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Objectives
During this computer lab we will perform descriptive and inferentialstatistics on the Spanish electricity market data.In particular we will:
I Compute the summary statistics
I Construct confidence intervals
I Perform tests of hypothesis
Data
Our data set:
I Corresponds to the daily average energy prices of the Spanishelectricity market
I Covers the months of June and July of 2012
I Can be downloaded from ’DataElecMarket12.xlsx’, available on thecourse website (go to Computer lab page) or from the sourcewebsite (see the next two slides)
Downloading the data (i)
• Electricity data isavailable on the OMIE(Operador del MercadoElectrico) website
I Go to:www.omie.es/en/inicio
I Click on:’Market Results’
Downloading the data(ii)
• In ’Scope’, choose’Monthly scope’.Market results include:
I Prices for Spain andPortugal
I Demand
• Choose your month• Click on the Excel iconto save in an Excel format
Changing the language from Spanish to English for themenus in Excel
• If you are running Excel from one of the University machines, it is likelythat its menus are in Spanish. To change the language go to:
I ’File’
I ’Options’
I ’Language’ (change the language from Spanish to English)
I Restart Excel
Note: When using Excel’s functions, you may need to use ”,” instead of”.” and ”;” instead of ”,”.
Data Analysis
• To analyze the data,we will use Excel’sadd-in called ’DataAnalysis’.Make sure it is loaded:
I In the menu ’Data’
I It should appearon the right as’Data Analysis’
Loading ’Data Analysis’ add-in• If ’Data Analysis’ is not available go to:
I ’File’
I ’Options’
I ’Add-ins’
I ’Go...’
I Check & OK
Summarizing the data
• In Excel, we load thedataset’Data marketelec12.xlsx’.• To calculate descriptivestatistics, for June prices,go to:
I ’Data’
I ’Data Analysis’
I ’Descriptive statistics’
I Check ’Summarystatistics’ and’confidence level’
Confidence intervalsfor the population mean
• Summary statisticsinclude:
I Mean, quasi-variance,quasi-standard dev.,median, range, etc
I Half-width of theCI (µX ), tn−1;α/2
sx√n
• To find the confidenceinterval for the mean, do:
I Sample mean ∓half-width
Confidence intervals for the population variance
• Since there is noExcel function, we dothe calculations ’byhand’:
I ’CHIINV(prob,df)’gives the upperquantile in Excel
I The interval (at95% level) is(
(30− 1)s2x
χ230−1;0.025
,(30− 1)s2
x
χ230−1;1−0.025
)
One-sample test for the population mean (i)• Lower-tail test for thepopulation mean (Julyprices)H0 : µJuly ≥ 53.5 vsH1 : µJuly < 53.5• There are severalways of performing thistest.Approach A: By hand,using class formulas
I Get the summarystats
I Calculate the teststatistic
I Find the p-value
One-sample test for the population mean (ii)Approach B: Use Excelfunction ’t-Test: PairedTwo Sample for Means’
I Make n copies ofµ0 to create adummy secondsample
I Perform the test
Approach C: Use Excelfunction ’t-Test:Two-Sample AssumingEqual Variances’
I Make n copies ofµ0 to create adummy secondsample
I Perform the test
Comparing two samples: ratio of variances
• Two-tail test for theratio of June and Julypopulation variancesH0 : σ2
June = σ2July vs
H1 : σ2June 6= σ2
July
I We use Excelfunction ’F-Test:Two Sample forVariances’
I p-value is large,thus we fail toreject the null
Comparing two samples: differences of means
• Two-tail test for thedifference of June andJuly population meansH0 : µJune = µJuly vsH1 : µJune 6= µJuly
I We use Excelfunction ’t-Test:Two SampleAssuming EqualVariances’
I p-value is verysmall, thus wereject the nullhypothesis
Additional exercises (i)
Complete the previous exercises by adding the following parts:
1. State the conclusions
2. Find the confidence intervals (mean and variance) for the July prices
3. Perform a two-sided test for the mean July price
4. Test if, the average price for June is less or equal to the averageprice for July