Examples of Multiple Choice Question (20 points) 1. A researcher wants to test if beer consumption differs between people dependent on the region of the country they live in. Region is measured as: East/West/North/South. On which scale is ‘region’ measured? a. Independent scale b. Nominal scale c. Ordinal scale d. 4-points Likert scale 2. Suppose your teachers want to test if the average exam grade exceeds 6 significantly. Which test should we use? a. Chi-square
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rise/run‚ y/x B1=2.25 2.25/1 = y/x Every 1 unit 2.25 cents B1=0.3 0.3/1=y/x Slope intercept b0=9.5 Data collection 1) Simple random sampling everyone has equal chance) 2) Stratified random sample (is supposed to be the most precise sampling‚ it doesn’t always work that way) Ex. 2008 election year‚ elected Obama‚ stratified sample it picked Obama as the winner‚ Hilary Clinton 3%‚ ex. 4 men 4 women how? Divide take random sample a cluster sample (save you money when
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Descriptive Statistics 1.1 Descriptive vs. Inferential There are two main branches of statistics: descriptive and inferential. Descriptive statistics is used to say something about a set of information that has been collected only. Inferential statistics is used to make predictions or comparisons about a larger group (a population) using information gathered about a small part of that population. Thus‚ inferential statistics involves generalizing beyond the data‚ something that descriptive
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are measured counted of quantified. This type of data consist of continuos data and discrete data. Continuous data only applies to data that are measured. As for discrete data‚ it only applies for certain fixed values. There are different type of sampling method and there is no specific amount in which the sample size can be calculated. But the more sample you gathered‚ the more accurate the final results of
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a random sample of the students in the cafeteria‚ you need to look at the students in aggregate in the cafeteria‚ and not apply a stratified initial pass/approach (those who order Diet Pepsi with their lunch. Looking at the students in the cafeteria‚ and then applying a distinct subgroup for “Diet Pepsi drinkers” share the same characteristic and have been “stratified. For this reason‚ stratifiying the Diet Pepsi drinkers from the cafeteria population you are eliminating the randomness of the
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100 100% 97 Sampling Technique Stratified Random Sampling was utilized in the study. The technique generally divided total population into two or more strata. For each stratum‚ the sample items were drawn at random. The population had been divided into subgroups (group/strata). The subgroups of where we obtained a representative sample of the population was calculated in percentage in the total population with the used of the stratified sampling technique.
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Copyright 2010 Graham Elliott. All Rights Reserved. Sampling We are now putting all of the pieces together. Considering each observation xi as an outcome from a random variable Xi ‚ we have that functions g(x1 ; x2 ; :::; xn ) are draws from the random variable Pn g(X1 ; X2 ; :::; Xn ): For 120a the function we are interested in is the sample mean — g(x1 ; x2 ; :::; xn ) = n1 i=1 xi : In this chapter we work with this function for distributions with many random variables. 1 From the Text Question
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ST PAULS UNIVERSITY UNIT: ACADEMIC WRITING UNIT: UCC 102 STUDENT NUMBERS: TASK: QUESTION: HOW TO CARRYOUT EFFECTIVE RESEARCH THE MEANING OF RESEARCH Research can be defined as a careful investigation or inquiry especially through search for new facts in any branch of knowledge systematized effort to gain new knowledge. It can be considered a movement from the known to the unknown. it comprises defining and redefining problems
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asking about stress being a good influence in people. In this chapter‚ it requires gathering relevant data from the specified population and compiling samples to analyze and arrive at a more complete understanding of the research study. Stratified random sampling is used in distributing the survey questionnaires and the sample will be taken from the high school body since the researcher is a high school student with 100 samples as the number of required respondents. In the whole high school body
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and the applicable test group or inquiry techniques for our quantitative design. We will do so by making contact to the people to be tested or questioned along with collecting data or qualitative information. We will use sampling methods‚ sampling frames and the appropriate sampling size to determine the qualitative methods. Team B will draw a conclusion by doing a statistical test in order to test the hypothesis. Our team will use surveys as our instrument to collect our qualitative data which will
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