#How to perform statistical analysis in excel series#The spectral representation of a time series Xt, (t=1,…,n), decomposes Xt into a sum of sinusoidal components with uncorrelated random coefficients. Spectral analysis is a very general method used in a variety of domains. By studying the spectral density, seasonal components and/or noise can be identified. It is then possible to build representations such as the periodogram or the spectral density, and to test if the series is stationary. The magnitude and phase can be extracted from the coordinates. Spectral analysis allows transforming a time series (time signal) into its coordinates in the space of frequencies, and then to analyze its characteristics in this space. Select date data and run the analysis for one to several time series.Display the spectral density and the periodogram.Calculate the cross spectrum (quadrature spectrum.Estimate the spectral density by choosing one of several kernel types.Test if your time series (signal) is a white noise.XLSTAT provides a complete Spectral analysis feature, which enables several options that will let you gain a deep insight on your data: 270 180 188 175 251 206 194 180 315 262 239 304 180 294 204 254 Days 2 4 2.) Perform GROUPED data statistical analysis using EXCEL with 11 class intervals on the same data set for the previous number and calculate the following a.) Mean, Median and Mode, b.) Varriance and Standard Deviation.Spectral analysis is a powerful time series analysis method that lets you describe your data that is in the time domain, in the frequency domain. Using simple linear regression in EXCEL, a.) Calculate for the regression line, b.) Predict the next 3 data points and make a preliminary conclusion for the trend you are observing lastly, c.) Make a scatter plot of the data with the regression line. (Attach the photograph of your MANUALLY WRITTEN solution in the space provided) 3.) You also want to know if there is a relationship between the number of days the college students have been playing the online game and how much money they spent for it on average. Using UNGROUPED statistical analysis, calculate the followig: a.) Mean, Median and Mode, b.) Varriance and Standard Deviation. Here is a sample output for number 3: Days Line Fit Plot Chart Title. Using simple linear regression in EXCEL a.) Calculate for the regression line, b.) Predict the next 3 data points and make a preliminary conclusion for the trend you are observing lastly, C.) Make a scatter plot of the data with the regression line. (Attach the EXCEL SPREADSHEET in the space provided) 3.) You also want to know if there is a relationship between the number of days the college students have been playing the online game and how much money they spent for it on average. Transcribed image text: 2.) Perform GROUPED data statistical analysis using EXCEL with 11 class intervals on the same data set for the previous number and calculate the following a.) Mean, Median and Mode, b.) Variance and Standard Deviation.
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