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complete statistics exam module 2 in frequency distribution. About 30 questions.
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NU Time Forecasting Project
Part 1: Short-term Forecasting:
(i) Use a simple line plot of both time series to detect seasonal, irregular, or trend be ...
NU Time Forecasting Project
Part 1: Short-term Forecasting:
(i) Use a simple line plot of both time series to detect seasonal, irregular, or trend behaviors if any.
Write a summary of your observations of both time series in your report.
(ii) Perform exponential smoothing to forecast both prices for period 253. Use successive values of
0.15, 0,36, 0.57, and 0.78 for the smoothing parameter α. Next, calculate the MAPD (Mean
Absolute Percentage Deviation) of each forecast; and based on the MAPDs, determine the value
of α that has yielded the most accurate forecast for each stock. In your report, describe your
results; and explain why in your opinion such values of α have yielded the most accurate
forecasts for the two stocks.
(iii) Use your exponential smoothing forecast of part (ii) with 𝜶=𝟎.56 and perform an adjusted
exponential smoothing to forecast both prices for period 253. Use successive values of 0.15,
0.26, 0.47, and 0.88 for the trend parameters β for both stocks. Next, calculate the MAPEs
(Mean Absolute Percentage Error) of your forecasts and determine the values of β that have
provided the most accurate forecasts for both stocks. In your report, describe your results and
explain why, in your opinion, such values of β have yielded the most accurate forecasts. part 2 (i) For each stock, use a 5-period weighted moving averages to
forecast its value during periods 1 through 100. Use the weights 0.4
(for the most recent period), 0.2 (for the period before the most
recent), 0.2 (for two periods ago), 0.1(for three periods ago) and
0.1(for four periods ago). Next, use the observed value for period
101 as the base of a linear trend, and use that linear trend to forecast
the values of both stocks for periods 101 through 257. Write a
summary of your results in your report. Describe how accurate this
method of forecasting has been by comparing the forecasted values for periods 253-257
with their actual “Close” values on those specific days (Hint: check the actual values on
https://finance.yahoo.com).
(ii) Calculate the MAPEs (Mean Absolute Percentage Error) of your forecasts in question (i)
above and compare them with the values obtained for your forecasts in Part 1. For each
stock, describe which method has yielded a most accurate forecast. part 3For each stock, use simple regression of stock values versus the time periods to predict its
values for periods 1 through 257. In your report, describe how the accuracy of this
prediction has been compared to the methods used in Parts 1 and 2 of this project.
(ii) Perform a residual analysis of your simple regression to verify whether regression is
appropriate to use for each of the given data. In particular, determine:
● Whether the residuals are independent
● Whether the residuals are homoscedastic.
● Whether the residuals are normally distributed by plotting a Normal probability plot of
the residuals
● Whether the residuals are normally distributed by performing a Chi-squared test for
Normality of the residuals.
After completing parts 1-3 and in your report, respond to the following question.
Herzing University Paired T Test Quantitative Decision Making Essay
For this unit’s assignment, you will be performing variable analysis using a t-test. You are required to select type of ...
Herzing University Paired T Test Quantitative Decision Making Essay
For this unit’s assignment, you will be performing variable analysis using a t-test. You are required to select type of t-test, (paired one-sample, two-sample). You will next find available data online, do not collect any data of your own. Some examples of available data online are prices for items, the price for apartments, or use the spreadsheet provided for analysis.
A paired t-test can be used when you are comparing paired items.
For example:
A test taken by the same participants, in two different conditions
Blood pressure taken from the same participants at two different times
Price comparison for two stores, of matching items.
A one-sample t-test can be used to example if the mean of a population is different from a hypothesized value. Comparing the mean of your sample to the known mean.
For example:
Comparing the mean blood pressure for males 55-65 years old who work out at least 5 hours per week to the population mean blood pressure for males 55-65
A two-sample t-test is used to compare two population means are equal or different. It is a comparison of two means.
For example:
The mean price for gas in NY and the mean price for gas in FL
The mean decreases in blood sugar for two different blood sugar medications.
Criteria for using a t-test
If the sample size is less than 15, a t-test is permissible if the sample is roughly symmetric, single peak, and has no outliers.
If the sample size is at least 15, a t-test can be used to omit outliers or strong skewness.
With a larger sample, the t-test can be used even if skewed distribution if the sample is greater than 30, but less than 10% of the population
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1. My research question will be : Is gun ownership independent of a person's political party 2. The null hypothesis will b ...
Categorical Analysis
1. My research question will be : Is gun ownership independent of a person's political party 2. The null hypothesis will be: Gun ownership is ...
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Deliverable 5 Hypothesis Tests For Two Samples
Instructions: The following worksheets describe two problems – the first problem is for independent samples and the seco ...
Deliverable 5 Hypothesis Tests For Two Samples
Instructions: The following worksheets describe two problems – the first problem is for independent samples and the seco is for dependent samples. ...
6 pages
Decision Making In Business
Nike one of the corporation that performs remarkably in the Apparel industry. The company deals with the selling of appare ...
Decision Making In Business
Nike one of the corporation that performs remarkably in the Apparel industry. The company deals with the selling of apparel especially the ones used ...
PUB 550 GCU W4 T Test Application in SPSS Discussion
The purpose of this assignment is to learn how to apply the t-test to a sample dataset.For this assignment, students will ...
PUB 550 GCU W4 T Test Application in SPSS Discussion
The purpose of this assignment is to learn how to apply the t-test to a sample dataset.For this assignment, students will use IBM SPSS Statistics and the "Example Dataset."Using the "Example Dataset" and SPSS, apply the t-test to assess the following statement: "Men and women have different incomes in this city."Show your calculations and copy of the SPSS output in a Word document.In a separate 250-500 Word document, address the following questions:Describe what t-test is the most appropriate and explain why. Discuss whether you used a one-tailed or two-tailed test and explain why.Using SPSS, calculate the t-test and provide the test statistic and critical value assuming an alpha of .05.Calculate the effect size using r2.Interpret the results by (a) stating the reason the study or test was done, (b) presenting the main results, (c) explaining what the results mean, and (d) making suggestions for future research.Submit both Word documents to the instructor.APA style is not required, but solid academic writing is expected.This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.You are not required to submit this assignment to LopesWrite.
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NU Time Forecasting Project
Part 1: Short-term Forecasting:
(i) Use a simple line plot of both time series to detect seasonal, irregular, or trend be ...
NU Time Forecasting Project
Part 1: Short-term Forecasting:
(i) Use a simple line plot of both time series to detect seasonal, irregular, or trend behaviors if any.
Write a summary of your observations of both time series in your report.
(ii) Perform exponential smoothing to forecast both prices for period 253. Use successive values of
0.15, 0,36, 0.57, and 0.78 for the smoothing parameter α. Next, calculate the MAPD (Mean
Absolute Percentage Deviation) of each forecast; and based on the MAPDs, determine the value
of α that has yielded the most accurate forecast for each stock. In your report, describe your
results; and explain why in your opinion such values of α have yielded the most accurate
forecasts for the two stocks.
(iii) Use your exponential smoothing forecast of part (ii) with 𝜶=𝟎.56 and perform an adjusted
exponential smoothing to forecast both prices for period 253. Use successive values of 0.15,
0.26, 0.47, and 0.88 for the trend parameters β for both stocks. Next, calculate the MAPEs
(Mean Absolute Percentage Error) of your forecasts and determine the values of β that have
provided the most accurate forecasts for both stocks. In your report, describe your results and
explain why, in your opinion, such values of β have yielded the most accurate forecasts. part 2 (i) For each stock, use a 5-period weighted moving averages to
forecast its value during periods 1 through 100. Use the weights 0.4
(for the most recent period), 0.2 (for the period before the most
recent), 0.2 (for two periods ago), 0.1(for three periods ago) and
0.1(for four periods ago). Next, use the observed value for period
101 as the base of a linear trend, and use that linear trend to forecast
the values of both stocks for periods 101 through 257. Write a
summary of your results in your report. Describe how accurate this
method of forecasting has been by comparing the forecasted values for periods 253-257
with their actual “Close” values on those specific days (Hint: check the actual values on
https://finance.yahoo.com).
(ii) Calculate the MAPEs (Mean Absolute Percentage Error) of your forecasts in question (i)
above and compare them with the values obtained for your forecasts in Part 1. For each
stock, describe which method has yielded a most accurate forecast. part 3For each stock, use simple regression of stock values versus the time periods to predict its
values for periods 1 through 257. In your report, describe how the accuracy of this
prediction has been compared to the methods used in Parts 1 and 2 of this project.
(ii) Perform a residual analysis of your simple regression to verify whether regression is
appropriate to use for each of the given data. In particular, determine:
● Whether the residuals are independent
● Whether the residuals are homoscedastic.
● Whether the residuals are normally distributed by plotting a Normal probability plot of
the residuals
● Whether the residuals are normally distributed by performing a Chi-squared test for
Normality of the residuals.
After completing parts 1-3 and in your report, respond to the following question.
Herzing University Paired T Test Quantitative Decision Making Essay
For this unit’s assignment, you will be performing variable analysis using a t-test. You are required to select type of ...
Herzing University Paired T Test Quantitative Decision Making Essay
For this unit’s assignment, you will be performing variable analysis using a t-test. You are required to select type of t-test, (paired one-sample, two-sample). You will next find available data online, do not collect any data of your own. Some examples of available data online are prices for items, the price for apartments, or use the spreadsheet provided for analysis.
A paired t-test can be used when you are comparing paired items.
For example:
A test taken by the same participants, in two different conditions
Blood pressure taken from the same participants at two different times
Price comparison for two stores, of matching items.
A one-sample t-test can be used to example if the mean of a population is different from a hypothesized value. Comparing the mean of your sample to the known mean.
For example:
Comparing the mean blood pressure for males 55-65 years old who work out at least 5 hours per week to the population mean blood pressure for males 55-65
A two-sample t-test is used to compare two population means are equal or different. It is a comparison of two means.
For example:
The mean price for gas in NY and the mean price for gas in FL
The mean decreases in blood sugar for two different blood sugar medications.
Criteria for using a t-test
If the sample size is less than 15, a t-test is permissible if the sample is roughly symmetric, single peak, and has no outliers.
If the sample size is at least 15, a t-test can be used to omit outliers or strong skewness.
With a larger sample, the t-test can be used even if skewed distribution if the sample is greater than 30, but less than 10% of the population
1 page
Categorical Analysis
1. My research question will be : Is gun ownership independent of a person's political party 2. The null hypothesis will b ...
Categorical Analysis
1. My research question will be : Is gun ownership independent of a person's political party 2. The null hypothesis will be: Gun ownership is ...
10 pages
Deliverable 5 Hypothesis Tests For Two Samples
Instructions: The following worksheets describe two problems – the first problem is for independent samples and the seco ...
Deliverable 5 Hypothesis Tests For Two Samples
Instructions: The following worksheets describe two problems – the first problem is for independent samples and the seco is for dependent samples. ...
6 pages
Decision Making In Business
Nike one of the corporation that performs remarkably in the Apparel industry. The company deals with the selling of appare ...
Decision Making In Business
Nike one of the corporation that performs remarkably in the Apparel industry. The company deals with the selling of apparel especially the ones used ...
PUB 550 GCU W4 T Test Application in SPSS Discussion
The purpose of this assignment is to learn how to apply the t-test to a sample dataset.For this assignment, students will ...
PUB 550 GCU W4 T Test Application in SPSS Discussion
The purpose of this assignment is to learn how to apply the t-test to a sample dataset.For this assignment, students will use IBM SPSS Statistics and the "Example Dataset."Using the "Example Dataset" and SPSS, apply the t-test to assess the following statement: "Men and women have different incomes in this city."Show your calculations and copy of the SPSS output in a Word document.In a separate 250-500 Word document, address the following questions:Describe what t-test is the most appropriate and explain why. Discuss whether you used a one-tailed or two-tailed test and explain why.Using SPSS, calculate the t-test and provide the test statistic and critical value assuming an alpha of .05.Calculate the effect size using r2.Interpret the results by (a) stating the reason the study or test was done, (b) presenting the main results, (c) explaining what the results mean, and (d) making suggestions for future research.Submit both Word documents to the instructor.APA style is not required, but solid academic writing is expected.This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.You are not required to submit this assignment to LopesWrite.
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