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      <title>108SAM Quantitative Methods for Business by Maria Correia</title>
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      <language>en-us</language>
      <pubDate>2020-02-26 22:27:42 UTC</pubDate>
      <lastBuildDate>2023-04-19 10:53:01 UTC</lastBuildDate>
      <webMaster>hello@padlet.com</webMaster>
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         <title>Normal Distribution</title>
         <author>ac4384</author>
         <link>https://padlet.com/ac4384/mcajfe07pvgd/wish/451088757</link>
         <description><![CDATA[<div>For business, many continuous variables used in decision making have distributions that closely resemble the normal distribution. The<strong> normal distribution</strong> <strong>can be used to</strong> <strong>estimate </strong>values for such variables, specifically, <strong>the probability that values occur within a specific range or interval</strong>.</div>]]></description>
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         <pubDate>2020-02-26 22:30:50 UTC</pubDate>
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         <title>Video &#39;Introduce the normal distribution&#39; (3:50m)</title>
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         <pubDate>2020-02-26 22:37:24 UTC</pubDate>
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         <title>Chapter 6: The Normal Distribution </title>
         <author>ac4384</author>
         <link>https://padlet.com/ac4384/mcajfe07pvgd/wish/451092384</link>
         <description><![CDATA[<div>(Berenson <em>et al</em>., 2020, pp. 446-455)</div>]]></description>
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         <pubDate>2020-02-26 22:43:14 UTC</pubDate>
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         <title>Video &#39;The normal distribution is everywhere&#39; (2:53m)</title>
         <author>ac4384</author>
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         <pubDate>2020-02-26 22:56:15 UTC</pubDate>
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         <title>Please, add your posts!... anywhere @ this wall</title>
         <author>ac4384</author>
         <link>https://padlet.com/ac4384/mcajfe07pvgd/wish/451097643</link>
         <description><![CDATA[<div>questions, tips, etc.</div>]]></description>
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         <pubDate>2020-02-26 22:59:42 UTC</pubDate>
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      <item>
         <title>Core book &quot;Statistics for Business and Economics: Global Edition&quot;</title>
         <author>ac4384</author>
         <link>https://padlet.com/ac4384/mcajfe07pvgd/wish/451100213</link>
         <description><![CDATA[<div>"The normal distribution closely approximates the probability distributions of a wide range of random variables. </div><ul><li>For example, the dimensions of parts and the weights of food packages often follow a normal distribution. This leads to quality-control applications. </li><li>Total sales or production often follows a normal distribution, which leads us to a large family of applications in marketing and in production management. </li><li>The patterns of stock and bond prices are often modeled using the normal distribution in large computer-based financial trading models.” (Newbold <em>et a</em>l., p.206)</li></ul><div><br></div>]]></description>
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         <pubDate>2020-02-26 23:09:43 UTC</pubDate>
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      <item>
         <title>z-score</title>
         <author>ac4384</author>
         <link>https://padlet.com/ac4384/mcajfe07pvgd/wish/451106362</link>
         <description><![CDATA[<div>A z-score is a standardized value that<strong> indicates the number of standard deviations a value is from the mean</strong>. A z-score greater than zero indicates that the value is greater than the mean; a z-score less than zero indicates that the value is less than the mean; and a z-score of zero indicates that the value is equal to the mean (Newbold <em>et al</em>., p.77)</div>]]></description>
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         <pubDate>2020-02-26 23:26:40 UTC</pubDate>
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      <item>
         <title>Z score formula</title>
         <author>ac4384</author>
         <link>https://padlet.com/ac4384/mcajfe07pvgd/wish/451716191</link>
         <description><![CDATA[<div>The standardized variable, Z, always has mean μ=0 and standard deviation σ=1 (Berenson <em>et.al</em>, 2020, p. 448)</div>]]></description>
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         <pubDate>2020-02-27 22:28:40 UTC</pubDate>
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         <title>Video &quot;Normal distribution&quot; (2:21m)</title>
         <author>ac4384</author>
         <link>https://padlet.com/ac4384/mcajfe07pvgd/wish/451734389</link>
         <description><![CDATA[<div>(LinkedIn Learning, 2020)</div>]]></description>
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         <pubDate>2020-02-27 23:27:30 UTC</pubDate>
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         <title>Video &quot;The Normal Distribution&quot; (2:45m)</title>
         <author>ac4384</author>
         <link>https://padlet.com/ac4384/mcajfe07pvgd/wish/451736704</link>
         <description><![CDATA[<div>(365 Data Science, 2017)</div>]]></description>
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         <pubDate>2020-02-27 23:36:20 UTC</pubDate>
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         <title>Video &quot;Estimating costs and time&quot; (7:41m)</title>
         <author>ac4384</author>
         <link>https://padlet.com/ac4384/mcajfe07pvgd/wish/451865640</link>
         <description><![CDATA[<div>(LinkedIn Learning, 2014)</div>]]></description>
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         <pubDate>2020-02-28 09:00:11 UTC</pubDate>
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         <title>TYPES OF SAMPLING</title>
         <author>ac4384</author>
         <link>https://padlet.com/ac4384/mcajfe07pvgd/wish/456227678</link>
         <description><![CDATA[<div><strong>NON-PROBABILITY Samples</strong></div><ul><li>Judgment sample</li><li>Convenience sample (or opportunity sample)</li></ul><div><strong>PROBABILITY Samples</strong></div><ul><li><strong><mark>Simple Random</mark></strong><mark> sample</mark> - In a simple random sample, every item from a frame has the same chance of selection as every other item, and every sample of a fixed size has the same chance of selection as every other sample of that size. </li><li><strong>Systematic </strong>sample - In a systematic sample, you partition the N items in the frame into n groups of k items.</li><li><strong><em>Stratified Random</em></strong><em> sample</em> - In a stratified sample, you first subdivide the N items in the frame into separate subpopulations, or strata. A stratum is defined by some common characteristic, such as gender or year in school. (HOMOGENEOUS)</li><li><strong><em>Cluster</em></strong><em> sample</em> - In a cluster sample, you divide the N items in the frame into clusters that contain several items. Clusters are often naturally occurring groups, such as counties, election districts, city blocks, households, or sales territories. (HETEROGENEOUS)</li></ul>]]></description>
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         <pubDate>2020-03-07 13:54:41 UTC</pubDate>
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         <title>&quot;Understanding different sampling methods&quot; (McCombes, 2019)</title>
         <author>ac4384</author>
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         <pubDate>2020-03-07 13:59:49 UTC</pubDate>
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         <title>Types of probability sample</title>
         <author>ac4384</author>
         <link>https://padlet.com/ac4384/mcajfe07pvgd/wish/456228853</link>
         <description><![CDATA[<div>(McCombes, 2019)</div>]]></description>
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         <pubDate>2020-03-07 14:02:12 UTC</pubDate>
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         <title>Video &quot;Hypothesis testing basics&quot; (6:00)</title>
         <author>ac4384</author>
         <link>https://padlet.com/ac4384/mcajfe07pvgd/wish/456231395</link>
         <description><![CDATA[<div>(Chua, 2017)</div>]]></description>
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         <pubDate>2020-03-07 14:17:08 UTC</pubDate>
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         <title>Video &quot;Sampling in data collection&quot; (4:50)</title>
         <author>ac4384</author>
         <link>https://padlet.com/ac4384/mcajfe07pvgd/wish/456231901</link>
         <description><![CDATA[<div>(Chua, 2017)</div>]]></description>
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         <pubDate>2020-03-07 14:20:05 UTC</pubDate>
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      <item>
         <title>Key concepts - Sampling</title>
         <author>ac4384</author>
         <link>https://padlet.com/ac4384/mcajfe07pvgd/wish/456235391</link>
         <description><![CDATA[<div>POPULATION - Group of people, communities, or organizations studied. Includes all possible objects of study.<br><br>SAMPLE - Part of the population. Reduced down to manageable size. Ideally, we would want to draw a sample that is representative of the population in terms of certain key characteristics (for example, gender and age).<br><br>SAMPLING FRAME - List of people/organizations etc. in the population who can be chosen for participation in the study. Most sampling frames do not include all people in the population (example – phone book). i.e. The FRAME is a complete or partial listing of the items that make up the population from which the sample will be selected.</div>]]></description>
         <enclosure url="" />
         <pubDate>2020-03-07 14:39:21 UTC</pubDate>
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         <title>Video &quot;Alternative to random samples&quot; (4:42)</title>
         <author>ac4384</author>
         <link>https://padlet.com/ac4384/mcajfe07pvgd/wish/456261634</link>
         <description><![CDATA[<div>(Davila, 2016)</div>]]></description>
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         <pubDate>2020-03-07 16:37:08 UTC</pubDate>
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         <title>What is a Critical Value? (7:25)</title>
         <author>ac4384</author>
         <link>https://padlet.com/ac4384/mcajfe07pvgd/wish/462413325</link>
         <description><![CDATA[<div>α indicates the level of significance</div>]]></description>
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         <pubDate>2020-03-16 22:16:39 UTC</pubDate>
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         <title>What is a p-value? (5:43)</title>
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         <description><![CDATA[<div>Is the measure of the strength of evidence against the null hypothesis.<br>P-value is called the observed level of significance.</div><div>The <strong>p-value</strong> is <strong>the smallest value of α for which H0 can be rejected</strong>.<br><a href="https://www.youtube.com/watch?v=lm_CagZXcv8">The <strong>smaller</strong> the P-value the <strong>stronger the evidence against H0</strong></a></div>]]></description>
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         <pubDate>2020-03-16 22:21:31 UTC</pubDate>
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         <title>Finding Critical Path (6:56) </title>
         <author>ac4384</author>
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         <description><![CDATA[<div>by Joshua Emmanuel </div>]]></description>
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         <pubDate>2020-03-19 21:42:57 UTC</pubDate>
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         <title>How to draw a CPM network diagram (4:14) </title>
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         <description><![CDATA[<div>by Engineer4Free </div>]]></description>
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         <pubDate>2020-03-19 21:44:27 UTC</pubDate>
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         <pubDate>2020-04-01 18:41:04 UTC</pubDate>
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         <pubDate>2020-04-01 18:43:37 UTC</pubDate>
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