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Which graph represents the inequality x≥2?
2. Which graph represents the inequality y>1−3x?
3. Which graph represents the inequality 3y−5x≤−6?
4. Which inequality is represented by the graph?
y≥−32x−2
y>−32x−2
y≤−32x−2
y35x−1.5
y
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NYU Relational Database Management Systems Excel Spreadsheet
HW 7 - Segmentation AnalysisThe tables in the attached file show a cross-tabulation of frequent -flier mileage categories ...
NYU Relational Database Management Systems Excel Spreadsheet
HW 7 - Segmentation AnalysisThe tables in the attached file show a cross-tabulation of frequent -flier mileage categories (high, med, low) by Age-category (younger, older). A travel offer was made to 5000 people in the analytic sample•Table 1 shows the counts of the 5000 people in the analytic sample.•Table 2 shows the counts as a percentage of the 5000 people in the analytic sample•Table 3 shows the number of orders placed for the travel offer.•Table 4 shows the response rate for the travel offerHW:1.Create a new table showing indexes of observed response rates, relative to the overall rate. Then based on the index table you created, create 3 segments labeled as follows (if nec., refer to textbook chapter 7, and slides from week 3, for a refresher on Indexes)2.Segments: Yes (index >= 120), Maybe (index between 100-120), No (index <=100)3.If the entire customer file is 100,000 customers, how many customers are there in each of the “Yes”, “Maybe”, and “No” categories?4.What might be the observed response rate for the “Yes” segment that you want to market to?5.Past marketing efforts (before this new segmentation) showed an overall response rate of 5.24%. If new offers are to be sent and targeted to the “Yes” segment, what is the expected response rate for the “Yes” segment? And what is the response rate index?6. How many orders to the travel offer would you expect? Attached excel is the file of cross-tabulation of frequent -flier mileage categories. Attached slides(week8) is the related contents weekly slides. Please see the slides first and then do the chart for the highest accurate.
statistics
Assignment #3: Inferential Statistics Analysis and Writeup Purpose: The purpose of this assignment is to develop and carr ...
statistics
Assignment #3: Inferential Statistics Analysis and Writeup Purpose: The purpose of this assignment is to develop and carry out an inferential statistics analysis plan and write up the findings. There are two main parts to this assignment: ● Part A: Inferential Statistics Data Plan and Analysis ● Part B: Write up of Results Part A: Prepare Data Plan, Analyze Data, and Complete Part A of the Assignment #3 Template ➢ Task 1: Select Variables. Review the variables you used for assignments #1 and #2. Select your qualitative socioeconomic variable as your grouping variable and the two expenditure variables from the variables used in these previous assignments. Fill in Table 1: Variables Selected for Analysis with name, description, and type of variable (i.e., qualitative or quantitative). ➢ Task 2: Select and Run a One Sample Confidence Interval Analysis. For one expenditure variable, select and run the appropriate method for estimating a parameter, based on a statistic (i.e., confidence interval method). Complete Table 2: Confidence Interval Information and Results, which follows the format outlined by Kozak and the course’s problem-solving approach, including: ○ Random variable stated in words ○ Confidence interval method, including rationale and assumptions ○ Method used for analyzing data (i.e., web applets, Excel, TI calculator, etc.). ○ Results obtained ○ Interpretation ➢ Task 3: Select Two Sample Hypothesis Test. Using the second expenditure variable (with the socioeconomic variable as the grouping variable), select and run the appropriate method for making decisions about two parameters relative to observed statistics (i.e., two sample STAT200: Assignment #3 - Inferential Statistics Analysis and Writeup - Instructions Page 2 of 5 hypothesis test method). Complete Table 3: Two Sample Hypothesis Test Analysis, which follows the format outlined by Kozak and the course’s problem-solving approach, including: ○ Hypotheses (null and alternative). ○ Two sample hypothesis testing method, including rationale and assumptions ○ Method used for analyzing data (i.e., web applets, Excel, TI calculator, etc.). ○ Results obtained. ○ Interpretation (i.e., Reject the null hypothesis OR Fail to reject null hypothesis) Step 2: Write Up Results and Complete Part B of the Assignment #3 Template For this 1 to 2 page section, refer to the inferential statistics data plan and computations done for Part A of this assignment. Address the following area: ➢ Introduction. Based on the scenario you submitted for the second assignment, provide a brief description of scenario, including the variables that were used in this analysis. Include a completed “Table 1: Variables Selected for Analysis to show the variables you selected for analysis. ➢ Data Set Description and Method Used for Analysis. Briefly describe the data set, using information provided with data set and write up in Assignment #2. Also describe what method(s) (i.e., free web applets, Excel, TI Calculator) you used to analyze the data. ➢ Results. In this section, you will report the results of your inferential statistics data analysis. For the Confidence Interval Analysis, write one paragraph that includes: o Statistical method used, including rationale and whether assumptions were met. o Statistical Interpretation. The statistical interpretation is that the confidence interval has a probability (1−α, where α is the complement of the confidence level) of containing the population parameter. o Real World Interpretation. Explain the results in everyday language. Recommend reviewing the text and information from the classroom for examples on how to report results in everyday language. STAT200: Assignment #3 - Inferential Statistics Analysis and Writeup - Instructions Page 3 of 5 For the Two Sample Hypothesis Test Analysis, write one paragraph that includes: o Hypotheses that were assessed. See below table for example format: Examples Format for Writing Null and Alternative Hypotheses, in Words Null Hypothesis: There is no significant difference in [insert variable name] between [insert group 1 name] and [insert group 2 name] households. Alternative Hypothesis: ➢ For two-tailed (≠): There is a significant difference in [insert variable name] between [insert group 1 name] and [insert group 2 name] households. ➢ For one-tailed (>): [Insert group 1 name] has statistically significantly higher [insert variable name] than [insert group 2 name]. ➢ For one-tailed (<): [Insert group 1 name] has statistically significantly lower [insert variable name] than [insert group 2 name]. o Statistical method used, including rationale and whether assumptions were met. See below table for example format: Example Format for Writing Statistical Method with Rationale To determine whether the there was a difference in [insert household expenditure] between [insert names of two groups), a [insert name of hypothesis test used] was used. It was the appropriate statistical method, because [insert rationale]. The assumptions were assessed [insert information about the assumptions assessed and whether they were met]. o Conclusion from the Results. This is where you state whether to reject Ho or fail to reject Ho including the p-value that was obtained. The rule is: if the p-value < α, then reject Ho. If the p-value ≥α, then fail to reject Ho. STAT200: Assignment #3 - Inferential Statistics Analysis and Writeup - Instructions Page 4 of 5 o Real World Interpretation. Explain, in everyday language, the results. If any of the assumptions were not met, describe how it might affect conclusions. Address issues of Type I and/or Type II Error, where appropriate. Recommend reviewing the text and information from the classroom for examples on how to report results in everyday language. ➢ Discussion– Write one paragraph that summarizes the results of your findings and how they may be helpful to the person described in the scenario, when making a household budget.
2 essay questions about sample and survey
Please answer the 2 essay questions below and each questions needs about 350-500 words.You are tasked with developing a sa ...
2 essay questions about sample and survey
Please answer the 2 essay questions below and each questions needs about 350-500 words.You are tasked with developing a sample of 100 employees from a population of 400 employees. Approximately 60% of the employees are women and 40% of the women are racial/ethnic minorities. Approximately 33% of the male employees are racial/ethnic minorities. Discuss how you might develop a stratified fandom sample and tell me how many racial/ethnic minority females and how many racial/ethnic minority males will eventually be in your sample.Provide a detailed discussion of the advantages and disadvantages associated with using closed and open-ended questions in conducting surveys involving human research subjects.
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?
Grantham University Statistics for Behavior Science Paper
Week 4 - Assignment
ANOVA Interpretation Exercise
[WLOs: 2, 4, 5] [CLOs: 3, 4]
Prior to beginning work on this assignment, ...
Grantham University Statistics for Behavior Science Paper
Week 4 - Assignment
ANOVA Interpretation Exercise
[WLOs: 2, 4, 5] [CLOs: 3, 4]
Prior to beginning work on this assignment, read the scenario and ANOVA results provided in an announcement by your instructor and the Analysis of Variance (ANOVA) and Non-Normal Data: Is ANOVA Still a Valid Option? articles, review the required chapters of the Tanner textbook and the Jarman e-book, and watch the One-Way ANOVA video. In your paper, identify the research question and the hypothesis being tested in the assigned scenario. Consider the following questions: What are the independent and dependent variables, sample size, treatments, etcetera? What type of ANOVA was used in this scenario? What do the results mean in statistical and practical terms?
In your paper,
Determine what question(s) the researchers are trying to answer by doing this research.
Determine the hypotheses being tested. Is the alternative hypothesis directional or nondirectional?
Identify the independent variable(s), the dependent variable, and the specific type of ANOVA used.
Determine the sample size and the number of groups from information given in the ANOVA table.
Discuss briefly the assumptions and limitations that apply to ANOVA.
Interpret the ANOVA results in terms of statistical significance and in relation to the research question.
The ANOVA Interpretation Exercise assignment
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NYU Relational Database Management Systems Excel Spreadsheet
HW 7 - Segmentation AnalysisThe tables in the attached file show a cross-tabulation of frequent -flier mileage categories ...
NYU Relational Database Management Systems Excel Spreadsheet
HW 7 - Segmentation AnalysisThe tables in the attached file show a cross-tabulation of frequent -flier mileage categories (high, med, low) by Age-category (younger, older). A travel offer was made to 5000 people in the analytic sample•Table 1 shows the counts of the 5000 people in the analytic sample.•Table 2 shows the counts as a percentage of the 5000 people in the analytic sample•Table 3 shows the number of orders placed for the travel offer.•Table 4 shows the response rate for the travel offerHW:1.Create a new table showing indexes of observed response rates, relative to the overall rate. Then based on the index table you created, create 3 segments labeled as follows (if nec., refer to textbook chapter 7, and slides from week 3, for a refresher on Indexes)2.Segments: Yes (index >= 120), Maybe (index between 100-120), No (index <=100)3.If the entire customer file is 100,000 customers, how many customers are there in each of the “Yes”, “Maybe”, and “No” categories?4.What might be the observed response rate for the “Yes” segment that you want to market to?5.Past marketing efforts (before this new segmentation) showed an overall response rate of 5.24%. If new offers are to be sent and targeted to the “Yes” segment, what is the expected response rate for the “Yes” segment? And what is the response rate index?6. How many orders to the travel offer would you expect? Attached excel is the file of cross-tabulation of frequent -flier mileage categories. Attached slides(week8) is the related contents weekly slides. Please see the slides first and then do the chart for the highest accurate.
statistics
Assignment #3: Inferential Statistics Analysis and Writeup Purpose: The purpose of this assignment is to develop and carr ...
statistics
Assignment #3: Inferential Statistics Analysis and Writeup Purpose: The purpose of this assignment is to develop and carry out an inferential statistics analysis plan and write up the findings. There are two main parts to this assignment: ● Part A: Inferential Statistics Data Plan and Analysis ● Part B: Write up of Results Part A: Prepare Data Plan, Analyze Data, and Complete Part A of the Assignment #3 Template ➢ Task 1: Select Variables. Review the variables you used for assignments #1 and #2. Select your qualitative socioeconomic variable as your grouping variable and the two expenditure variables from the variables used in these previous assignments. Fill in Table 1: Variables Selected for Analysis with name, description, and type of variable (i.e., qualitative or quantitative). ➢ Task 2: Select and Run a One Sample Confidence Interval Analysis. For one expenditure variable, select and run the appropriate method for estimating a parameter, based on a statistic (i.e., confidence interval method). Complete Table 2: Confidence Interval Information and Results, which follows the format outlined by Kozak and the course’s problem-solving approach, including: ○ Random variable stated in words ○ Confidence interval method, including rationale and assumptions ○ Method used for analyzing data (i.e., web applets, Excel, TI calculator, etc.). ○ Results obtained ○ Interpretation ➢ Task 3: Select Two Sample Hypothesis Test. Using the second expenditure variable (with the socioeconomic variable as the grouping variable), select and run the appropriate method for making decisions about two parameters relative to observed statistics (i.e., two sample STAT200: Assignment #3 - Inferential Statistics Analysis and Writeup - Instructions Page 2 of 5 hypothesis test method). Complete Table 3: Two Sample Hypothesis Test Analysis, which follows the format outlined by Kozak and the course’s problem-solving approach, including: ○ Hypotheses (null and alternative). ○ Two sample hypothesis testing method, including rationale and assumptions ○ Method used for analyzing data (i.e., web applets, Excel, TI calculator, etc.). ○ Results obtained. ○ Interpretation (i.e., Reject the null hypothesis OR Fail to reject null hypothesis) Step 2: Write Up Results and Complete Part B of the Assignment #3 Template For this 1 to 2 page section, refer to the inferential statistics data plan and computations done for Part A of this assignment. Address the following area: ➢ Introduction. Based on the scenario you submitted for the second assignment, provide a brief description of scenario, including the variables that were used in this analysis. Include a completed “Table 1: Variables Selected for Analysis to show the variables you selected for analysis. ➢ Data Set Description and Method Used for Analysis. Briefly describe the data set, using information provided with data set and write up in Assignment #2. Also describe what method(s) (i.e., free web applets, Excel, TI Calculator) you used to analyze the data. ➢ Results. In this section, you will report the results of your inferential statistics data analysis. For the Confidence Interval Analysis, write one paragraph that includes: o Statistical method used, including rationale and whether assumptions were met. o Statistical Interpretation. The statistical interpretation is that the confidence interval has a probability (1−α, where α is the complement of the confidence level) of containing the population parameter. o Real World Interpretation. Explain the results in everyday language. Recommend reviewing the text and information from the classroom for examples on how to report results in everyday language. STAT200: Assignment #3 - Inferential Statistics Analysis and Writeup - Instructions Page 3 of 5 For the Two Sample Hypothesis Test Analysis, write one paragraph that includes: o Hypotheses that were assessed. See below table for example format: Examples Format for Writing Null and Alternative Hypotheses, in Words Null Hypothesis: There is no significant difference in [insert variable name] between [insert group 1 name] and [insert group 2 name] households. Alternative Hypothesis: ➢ For two-tailed (≠): There is a significant difference in [insert variable name] between [insert group 1 name] and [insert group 2 name] households. ➢ For one-tailed (>): [Insert group 1 name] has statistically significantly higher [insert variable name] than [insert group 2 name]. ➢ For one-tailed (<): [Insert group 1 name] has statistically significantly lower [insert variable name] than [insert group 2 name]. o Statistical method used, including rationale and whether assumptions were met. See below table for example format: Example Format for Writing Statistical Method with Rationale To determine whether the there was a difference in [insert household expenditure] between [insert names of two groups), a [insert name of hypothesis test used] was used. It was the appropriate statistical method, because [insert rationale]. The assumptions were assessed [insert information about the assumptions assessed and whether they were met]. o Conclusion from the Results. This is where you state whether to reject Ho or fail to reject Ho including the p-value that was obtained. The rule is: if the p-value < α, then reject Ho. If the p-value ≥α, then fail to reject Ho. STAT200: Assignment #3 - Inferential Statistics Analysis and Writeup - Instructions Page 4 of 5 o Real World Interpretation. Explain, in everyday language, the results. If any of the assumptions were not met, describe how it might affect conclusions. Address issues of Type I and/or Type II Error, where appropriate. Recommend reviewing the text and information from the classroom for examples on how to report results in everyday language. ➢ Discussion– Write one paragraph that summarizes the results of your findings and how they may be helpful to the person described in the scenario, when making a household budget.
2 essay questions about sample and survey
Please answer the 2 essay questions below and each questions needs about 350-500 words.You are tasked with developing a sa ...
2 essay questions about sample and survey
Please answer the 2 essay questions below and each questions needs about 350-500 words.You are tasked with developing a sample of 100 employees from a population of 400 employees. Approximately 60% of the employees are women and 40% of the women are racial/ethnic minorities. Approximately 33% of the male employees are racial/ethnic minorities. Discuss how you might develop a stratified fandom sample and tell me how many racial/ethnic minority females and how many racial/ethnic minority males will eventually be in your sample.Provide a detailed discussion of the advantages and disadvantages associated with using closed and open-ended questions in conducting surveys involving human research subjects.
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?
Grantham University Statistics for Behavior Science Paper
Week 4 - Assignment
ANOVA Interpretation Exercise
[WLOs: 2, 4, 5] [CLOs: 3, 4]
Prior to beginning work on this assignment, ...
Grantham University Statistics for Behavior Science Paper
Week 4 - Assignment
ANOVA Interpretation Exercise
[WLOs: 2, 4, 5] [CLOs: 3, 4]
Prior to beginning work on this assignment, read the scenario and ANOVA results provided in an announcement by your instructor and the Analysis of Variance (ANOVA) and Non-Normal Data: Is ANOVA Still a Valid Option? articles, review the required chapters of the Tanner textbook and the Jarman e-book, and watch the One-Way ANOVA video. In your paper, identify the research question and the hypothesis being tested in the assigned scenario. Consider the following questions: What are the independent and dependent variables, sample size, treatments, etcetera? What type of ANOVA was used in this scenario? What do the results mean in statistical and practical terms?
In your paper,
Determine what question(s) the researchers are trying to answer by doing this research.
Determine the hypotheses being tested. Is the alternative hypothesis directional or nondirectional?
Identify the independent variable(s), the dependent variable, and the specific type of ANOVA used.
Determine the sample size and the number of groups from information given in the ANOVA table.
Discuss briefly the assumptions and limitations that apply to ANOVA.
Interpret the ANOVA results in terms of statistical significance and in relation to the research question.
The ANOVA Interpretation Exercise assignment
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