what are the next four terms in the sequence
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what are the next four terms in the sequence 1/1, 1/4, 1/9, 1/16
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A Company That Sells Radios Has Yearly Fixed Costs Of
A company that sells radios has yearly fixed costs of $600,000. It costs the company $45 to produce each radio. Each radio ...
A Company That Sells Radios Has Yearly Fixed Costs Of
A company that sells radios has yearly fixed costs of $600,000. It costs the company $45 to produce each radio. Each radio will sell for $65. The ...
Grossmont College Hypothesis Test for A Population Mean Lab Questions
Context
A group of 75 college students from a liberal arts college were randomly sampled and asked about the number of alc ...
Grossmont College Hypothesis Test for A Population Mean Lab Questions
Context
A group of 75 college students from a liberal arts college were randomly sampled and asked about the number of alcoholic drinks they have in a typical week. The file containing the data is linked below. The purpose of this study (Links to an external site.) was to compare the drinking habits of the students at the college to the drinking habits of college students in general. In particular, the dean of students, who initiated this study, would like to check whether the mean number of alcoholic drinks that students at his college have in a typical week differs from the mean of U.S. college students in general, which is estimated to be 4.73.
Variables
The number of alcoholic beverages a student consumes in a week.
Data
Download the drinks (Links to an external site.) data file and then upload the datafile in StatCrunch.
Prompt
The drinks datafile is available in the Data section below.
Let ?? be the mean number of alcoholic beverages that students in the liberal arts college drink in a typical week. State the hypotheses.
Here is a histogram of the data. Can we safely use the t-test with this data? Explain.
Perform the t-test using StatCrunch. (directions)
Copy and paste the information from the StatCrunch output window into your initial post.
Based on the P-value, state your conclusions in context. Use a 5% level of significance.
NOTE: You do not need to double the P-value for this two-tailed test. StatCrunch calculates the P-value for you.
Using the context of this scenario, explain the meaning of each of following items from the StatCrunch output for the hypothesis test.
Std. Err (standard error)
T-stat (T-score)
P-value
statistics quiz #5 working on ALEKS
Please complete a statistics quiz that consists of 5 questions. I will be able to provide my information log on informatio ...
statistics quiz #5 working on ALEKS
Please complete a statistics quiz that consists of 5 questions. I will be able to provide my information log on information to complete. The class is MAT 300, and the quiz is to be completed on ALEKS. If you are familiar with using the ALEKS program, please let me know.
MAT 240 SNHU Relationship BW Selling Price of Properties and Their Sizes Analysis
ScenarioSmart businesses in all industries use data to provide an intuitive
analysis of how they can ge ...
MAT 240 SNHU Relationship BW Selling Price of Properties and Their Sizes Analysis
ScenarioSmart businesses in all industries use data to provide an intuitive
analysis of how they can get a competitive advantage. The real estate
industry heavily uses linear regression to estimate home prices, as cost
of housing is currently the largest expense for most families.
Additionally, in order to help new homeowners and home sellers with
important decisions, real estate professionals need to go beyond showing
property inventory. They need to be well versed in the relationship
between price, square footage, build year, location, and so many other
factors that can help predict the business environment and provide the
best advice to their clients.PromptYou have been recently hired as a junior analyst by D.M. Pan Real
Estate Company. The sales team has tasked you with preparing a report
that examines the relationship between the selling price of properties
and their size in square feet. You have been provided with a Real Estate County Data
document that includes properties sold nationwide in recent years. The
team has asked you to select a region, complete an initial analysis, and
provide the report to the team.Note: In the report you prepare for the sales team,
the response variable (y) should be the median listing price and the
predictor variable (x) should be the median square feet.Specifically you must address the following rubric criteria, using the Module Two Assignment Template:Generate a Representative Sample of the Data
Select a region and generate a simple random sample of 30 from the data.Report the median listing price and median square foot, report the mean, median, and standard deviation.
Analyze Your Sample
Discuss how the regional sample created is or is not reflective of the national market.
Compare and contrast your sample with the population using the National Statistics and Graphs document.
Explain how you have made sure that the sample is random.
Explain your methods to get a truly random sample.
Generate Scatterplot
Create a scatterplot of the x and y variables noted above and include a trend line and the regression equation
Observe patterns
Answer the following questions based on the scatterplot:
Define x and y. Which variable is useful for making predictions?Is there an association between x and y? Describe the association you see in the scatter plot.What do you see as the shape (linear or nonlinear)?If you had a 1,200 square foot house, based on the regression equation in the graph, what price would you choose to list at?Do you see any potential outliers in the scatterplot?
Why do you think the outliers appeared in the scatterplot you generated?What do they represent?
Binomial Distribution and it's Expected Value
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Binomial Distribution and it's Expected Value
Binomial Distribution and it's Expected ValueBinomial Distribution and it's Expected ValueBinomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected ValueBinomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value
UCLA Categorical Vs Quantitative Data Statistics Exam Practice
Q1
IT Department of an electronic retail company found a new computer virus, which attacks only software of smart microwav ...
UCLA Categorical Vs Quantitative Data Statistics Exam Practice
Q1
IT Department of an electronic retail company found a new computer virus, which attacks only software of smart microwave ovens made by the company. The Sales Department could call back a few batches of ovens and send them to IT guys for testing. Testing indicated version differences: Approximately 10% of the sample of last models were infected, approximately 35% of the sample of one-year-old models were infected, and approximately 50% of the sample of three-year-old models were infected.
Describe the variables and indicate whether each variable is quantitative or categorical.
Q2
A scientist collects data from many people to determine how the age and weight are related. How the data is collected determines whether the variables are quantitative or categorical. Describe how the information might be recorded if we regard both variables as categorical.
Q3
Hybrid electric vehicles is a type of a hybrid vehicle and an electric vehicle that combines the conventional internal combustion engine propulsion system with the electric propulsion system. One study of 4250 car owners in Utah found that 14% had a hybrid car. Besides, the second study measured average gas mileage per gallon in a city and on a highway. Finally, the third study measured the maximum distance without refuel or recharging. In each of three studies, identify the variables and whether each variable is quantitative or categorical.
Q4
In one study, a water sample was taken from various lakes. The data indicate that as the concentration of a large group of unicellular microorganisms in the lake water goes up, the fertility level of fish in the lake goes down. The group of unicellular microorganisms level is measured in parts per trillion (ppt) and the fertility level is recorded as the percent of eggs fertilized.
Describe the variables and indicate whether each variable is quantitative or categorical.
Q5
New studies suggest that experiences of parents can affect future children: Early life experiences of parents appear to cause permanent changes in sperm and eggs. In one study, some male rats were fed a high-fat diet with 43% of calories from fat with some drops of alcohol in the drinking water, while others were fed a normal healthy rat diet. Not surprising, the rats fed the high-fat food with alcohol were far more likely to develop diabetes than the rats on the normal-diet. What surprised the scientists was that the kids of these rats were also far more likely to develop diabetes than the kids of rats fed healthy diets. None of the kids and none of the mothers ate a high-fat diet with alcohol and fathers did not have any contact with kids. The high-fat diet with alcohol of the fathers appeared to cause negative effects for their kids.
Describe the variables and indicate whether each variable is quantitative or categorical, and indicate the explanatory and response variables. Select the correct variables below.
Q6
The dataset below contains the countries that won the FIFA World Cup more than anybody else.
Brazil – 5 times (1958, 1962, 1970, 1994, 2002) – never won the home World Cup.
Germany – 4 times (1954, 1974, 1990, 2014) – won the home World Cup.
Italy – 4 times (1934, 1938, 1982, 2006) – won the home World Cup.
How many cases are there in this dataset? What are the cases? How many variables are there in this dataset? What are the variables?
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Most Popular Content
3 pages
A Company That Sells Radios Has Yearly Fixed Costs Of
A company that sells radios has yearly fixed costs of $600,000. It costs the company $45 to produce each radio. Each radio ...
A Company That Sells Radios Has Yearly Fixed Costs Of
A company that sells radios has yearly fixed costs of $600,000. It costs the company $45 to produce each radio. Each radio will sell for $65. The ...
Grossmont College Hypothesis Test for A Population Mean Lab Questions
Context
A group of 75 college students from a liberal arts college were randomly sampled and asked about the number of alc ...
Grossmont College Hypothesis Test for A Population Mean Lab Questions
Context
A group of 75 college students from a liberal arts college were randomly sampled and asked about the number of alcoholic drinks they have in a typical week. The file containing the data is linked below. The purpose of this study (Links to an external site.) was to compare the drinking habits of the students at the college to the drinking habits of college students in general. In particular, the dean of students, who initiated this study, would like to check whether the mean number of alcoholic drinks that students at his college have in a typical week differs from the mean of U.S. college students in general, which is estimated to be 4.73.
Variables
The number of alcoholic beverages a student consumes in a week.
Data
Download the drinks (Links to an external site.) data file and then upload the datafile in StatCrunch.
Prompt
The drinks datafile is available in the Data section below.
Let ?? be the mean number of alcoholic beverages that students in the liberal arts college drink in a typical week. State the hypotheses.
Here is a histogram of the data. Can we safely use the t-test with this data? Explain.
Perform the t-test using StatCrunch. (directions)
Copy and paste the information from the StatCrunch output window into your initial post.
Based on the P-value, state your conclusions in context. Use a 5% level of significance.
NOTE: You do not need to double the P-value for this two-tailed test. StatCrunch calculates the P-value for you.
Using the context of this scenario, explain the meaning of each of following items from the StatCrunch output for the hypothesis test.
Std. Err (standard error)
T-stat (T-score)
P-value
statistics quiz #5 working on ALEKS
Please complete a statistics quiz that consists of 5 questions. I will be able to provide my information log on informatio ...
statistics quiz #5 working on ALEKS
Please complete a statistics quiz that consists of 5 questions. I will be able to provide my information log on information to complete. The class is MAT 300, and the quiz is to be completed on ALEKS. If you are familiar with using the ALEKS program, please let me know.
MAT 240 SNHU Relationship BW Selling Price of Properties and Their Sizes Analysis
ScenarioSmart businesses in all industries use data to provide an intuitive
analysis of how they can ge ...
MAT 240 SNHU Relationship BW Selling Price of Properties and Their Sizes Analysis
ScenarioSmart businesses in all industries use data to provide an intuitive
analysis of how they can get a competitive advantage. The real estate
industry heavily uses linear regression to estimate home prices, as cost
of housing is currently the largest expense for most families.
Additionally, in order to help new homeowners and home sellers with
important decisions, real estate professionals need to go beyond showing
property inventory. They need to be well versed in the relationship
between price, square footage, build year, location, and so many other
factors that can help predict the business environment and provide the
best advice to their clients.PromptYou have been recently hired as a junior analyst by D.M. Pan Real
Estate Company. The sales team has tasked you with preparing a report
that examines the relationship between the selling price of properties
and their size in square feet. You have been provided with a Real Estate County Data
document that includes properties sold nationwide in recent years. The
team has asked you to select a region, complete an initial analysis, and
provide the report to the team.Note: In the report you prepare for the sales team,
the response variable (y) should be the median listing price and the
predictor variable (x) should be the median square feet.Specifically you must address the following rubric criteria, using the Module Two Assignment Template:Generate a Representative Sample of the Data
Select a region and generate a simple random sample of 30 from the data.Report the median listing price and median square foot, report the mean, median, and standard deviation.
Analyze Your Sample
Discuss how the regional sample created is or is not reflective of the national market.
Compare and contrast your sample with the population using the National Statistics and Graphs document.
Explain how you have made sure that the sample is random.
Explain your methods to get a truly random sample.
Generate Scatterplot
Create a scatterplot of the x and y variables noted above and include a trend line and the regression equation
Observe patterns
Answer the following questions based on the scatterplot:
Define x and y. Which variable is useful for making predictions?Is there an association between x and y? Describe the association you see in the scatter plot.What do you see as the shape (linear or nonlinear)?If you had a 1,200 square foot house, based on the regression equation in the graph, what price would you choose to list at?Do you see any potential outliers in the scatterplot?
Why do you think the outliers appeared in the scatterplot you generated?What do they represent?
Binomial Distribution and it's Expected Value
Binomial Distribution and it's Expected ValueBinomial Distribution and it's Expected ValueBinomial Distribution and it's E ...
Binomial Distribution and it's Expected Value
Binomial Distribution and it's Expected ValueBinomial Distribution and it's Expected ValueBinomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected ValueBinomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value Binomial Distribution and it's Expected Value
UCLA Categorical Vs Quantitative Data Statistics Exam Practice
Q1
IT Department of an electronic retail company found a new computer virus, which attacks only software of smart microwav ...
UCLA Categorical Vs Quantitative Data Statistics Exam Practice
Q1
IT Department of an electronic retail company found a new computer virus, which attacks only software of smart microwave ovens made by the company. The Sales Department could call back a few batches of ovens and send them to IT guys for testing. Testing indicated version differences: Approximately 10% of the sample of last models were infected, approximately 35% of the sample of one-year-old models were infected, and approximately 50% of the sample of three-year-old models were infected.
Describe the variables and indicate whether each variable is quantitative or categorical.
Q2
A scientist collects data from many people to determine how the age and weight are related. How the data is collected determines whether the variables are quantitative or categorical. Describe how the information might be recorded if we regard both variables as categorical.
Q3
Hybrid electric vehicles is a type of a hybrid vehicle and an electric vehicle that combines the conventional internal combustion engine propulsion system with the electric propulsion system. One study of 4250 car owners in Utah found that 14% had a hybrid car. Besides, the second study measured average gas mileage per gallon in a city and on a highway. Finally, the third study measured the maximum distance without refuel or recharging. In each of three studies, identify the variables and whether each variable is quantitative or categorical.
Q4
In one study, a water sample was taken from various lakes. The data indicate that as the concentration of a large group of unicellular microorganisms in the lake water goes up, the fertility level of fish in the lake goes down. The group of unicellular microorganisms level is measured in parts per trillion (ppt) and the fertility level is recorded as the percent of eggs fertilized.
Describe the variables and indicate whether each variable is quantitative or categorical.
Q5
New studies suggest that experiences of parents can affect future children: Early life experiences of parents appear to cause permanent changes in sperm and eggs. In one study, some male rats were fed a high-fat diet with 43% of calories from fat with some drops of alcohol in the drinking water, while others were fed a normal healthy rat diet. Not surprising, the rats fed the high-fat food with alcohol were far more likely to develop diabetes than the rats on the normal-diet. What surprised the scientists was that the kids of these rats were also far more likely to develop diabetes than the kids of rats fed healthy diets. None of the kids and none of the mothers ate a high-fat diet with alcohol and fathers did not have any contact with kids. The high-fat diet with alcohol of the fathers appeared to cause negative effects for their kids.
Describe the variables and indicate whether each variable is quantitative or categorical, and indicate the explanatory and response variables. Select the correct variables below.
Q6
The dataset below contains the countries that won the FIFA World Cup more than anybody else.
Brazil – 5 times (1958, 1962, 1970, 1994, 2002) – never won the home World Cup.
Germany – 4 times (1954, 1974, 1990, 2014) – won the home World Cup.
Italy – 4 times (1934, 1938, 1982, 2006) – won the home World Cup.
How many cases are there in this dataset? What are the cases? How many variables are there in this dataset? What are the variables?
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