Guías de estudio, Notas de estudios & Resúmenes

Stage One: Clarify the Research Question Identify and Prioritize Management Dilemma(s) -Cross-reference Key Performance Indicators Exploration -Define plausible management actions to address dilemma(s) Value and Budget of Research Stage Two: Design the Research Project Data -Primary, Secondary, Nominal, Ordinal, Interval, Ratio -Characteristics: Abstractness, Verifiability, Elusiveness, . Truthfulness. Data Collection Design -Reference Research Techniques Sampling...

Analytics is the scientific process of transforming data for decision making. There are three broad areas of data analytics. Descriptive Analytics which describes what has happened in the past. Predictive Analytics uses statistical models from past data to predict the future [forecasting] or assess the impact of one variable on another [inference]. Prescriptive Analytics uses models seeking to find a best (optimal) solution. Often these are some type of optimization mode...

frequency formula =countif(range,criteria) percent frequency formula =(frequency cell)/sum(range) you need frequency and the total frequencies relative frequency =(frequency cell)/(total cell) you need the frequency and the total Histogram a visual display of a frequency, relative frequency, or percent frequency distribution. Var of interest is on the horizontal axis and frequencies are on the vertical axis. average/mean formula =average(range) Media...

Autocorrelation Correlation in the errors that arises when the error terms at successive points in time are related. Durbin-Watson test A test to determine whether first-order autocorrelation is present. General linear model A model of the form y=β0+β1z1+β2z2+⋯+βpzp+ε, where each of the independent variables zj(j=1,2,...,p) is a function of x1,x2,...,xk, the variables for which data have been collected. interaction The effect produced when the levels of one factor...

In a multiple regression model, the value of the error term,E, are assumes to be independent of each other In regression analysis, the response variable is the dependent variable A measure of goodness of fit for the estimated regression equation is the Multiple coefficient of determination The difference between the observed value of the dependent variable and the value predicted by using the estimated regression equation is the residual the variable that cannot b...

n Which of the following symbols represents the size of a sample? 8 The variance of a sample of 81 observations is 64. The standard deviation of the sample is which of the following? computed by summing all the data values and dividing the sum by the number of items The mean of a sample is VAR.S Excel's _____ function can be used to compute the sample variance. μ Which of the following symbols represents the mean of a population? median The measure of c...

QMB 3200 Test #2 UCF questions and answers 2024

The central limit theorem is important in Statistics because it: enables reasonably accurate probabilities to be determined for events involving the sample average when the sample size is large regardless of the distribution of the variable. A simple random sample of size n from an infinite population of size N is to be selected. Each possible sample should have: the same probability of being selected. The distribution of values taken by a statistic in all possible samples of the...

Data the facts & figures collected, analyzed, and summarized for presentation and interpretation Dataset all the data collected for a particular analysis Element the entity on which data is collected Variable a characteristic of interest of an element Observation the variables associated with an individual element Categorical use numeric or ordinal values of measurement of categories Quantitative use numeric (quantitative) measures The type...

If an interval estimate is said to be constructed at the 90% confidence level, the confidence coefficient would be _____. 0.9 (90%) The mean of the t distribution is _____. zero (0) The use of the normal probability distribution as an approximation of the sampling distribution of p̄ is based on the condition that both np and n(1 - p) equal or exceed _____. Five (5) We can reduce the margin of error in an interval estimate of p by doing any of the following EXCEPT _____. ...