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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The advantage of selecting a sample is that it is less costly and time saving than collecting information from a large group of respondents. The selected sample should therefore‚ have similar characteristics to the population under study to allow generalizability of the results to represent the population (Burns & Grove 2001:365; Polit & Beck 2006:259)
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KEY PERFORMANCE INDICATORS (KPIs) SAMPLES The following sample KPIs are indicative only as a starting point or guideline to assist you to develop your own KPIs. Samples 1 and 2 are for individuals - 3‚ 4 and 5 are for systems and departments. SAMPLE 1 Name/Team: Jean Torrins – Finance Manager Nature of KPI: Recovery of outstanding debtors Definition: The improved collection time of monies owed by debtors Performance Targets: Collect 75% within 45 days and 100% within 60
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selecting a suitable sample‚ or a representative part of a population for the purpose of determining parameters or characteristics of the whole population. REASONS FOR SAMPLING There are six main reasons for sampling instead of doing a census. These are; * Economy * Timeliness * The large size of many populations * Inaccessibility of some of the population * Destructiveness of the observation * Accuracy or Reliability Economy The economic advantage of using a sample in research
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the School-Based Assessment of ONE sample of FIVE candidates who are selected from a ranked list as described at B below. It is recommended that ALL subject teachers preparing candidates for the examination collaborate in (i) setting the assignments‚ criteria and mark schemes (ii) standardizing the marking of the assignments. B. INSTRUCTIONS FOR SELECTING THE SAMPLE (i) After the candidates’ SBA scores have been entered electronically‚ the sample for the Centre will be automatically
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employment goals? Answer: These answers would vary also because my assumptions that the work study would be somewhat helpful for future employment. Respond using the following scale: 1. not at all‚ 2 somewhat‚ 3 very (a) Suppose you take random samples from the following groups: freshmen‚ sophomores‚ juniors‚ and seniors. What kind of sampling technique are you using (simple random‚ stratified‚ systematic‚ cluster‚ multistage‚ convenience)? Answer: For all students I would use the convenience sampling
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paragraphs in length and be written in complete sentences‚ if applicable). Show essential calculations‚ if applicable. 1. Describe the difference between a population and a sample. A population is the total of all the individuals or objects that could be observed or measured. A sample is a subset or portion of a population. Sample should represent the population with fewer but sufficient number of items. One Population can have several
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Numerical Results We asked several survey questions to gain a better understanding of the demographic of our participants. A total of 15 individuals in the CLU MBA program were surveyed: 11 male and 4 females. The ages of the students ranged from 24 to 56 years old‚ with a mean of approximately 34 years of age. Respondents also told us about their annual income which ranged from $5‚000 to $135‚000 with a mean of $62‚500‚ and a standard deviation of $32‚073. Next‚ we determined the type of
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about a population by examining a sample of the population; generalizations about a population from a sample are valid only if the sample is representative of that population. Understand that random sampling tends to produce representative samples and support valid inferences. CCSS.Math.Content.7.SP.A.2 Use data from a random sample to draw inferences about a population with an unknown characteristic of interest. Generate multiple samples (or simulated samples) of the same size to gauge the variation
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determine the percentage of adults who would favor a half-cent increase in the sales tax to help fund public transportation. Four hundred adults are interviewed and 36% of them favor the proposal. Answer the next two questions. 1. The sample size for this sample survey appears to be a) 400 b) 2‚800‚000 c) 144 d) 1‚008‚000 2. The 36% is a a) Parameter b) Margin of error c) Chance of 144 people agreeing to the statement d) Statistic 3. Event A occurs with
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