You are a business consultant at a small consulting firm in Sydney Australia. A client Ben McDonald from office supplies retailer “Office Storeroom” has contacted you to ask for your help. Ben is the newly appointed sales manager at Office Storeroom. You arrange a meeting with Ben at a local coffee shop. During the meeting Ben explains that Office Storeroom is the longest running office supplies company in Australia, having started business in 1973. They pride themselves on providing the most affordable office supplies available. They sell office supplies to businesses and personal shoppers.

They have 15 retail outlets across Australia, one store in each of the major cities and a few in some of the larger regional areas. Office supplies are also sold online, via the Office Storeroom website. Interestingly, despite limited investment in online website and logistics, almost 65% of their business is now online. Online sales have significantly increased since Office Storeroom went online in 2013. However, during the same time-frame sales at retail outlets have declined.

Overall, sales at Office Storeroom have been declining for the past 3 years. Sales figures for the past 5 years are shown in the table below.

Table 1: Sales Figures

As the new head of sales (Ben joined in year 2017) at Office Storeroom, Ben is responsible for improving the sales of office supplies. During the meeting Ben explains that he knows it is his job to improve sales but he is unsure how to do this. He has asked for your help to conduct some research to help make some informed decisions about how to improve sales.

1. Develop research question(s) that address the concerns outlined in the above scenario.
2. What secondary data sources might be used to help answer the research question(s)?
3. Selection of primary data collection method(s): What primary data collection method(s) can you use to help develop some recommendations for Ben? Justify your chosen method(s).
4. Selection of sampling technique: Ben wants you to get staff opinions about the decline in sales. How will you obtain the sample? Justify your sampling design.
5. What ethical principles you should follow when conducting this research?
6. Identify limitations in the research design you described in Q3 (relating to data collection) and/or Q4 (relating to sampling).

Determine the​ P-value for this hypothesis test.

P=?​(Round to three decimal places as​ needed.)

1) Give an example of a research problem that you could use an independent –sample t test on.

2) Give an example of a research problem that you could use a paired-sample t test on.

Construct a BCH (7,4) code with the generator matrix G(p)=p3 +p+1. (Draw the structure of the encoder )

Conduct an Internet search to find a study whose statistical results have been published in the news or any other public forum. Applying the following guidelines, critically analyze the study’s reported content and results.

Identify the goal, population, and type of study.

Who conducted the study? Is there bias here?

Is there bias in the sample used in the study?

Are there any problems in defining or measuring the variables of interest in the study?

Are there any confounding variables present in the study?

Are the results presented fairly?

Is the study’s conclusion reasonable? Does it make sense?

Do the results make practical significance?

Nuclear physicist found the probability of neutral particles being reflected was 0.16 and of being absorbed as 0.84.

a. What is the expected number of particles that would be reflected if 1,000 are released?

b. Assuming the normal approximations to the binomial distribution, what is the probability that 140 or fewer particles would be absorbed?

PLEASE ANSWER THE THREE QUESTION WITH CORRCT DEATILAS

Who may request a copy of a birth and death certificate?

If the mother is not married, can the father’s name be placed on the birth certificate?

What does father need to sign in order to be placed on birth certificate of unwed mother?

A healthcare provider monitors the number of CAT scans performed each month in each of
its clinics. The most recent year of data for a particular clinics follows (the reported variable is the
number of CAT scans each month expressed as the number of CAT scans per thousand members of the
health plan):

2.31, 2.09, 2.36, 1.95, 1.98, 2.25, 2.16, 2.07, 1.88, 1.94, 1.97, 2.02.

Find a two-sided 95% confidence interval for the standard deviation.

A nutritionist is interested in the relationship between cholesterol and diet. The nutritionist developed a non-vegetarian and vegetarian diet to reduce cholesterol levels. The nutritionist then obtained a sample of clients for which half are told to eat the new non-vegetarian diet and the other half to eat the vegetarian diet for five months. The nutritionist hypothesizes that the non-vegetarian diet will increase cholesterol levels more. What can the nutritionist conclude with α = 0.05. Below are the cholesterol levels of all the participants after five months.

If appropriate, compute the CI. If not appropriate, input "na" for both spaces below.
[   ,   ]

e) Compute the corresponding effect size(s) and indicate magnitude(s).
If not appropriate, input and/or select "na" below.
d =   ;  ---Select--- na trivial effect small effect medium effect large effect
r² =   ;  ---Select--- na trivial effect small effect medium effect large effect

In 2014, a group of students was interested in investigating prices of rental accommodation in suburbs of Brisbane that are close to the CBD and collected information on a total of 200 randomly chosen dwellings in four inner western suburbs. A subset of this data, relating to rental apartments in these suburbs is included below. The variables are:

Per week: weekly rental price for the apartment ($);

Bedrooms: number of bedrooms in the apartment;

Sqm: size of the apartment (m²)

Furnished: whether the apartment was furnished or not (yes/no).

The values are;

265,2,59,No

305,2,70,No

300,1,72,No

320,3,66,No

340,2,113,Yes

330,2,58,Yes

355,2,63,No

345,2,57,Yes

355,2,61,No

360,2,114,Yes

355,2,75,Yes

360,2,68,No

365,2,64,No

370,1,69,No

390,2,73,Yes

380,2,85,Yes

390,2,56,Yes

370,2,56,Yes

385,2,59,Yes

380,2,65,Yes

385,2,62,Yes

400,2,65,No

415,2,69,Yes

400,3,63,No

405,3,70,No

420,2,77,No

435,2,84,Yes

435,2,83,Yes

455,2,73,Yes

450,2,72,Yes

485,2,68,No

500,2,76,Yes

535,2,97,No

290,1,60,No

305,1,63,Yes

330,2,65,No

310,2,70,No

335,2,64,No

330,2,62,No

345,2,79,No

355,1,81,No

340,2,66,No

345,1,60,No

345,2,64,No

355,2,73,No

385,2,61,No

380,2,78,No

405,2,81,No

410,2,76,Yes

430,2,80,No

440,2,61,No

450,3,86,No

485,3,91,No

500,1,87,No

545,1,97,Yes

345,3,86,No

400,2,72,No

400,2,74,No

480,2,73,Yes

755,3,87,No

760,3,77,No

770,3,113,No

824,2,109,No

860,3,104,No

295,1,70,No

290,1,54,No

295,1,61,No

325,1,61,No

340,2,56,No

355,2,61,No

365,2,95,No

420,1,75,No

420,2,66,No

440,2,74,No

480,3,72,No

465,3,87,No

470,1,87,Yes

490,1,81,Yes

495,2,76,No

505,2,97,No

530,2,77,No

545,2,97,No

560,2,79,No

550,2,78,No

560,3,75,No

565,1,96,Yes

580,2,85,Yes

605,3,84,No

605,2,93,Yes

610,2,78,Yes

620,2,87,No

665,2,88,No

700,2,80,No

750,3,97,Yes

740,3,124,No

805,3,101,No

860,3,98,No

960,3,123,Yes

990,3,102,Yes

1195,3,133,No

1190,3,137,No

1405,3,148,Yes

1490,3,154,No

Question 3)

The students were interested in the proportion of rental apartments in these suburbs that were leased as furnished apartments, and whether this varied with the number of bedrooms in these apartments. To investigate further whether the proportions of furnished apartments differ between apartments with different numbers of bedrooms, it is useful to test formally whether the number of bedrooms in an apartment and whether it is furnished or not are independent.

a) Test whether the number of bedrooms in an apartment and whether it is furnished or not is independent.

b) State the null hypothesis, the relevant form of the test statistic and the approximate distribution of the test statistic for carrying out this text.

c) Perform a hypothesis test with using α = 0.05, of whether the proportions of furnished apartments vary across number of bedrooms, that is, whether the furnishing status of an apartment is independent of the number of bedrooms in the apartment.

Include the Following:

i) The table of expected frequencies

ii) The observed value of the test statistic

iii) The relevant degrees of freedom for the distribution of the test statistic

IV) The resulting p-value for the test, or a rejection region

Conclude the test by interpreting the p-value (or rejection region and your observed test statistic) in terms of the original question discussed above

Pls do this question with R code !!!!

During the independent research 30 women were chosen to measure their weight. The
mean value of weight is 66 kg and it is known from the previous experience that the weight is normally
distributed with ? = 10 kg.

a) Find a 95% two-sided confidence interval on the mean weight.

b) Find a 90% two-sided confidence interval on the mean weight.

c) Which interval is wider?

Describe how to write the null and alternative hypotheses based on a claim. Provide at least one example to clarify your explanation.

(I need your Reference URL LINK, please)

( i need Unique answer, don't copy and paste, please) (dont' use handwriting, please)

Q1. Define the following terms:
A. Contingency table (Introduction to Biostatistics)
B. Chi-square test (Introduction to Biostatistics)
Q2. List the assumptions required to perform a chi-square test? (Introduction to Biostatistics)

( i need Unique answer, don't copy and paste, please) (dont' use handwriting, please)

Applying statistical analysis skills to real-world decision making is key in modern business and it can make a company to be ahead competitively. Even in today’s workplace, you can have an immediate competitive edge over other new employees, and even those with more experience, by applying statistical analysis skills. Chose any company that you have observed that it is not utilizing its data as your case study. Do some background research on the company? Write an essay (report) outlining some statistical data analysis that the company can use in its decision making. Relate how data analysis can be attained by using built-in R-programming packages or functions.