in, first-out (LIFO); and (c) weighted average cost method.

Lower-of-Cost-or-Market Method

On the basis of the following data, determine the value of the inventory at the lower-of-cost-or-market by applying lower-of-cost-or-market to each inventory item, as shown in Exhibit 10.

$ ANSWER HERE

The following frequency distribution shows the number of customers who had an oil change at a particular Jiffy Lube franchise for the past 40 days.

Use this data to construct a relative frequency and cumulative relative frequency distribution. Report all of your answers in the table above to 3 decimal places, using conventional rounding rules.

What percent of the days are there less than 45 customers who had an oil change at this Jiffy Lube? Report your final answer to 2 decimal places, using conventional rounding rules.

ANSWER:          %

What proportion of the days were there 65 – 74 customers at this Jiffy Lube for an oil change? Report your final answer to 4 decimal places, using conventional rounding rules.

ANSWER:         

What percent of the days were there at least 55 customers at this Jiffy Lube for an oil change? Report your final answer to 2 decimal places, using conventional rounding rules.

ANSWER:          %

What is the approximate mean number of customers at this Jiffy Lube for an oil change? Report your final answer to 2 decimal places, using conventional rounding rules.

ANSWER:         

What is the approximate standard deviation of the number of customers at this Jiffy Lube for an oil change? Report your final answer to 2 decimal places, using conventional rounding rules.

ANSWER:         

What is the midpoint of the class interval with the largest frequency? Report your final answer to 2 decimal places, using conventional rounding rules.

ANSWER:         

In Case 15, GoPro’s Struggle for Survival in 2016, the following is mention:

As GoPro moved into 2015, it appeared to be the poster child for American entrepreneurial success, going from a humble beginning as a homemade camera tether and plastic case vendor in 2004, to an action camera vendor with $350,000 in sales in 2005 (its first full year of operation), to revenue of $1.6 billion in 2015. The company had gone public in June, 2014, and at its peak in October, 2014, GoPro stock traded at over $98.00. In 2014, GoPro was ranked #1 most popular brand on YouTube with more than 640 million views, and an average of 845 thousand views daily. In 2015, the average daily views were up to 1.01 million. Abruptly, in the third quarter of 2015, GoPro’s magic disappeared. Fourth quarter, 2015 revenue dropped by 31 percent from the prior year, and net income (loss) fell by 128 percent to a net loss of $34.5 million. By the end of December, 2015, the stock traded at less than $20.00. GoPro’s sales continued to slip in 2016. The newly introduced HERO4 camera performed poorly, and the company cut its price by half and reduced its product line to three cameras. The Karma camera drone, set for release in the first half of 2016, was inexplicably pushed back to winter, and there was no date for release of the HERO5 action camera. After the first quarter 2016 results were released, GoPro’s stock dropped below $9.00. According to Investor Place (28 March, 2016), GoPro had “essentially erased its once coveted title of Wall Street’s darling and is now loathed by Wall Street.”

What is your assessment of GoPro’s business model and competitive strategy? Does its approach to deliver customer value contribute to a sustainable competitive advantage?

One of the competitive strategies to consider is whether to be a “first-mover,” “first-follower,” or “slow-mover.” Which strategy do you believe Go-Pro has embraced? Is your chosen strategy the right course of action for Go-pro all of the time? Please explain