# Data analysing/applied statistics using R commander and formulas

I need the following questions to be solved as soon as possible. If there is something that seems unclear, I can help out with translations. I need this done as soon as possible for a reasonable prize tag.

1.

The datafile [login to view URL] contains samples of information about visitors to a website, every individual sample note if they have converted and made a purchase or not.

Create a confidence interval of 95% for every visitor that has converted to declare the following:

a) Show which mathematical formula that should be used

b) Put the right numbers and table value / chart value into the mathematical formula

c) Calculate by hand or use RCommander the confidence interval

d) Interpret the confidence interval with words

2.

The datafile [login to view URL] shows the average amount of sessions per week (in thousands) on a webpage before and after a marketing campaign.

a) Illustrate and visualize the data in a suitable diagram and assess the data quality

Try a 5% level of significance if the marketing campaign has increased the amount of sessions per week by declaring the following:

b) Create a hypothesis

c) Assign which test variable (t-table) that should be used and put the right numbers into it

d) Report the results of the test with critical value-method or as a p-value

e) Report what prerequisites / preconditions the method is based on and report if the

conditions have been met.

f) Interpret the results of the test

3.

We are running a survey with pop-ups on a website with the purpose of collecting information about the following.

Question 1: What web browser are you using?

( ) Internet Explorer

( ) Other

Question 2: Do you experience our website as fast?

( ) Yes

( ) No

The data is contained in [login to view URL]

Try a 5% significance if there is any correlation between web browsers and if the website is experienced as fast by declaring the following:

a) Create the hypothesis

b) Assign which test variable (t table) that should be used and put the right numbers into it

c) Report the results of the test with critical value-method or as a p-value

d) Report what prerequisites / preconditions the method is based on and report if the

conditions have been met.

e) Interpret the results of the test and write which web browser you would recommend to the

user who wants to have the fastest experience on the web site.

4.

Sales statistics from a web shop show that 14% of all checkouts is above 500kr. The web shop has a large number of checkouts and it is reasonable to assume the checkouts are independent of each other.

a) What is the probability that 2 randomly selected checkouts both are of more than 500kr?

Present which mathematical formula should be used and calculate by hand.

b) What is the probability that out of 10 checkouts less than 2 are more than 500kr?

Present which mathematical formula should be used and calculate by hand.

Legend (Swedish to English translations)

Kr = Swedish Krona

t table = t table

xlsx document translations:

Resultat = Results

icke_konverterat = not_converted

har_konverterat = has_converted

Tidpunkt = Point in time

Innan_kampanj = Before_campaign

Genomsnittligt_antal_sessioner = Average_of_sessions

efter_kampanj = after_campaign

Fråga 1 = Question 1

Fråga 2 = Question 2

Ja = Yes

Nej = No

Về Bên Thuê:
( 0 nhận xét ) Sweden

ID dự án: #17191099

## 19 freelancer đang chào giá trung bình \$82 cho công việc này

schoudhary1553

Hello, I can help with you in your project Data analysing/applied statistics using R commander and formulas. I have more than 5 years of experience in Data Entry, Data Processing, Excel, R Programming Language, Stat Thêm

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suyashdhoot

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blakehamm

With 2+ years in R programming and piloting of successful R projects, I am an ideal candidate. I have experience with a variety of packages and data formats including all required processes on the project description. Thêm

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mohamedrdait

Hello I can achieve this project perfectly Using R I master r commander for confident interval , hypothesis test , classification , prediction using kmeans, hierarchical lassification , datamining,machine learning Thêm

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alkarajput3131

I am a data scientist and am proficient at implementing machine learning models and deep learning based models, both in R and python. I also am familiar with web-scrapping using python. I have good command over variou Thêm

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P1968

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