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Statistics - Analysis of a Unique Data Set - Report Writing Assessment Answer
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You need to submit discussion of your dataset as a word file, You also need to submit an excel file that shows you can summarize the dataset without using the automatic dataset summarizer and p-value calculator.
Instructions explaining how to discuss the dataset in a word file
a) Use the automatic dataset summarizer to make a summary that lets you investigate the relationship between the variables “Which region?” and “How much would they pay for version 1?”. Paste the summary into the word file. Briefly comment on the relationship between the variables.
b) Use the automatic dataset summarizer to make a graph that lets you investigate the relationship between the variables “How much they would pay for version 1” and “How much would they pay for version 2” and paste it into the word file. Briefly comment on the relationship between the variables.
c) Use the automatic dataset summarizer to make a summary that lets you investigate the relationship between the variables “Which region?” and “would you pay more for version 1” and paste the summary into the word file. Briefly comment on the relationship between the variables.
d) Find a 95% confidence interval for the variable “would you pay more for version 1”
e) Find the test stat for testing the claim that people would pay more than $1000 for version 1 on average. This is the same as finding the score for the sample mean if you assume the population mean is 1000 and the population standard deviation is the same as the sample standard deviation. To this question you need to find the sample size, mean and standard deviation of the variable “how much would you pay for version 1”, This is not difficult you can either use the =count(), =average() and =stdev() command, you would also get the relevant information when you do part (b) of the excel task.
f) Test the claim there is a relationship between the variables “Which region?” and “How much would they pay for version 1?”. Use the automatic dataset summarizer to get the p-value. Interpret the p-value in simple terms. You are not required to discuss H0 and H1.
g) Test the claim there is a relationship between the variables “Which region?” and “Would they pay more for version 1?”. Use the automatic dataset summarizer to get the p-value. Use the automatic dataset summarizer to get the p-value. Interpret the p-value in simple terms you are not required to discuss H0 and H1.
h) Briefly describe some other variables that could be used in a dataset if you wanted to help a business that makes laptops and explain why the variables would be useful.
i) Briefly describe what is meant by the phrase “lurking variables” and explain why it is important to
consider lurking variables when writing a report.
j) Briefly describe how you would make a report that uses the information from at least 5 of the previous parts of the assignment, the previous parts of the assignment are parts (a),(b),(c),(d),(e),(f),(g),(h),(i) given above
Background and data set
In Australia there are many women only gyms and since Gym Business XYZ has been successful enough to expand into a small new premises customers were given a survey to determine if the new gym should be a unisex gym.
A sample of 100 customers were given the following survey
Survey question 1: Are you male or female?
This question should be thought of a is a categorical variable, because the answer is one of the categories “male” or “female”
Survey question 2: Would you prefer if the gym was unisex in other words
if you are man would you prefer a gym with only men, yes or no?
if you are woman would you prefer a gym with only women, yes or no?
This question should be thought of a is a categorical variable, because the answer is one of 2 categories
Survey question 3: How much time do you spend on the cardio machine (in minutes)?
This question should be thought of as a Quantitative variable because it records the quantity
(amount) of time spent on the machine
Survey question 4: How much time do you spend on the weight machine (in minutes)?
This question should be thought of as a Quantitative variable because it records the quantity (amount) of time spent on the weight machine
Statistics - Analysis of a Unique Data Set - Report Writing Assessment Answer
Assignment Task:You need to submit discussion of your dataset as a word file, You also need to submit an excel file that shows you can summarize the dataset without using the automatic dataset summarizer and p-value calculator.
Instructions explaining how to discuss the dataset in a word file
a) Use the automatic dataset summarizer to make a summary that lets you investigate the relationship between the variables “Which region?” and “How much would they pay for version 1?”. Paste the summary into the word file. Briefly comment on the relationship between the variables.
b) Use the automatic dataset summarizer to make a graph that lets you investigate the relationship between the variables “How much they would pay for version 1” and “How much would they pay for version 2” and paste it into the word file. Briefly comment on the relationship between the variables.
c) Use the automatic dataset summarizer to make a summary that lets you investigate the relationship between the variables “Which region?” and “would you pay more for version 1” and paste the summary into the word file. Briefly comment on the relationship between the variables.
d) Find a 95% confidence interval for the variable “would you pay more for version 1”
e) Find the test stat for testing the claim that people would pay more than $1000 for version 1 on average. This is the same as finding the score for the sample mean if you assume the population mean is 1000 and the population standard deviation is the same as the sample standard deviation. To this question you need to find the sample size, mean and standard deviation of the variable “how much would you pay for version 1”, This is not difficult you can either use the =count(), =average() and =stdev() command, you would also get the relevant information when you do part (b) of the excel task.
f) Test the claim there is a relationship between the variables “Which region?” and “How much would they pay for version 1?”. Use the automatic dataset summarizer to get the p-value. Interpret the p-value in simple terms. You are not required to discuss H0 and H1.
g) Test the claim there is a relationship between the variables “Which region?” and “Would they pay more for version 1?”. Use the automatic dataset summarizer to get the p-value. Use the automatic dataset summarizer to get the p-value. Interpret the p-value in simple terms you are not required to discuss H0 and H1.
h) Briefly describe some other variables that could be used in a dataset if you wanted to help a business that makes laptops and explain why the variables would be useful.
i) Briefly describe what is meant by the phrase “lurking variables” and explain why it is important to
consider lurking variables when writing a report.
j) Briefly describe how you would make a report that uses the information from at least 5 of the previous parts of the assignment, the previous parts of the assignment are parts (a),(b),(c),(d),(e),(f),(g),(h),(i) given above
Background and data set
In Australia there are many women only gyms and since Gym Business XYZ has been successful enough to expand into a small new premises customers were given a survey to determine if the new gym should be a unisex gym.
A sample of 100 customers were given the following survey
Survey question 1: Are you male or female?
This question should be thought of a is a categorical variable, because the answer is one of the categories “male” or “female”
Survey question 2: Would you prefer if the gym was unisex in other words
if you are man would you prefer a gym with only men, yes or no?
if you are woman would you prefer a gym with only women, yes or no?
This question should be thought of a is a categorical variable, because the answer is one of 2 categories
Survey question 3: How much time do you spend on the cardio machine (in minutes)?
This question should be thought of as a Quantitative variable because it records the quantity
(amount) of time spent on the machine
Survey question 4: How much time do you spend on the weight machine (in minutes)?
This question should be thought of as a Quantitative variable because it records the quantity (amount) of time spent on the weight machine
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