how do you do x plus 10 - 4x equals 11
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Confidence Intervals Discussion
The B&K Real Estate Company sells homes and is currently serving the Southeast region. It has recently expanded to cover t ...
Confidence Intervals Discussion
The B&K Real Estate Company sells homes and is currently serving the Southeast region. It has recently expanded to cover the Northeast states. The B&K realtors are excited to now cover the entire East Coast and are working to prepare their southern agents to expand their reach to the Northeast.B&K has hired your company to analyze the Northeast home listing prices in order to give information to their agents about the mean listing price at 95% confidence. Your company offers three analysis packages: one based on a sample size of 100 listings, one based on 1,000 listings, and another based on a sample size of 4,000 listings. Because there is an additional cost for data collection, your company charges more for the package with 4,000 listings than for the package with 100 listings.Bronze Package - Sample size of 100 listings:95% confidence interval for the mean of the Northeast house listing price has a margin of error of $24,500Cost for service to B&K: $2,000Silver Package - Sample size of 1,000 listings:95% confidence interval for the mean of the Northeast house listing price has a margin of error of $7,750Cost for service to B&K: $10,000Gold Package - Sample size of 4,000 listings:95% confidence interval for the mean of the Northeast house listing price has a margin of error of $3,900Cost for service to B&K: $25,000The B&K management team does not understand the tradeoff between confidence level, sample size, and margin of error. B&K would like you to come back with your recommendation of the sample size that would provide the sales agents with the best understanding of northeast home prices at the lowest cost for service to B&K.In other words, which option is preferable?Spending more on data collection and having a smaller margin of errorSpending less on data collection and having a larger margin of errorChoosing an option somewhere in the middleFor your initial post:Formulate a recommendation and write a confidence statement in the context of this scenario. For the purposes of writing your confidence statement, assume the sample mean house listing price is $310,000 for all packages. “I am [#] % confident the true mean . . . [in context].”Explain the factors that went into your recommendation, including a discussion of the margin of errorFor your response posts to your peers, choose two different confidence intervals for your responses. Do you think the agents would prefer a different confidence interval than their management? What advantages and disadvantages would there be in having different confidence intervals for the agents? Explain your thought process and reasoning in your response.
University of California Davis Data Wrangling HTML Document
below are the questions and i will attach the note if you need ---title: "Question 1"---
```{r, message = FALSE}library(t ...
University of California Davis Data Wrangling HTML Document
below are the questions and i will attach the note if you need ---title: "Question 1"---
```{r, message = FALSE}library(tidyverse)library(gapminder)# use ?gapminder get the desciption of the dataset `gapminder````
Consider the dataset `gapminder`.
##### (a) Modify the `continent` factor by classifying the Americas' countries into `South America` and `North America` Hint: the following countries are in South America. ```r c("Argentina", "Bolivia", "Brazil", "Chile", "Colombia", "Ecuador", "Paraguay", "Peru", "Trinidad and Tobago", "Uruguay", "Venezuela") ```
In the following questions, use the dataset modified in (a).
Hint: you could use `case_when` function.
##### (b) How many countries are there in the dataset? How about for each continent?
##### (c) For each year, which country had the largest gdp per capital?
##### (d) For each continent, which country experienced the sharpest increment rate in life expectancy from 1997 to 2007?
##### (e) Focus on the data in year 2007, what are the correlation coefficients between life expectancy and gdp per capital for each continent?
##### (f) Visualize part (e) by plotting gdp per capital vs life expectancy.---title: "Question 2"---
Consider the `flights` dataset in the package `nycflights13`.
```{r, message = FALSE}library(nycflights13)library(tidyverse)```
##### (a) Add a column that is the amount of time gained in the air (`gain = dep_delay - arr_delay`)
##### (b) Sort part (a) descedingly by the column you just created. Store the result as `flights_gain`.
##### (c) On average, did flights gain or lose time? (Hint: not average gain, but as percentage of positive gain.)
##### (d) On average, did flights heading to SeaTac ("SEA") gain or loose time?
##### (e) Summerize the mean, min and max of the `air_time` column for flights from `JFK` to `SEA`.
##### (f) In which month was the average departure delay the greatest?
##### (g) In which airport were the average arrival delays the highest?
#####(h) Which city was flown to with the highest average speed?
##### (i) Create a data frame of the average arrival delay for each destination, then use` left_join` to join on the `airports` dataframe, which has the airport info. (Hint: read the documentation of `airports` for the airport codes.)---title: "Question 3"---
##### (a) There is a csv file called `groceries.csv` in this directory. Read the csv file using `read_csv` from `tidyverse` and store the data frame as `groceries`. The datset shows the prices of some common groceries item in 4 different stores.
The table shows the prices of different items in 4 different stores.
##### (b) Is the data frame in wide format or long format?
##### (c) Try to convert it into the other format. Store it as `groceries2`.
##### (d) Use a randomized block design to analysis the store prices. Is there a store marking up the item prices?
MBA 6350 WU Week 2 Data Visualization and Descriptive Statistics Case Study
For this assignment, you need to submit a single Excel
workbook (80% of the case study grade) showing all work for Steps ...
MBA 6350 WU Week 2 Data Visualization and Descriptive Statistics Case Study
For this assignment, you need to submit a single Excel
workbook (80% of the case study grade) showing all work for Steps 1-5
and a Word document (20% of the case study grade) of your
summary report that addresses all parts of Step 6 (to tell a story
with the data and through visualization means).Conduct an
analysis of data on 4 variables collected from the 50 United States (Data File attached). You will calculate
various descriptive statistics, create summary tables and create various charts
to summarize the data for a company. Finally, you will create a written report
for company leadership summarizing your findings. You will need to enable the
Data Analysis ToolPak Add-in on your Data Ribbon in Excel to perform the
necessary analyses. Note:
If you use a Mac, the Data Analysis ToolPak is only available in Excel 2016 or
higher.Copy of
instructions and a helpful template to utilize are attached.
12 pages
Correlation And Regression Project
Directions: Use the following information to complete the questions below. While APA format is not required for the body o ...
Correlation And Regression Project
Directions: Use the following information to complete the questions below. While APA format is not required for the body of this assignment, solid ...
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Most Popular Content
Confidence Intervals Discussion
The B&K Real Estate Company sells homes and is currently serving the Southeast region. It has recently expanded to cover t ...
Confidence Intervals Discussion
The B&K Real Estate Company sells homes and is currently serving the Southeast region. It has recently expanded to cover the Northeast states. The B&K realtors are excited to now cover the entire East Coast and are working to prepare their southern agents to expand their reach to the Northeast.B&K has hired your company to analyze the Northeast home listing prices in order to give information to their agents about the mean listing price at 95% confidence. Your company offers three analysis packages: one based on a sample size of 100 listings, one based on 1,000 listings, and another based on a sample size of 4,000 listings. Because there is an additional cost for data collection, your company charges more for the package with 4,000 listings than for the package with 100 listings.Bronze Package - Sample size of 100 listings:95% confidence interval for the mean of the Northeast house listing price has a margin of error of $24,500Cost for service to B&K: $2,000Silver Package - Sample size of 1,000 listings:95% confidence interval for the mean of the Northeast house listing price has a margin of error of $7,750Cost for service to B&K: $10,000Gold Package - Sample size of 4,000 listings:95% confidence interval for the mean of the Northeast house listing price has a margin of error of $3,900Cost for service to B&K: $25,000The B&K management team does not understand the tradeoff between confidence level, sample size, and margin of error. B&K would like you to come back with your recommendation of the sample size that would provide the sales agents with the best understanding of northeast home prices at the lowest cost for service to B&K.In other words, which option is preferable?Spending more on data collection and having a smaller margin of errorSpending less on data collection and having a larger margin of errorChoosing an option somewhere in the middleFor your initial post:Formulate a recommendation and write a confidence statement in the context of this scenario. For the purposes of writing your confidence statement, assume the sample mean house listing price is $310,000 for all packages. “I am [#] % confident the true mean . . . [in context].”Explain the factors that went into your recommendation, including a discussion of the margin of errorFor your response posts to your peers, choose two different confidence intervals for your responses. Do you think the agents would prefer a different confidence interval than their management? What advantages and disadvantages would there be in having different confidence intervals for the agents? Explain your thought process and reasoning in your response.
University of California Davis Data Wrangling HTML Document
below are the questions and i will attach the note if you need ---title: "Question 1"---
```{r, message = FALSE}library(t ...
University of California Davis Data Wrangling HTML Document
below are the questions and i will attach the note if you need ---title: "Question 1"---
```{r, message = FALSE}library(tidyverse)library(gapminder)# use ?gapminder get the desciption of the dataset `gapminder````
Consider the dataset `gapminder`.
##### (a) Modify the `continent` factor by classifying the Americas' countries into `South America` and `North America` Hint: the following countries are in South America. ```r c("Argentina", "Bolivia", "Brazil", "Chile", "Colombia", "Ecuador", "Paraguay", "Peru", "Trinidad and Tobago", "Uruguay", "Venezuela") ```
In the following questions, use the dataset modified in (a).
Hint: you could use `case_when` function.
##### (b) How many countries are there in the dataset? How about for each continent?
##### (c) For each year, which country had the largest gdp per capital?
##### (d) For each continent, which country experienced the sharpest increment rate in life expectancy from 1997 to 2007?
##### (e) Focus on the data in year 2007, what are the correlation coefficients between life expectancy and gdp per capital for each continent?
##### (f) Visualize part (e) by plotting gdp per capital vs life expectancy.---title: "Question 2"---
Consider the `flights` dataset in the package `nycflights13`.
```{r, message = FALSE}library(nycflights13)library(tidyverse)```
##### (a) Add a column that is the amount of time gained in the air (`gain = dep_delay - arr_delay`)
##### (b) Sort part (a) descedingly by the column you just created. Store the result as `flights_gain`.
##### (c) On average, did flights gain or lose time? (Hint: not average gain, but as percentage of positive gain.)
##### (d) On average, did flights heading to SeaTac ("SEA") gain or loose time?
##### (e) Summerize the mean, min and max of the `air_time` column for flights from `JFK` to `SEA`.
##### (f) In which month was the average departure delay the greatest?
##### (g) In which airport were the average arrival delays the highest?
#####(h) Which city was flown to with the highest average speed?
##### (i) Create a data frame of the average arrival delay for each destination, then use` left_join` to join on the `airports` dataframe, which has the airport info. (Hint: read the documentation of `airports` for the airport codes.)---title: "Question 3"---
##### (a) There is a csv file called `groceries.csv` in this directory. Read the csv file using `read_csv` from `tidyverse` and store the data frame as `groceries`. The datset shows the prices of some common groceries item in 4 different stores.
The table shows the prices of different items in 4 different stores.
##### (b) Is the data frame in wide format or long format?
##### (c) Try to convert it into the other format. Store it as `groceries2`.
##### (d) Use a randomized block design to analysis the store prices. Is there a store marking up the item prices?
MBA 6350 WU Week 2 Data Visualization and Descriptive Statistics Case Study
For this assignment, you need to submit a single Excel
workbook (80% of the case study grade) showing all work for Steps ...
MBA 6350 WU Week 2 Data Visualization and Descriptive Statistics Case Study
For this assignment, you need to submit a single Excel
workbook (80% of the case study grade) showing all work for Steps 1-5
and a Word document (20% of the case study grade) of your
summary report that addresses all parts of Step 6 (to tell a story
with the data and through visualization means).Conduct an
analysis of data on 4 variables collected from the 50 United States (Data File attached). You will calculate
various descriptive statistics, create summary tables and create various charts
to summarize the data for a company. Finally, you will create a written report
for company leadership summarizing your findings. You will need to enable the
Data Analysis ToolPak Add-in on your Data Ribbon in Excel to perform the
necessary analyses. Note:
If you use a Mac, the Data Analysis ToolPak is only available in Excel 2016 or
higher.Copy of
instructions and a helpful template to utilize are attached.
12 pages
Correlation And Regression Project
Directions: Use the following information to complete the questions below. While APA format is not required for the body o ...
Correlation And Regression Project
Directions: Use the following information to complete the questions below. While APA format is not required for the body of this assignment, solid ...
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