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      <title>AP Stats Math Dictionary by EMILY ZAKKAK</title>
      <link>https://padlet.com/330410/vnnof4s7r3np3m6g</link>
      <description></description>
      <language>en-us</language>
      <pubDate>2020-05-23 22:26:39 UTC</pubDate>
      <lastBuildDate>2024-05-26 00:30:51 UTC</lastBuildDate>
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      <item>
         <title>Z: z-scores</title>
         <author>330410</author>
         <link>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/590790747</link>
         <description><![CDATA[<div>A<strong> z-score</strong>, also known as a standard score, this value will tell you how far away a data point is from the mean. To calculate it, you need the population mean and population standard deviation. Z-scores can range from -3 standard deviations  to 3 standard deviations.</div>]]></description>
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         <pubDate>2020-05-23 22:31:12 UTC</pubDate>
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      <item>
         <title>Y: y-intercept</title>
         <author>330410</author>
         <link>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/590793390</link>
         <description><![CDATA[<div>The<strong> y-intercept</strong> is part of the equation for a regression line(<strong><em>ŷ</em></strong>=a+bx). The y-intercept is the predicted value when x=0.</div>]]></description>
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         <pubDate>2020-05-23 22:37:43 UTC</pubDate>
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      <item>
         <title>X: x-bar(x̄)</title>
         <author>330410</author>
         <link>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/590804430</link>
         <description><![CDATA[<div><strong>X-bar </strong>is a symbol that represents the mean, specifically the sample mean. To find the value of x̄, you must divide the sum of the observations by the sample size (n).</div>]]></description>
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         <pubDate>2020-05-23 23:03:16 UTC</pubDate>
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      <item>
         <title>W: weighted average</title>
         <author>330410</author>
         <link>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/590806678</link>
         <description><![CDATA[<div>A <strong>weighted average </strong>is a way to calculate mean when some numbers in the data set carry more importance (weight) than others.</div>]]></description>
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         <pubDate>2020-05-23 23:09:04 UTC</pubDate>
         <guid>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/590806678</guid>
      </item>
      <item>
         <title>V: variability</title>
         <author>330410</author>
         <link>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/590810357</link>
         <description><![CDATA[<div><strong>Variability</strong> is how much the data set vary from the average value. The most common measures of variability are the range, the interquartile range (IQR), variance, and standard deviation.</div>]]></description>
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         <pubDate>2020-05-23 23:18:57 UTC</pubDate>
         <guid>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/590810357</guid>
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      <item>
         <title>U: undercoverage</title>
         <author>330410</author>
         <link>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/590814745</link>
         <description><![CDATA[<div><strong>Undercoverage</strong> occurs when some groups in the population are left out of the sampling process. This is an example of a sampling error.</div>]]></description>
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         <pubDate>2020-05-23 23:30:24 UTC</pubDate>
         <guid>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/590814745</guid>
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      <item>
         <title>T: test statistic</title>
         <author>330410</author>
         <link>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/590817918</link>
         <description><![CDATA[<div>A <strong>test statistic </strong>is a measurement of  how for a sample statistic varies from the null hypothesis if it were true, in standardized units.</div>]]></description>
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         <pubDate>2020-05-23 23:38:59 UTC</pubDate>
         <guid>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/590817918</guid>
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      <item>
         <title>S: simple random sample</title>
         <author>330410</author>
         <link>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/590821445</link>
         <description><![CDATA[<div>A <strong>simple random sample(SRS) </strong>is a sample taken of <em>n </em>individuals from the population chosen in a way that every individual has an equal chance of being selected.</div>]]></description>
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         <pubDate>2020-05-23 23:48:22 UTC</pubDate>
         <guid>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/590821445</guid>
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      <item>
         <title>R: residual</title>
         <author>330410</author>
         <link>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/590823546</link>
         <description><![CDATA[<div>A <strong>residual</strong> is the difference between an observed value of the response variable and a predicted value from the regression line. <br>residual = observed y - predicted y</div>]]></description>
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         <pubDate>2020-05-23 23:53:16 UTC</pubDate>
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      <item>
         <title>Q: quantitative variables</title>
         <author>330410</author>
         <link>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/592163397</link>
         <description><![CDATA[<div>A <strong>quantitative variable</strong> is  a variable that is represented by numerical values.</div>]]></description>
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         <pubDate>2020-05-25 02:54:08 UTC</pubDate>
         <guid>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/592163397</guid>
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      <item>
         <title>P:  power</title>
         <author>330410</author>
         <link>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/592168671</link>
         <description><![CDATA[<div>The <strong>power</strong> of a test against an alternative is the probability that the test will reject the null hypothesis at a given significance level when the alternative is true.</div>]]></description>
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         <pubDate>2020-05-25 03:02:53 UTC</pubDate>
         <guid>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/592168671</guid>
      </item>
      <item>
         <title>O: observational study</title>
         <author>330410</author>
         <link>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/593716658</link>
         <description><![CDATA[<div>An <strong>observational study</strong> is a study where researchers observe the effect of a risk factor, diagnostic test, treatment or other intervention without trying to change who is or isn't exposed to it.</div>]]></description>
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         <pubDate>2020-05-25 22:33:29 UTC</pubDate>
         <guid>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/593716658</guid>
      </item>
      <item>
         <title>N: normal distribution</title>
         <author>330410</author>
         <link>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/593720506</link>
         <description><![CDATA[<div>A<strong> normal distribution </strong>is described by a normal density curve. It is a symmetric distribution where most of the observations cluster around the central peak and the probabilities for values further away from the mean taper off equally in both directions.  The normal distribution is the most important probability distribution in statistics because it fits many natural phenomena.</div>]]></description>
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         <pubDate>2020-05-25 22:38:51 UTC</pubDate>
         <guid>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/593720506</guid>
      </item>
      <item>
         <title>M: margin of error</title>
         <author>330410</author>
         <link>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/593730719</link>
         <description><![CDATA[<div>A <strong>margin of error</strong> tells you how many percentage points your results will differ from the real population value. For example, a 95% confidence interval with a 4 percent margin of error means that your statistic will be within 4 percent of the real population value 95% of the time.</div>]]></description>
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         <pubDate>2020-05-25 22:53:24 UTC</pubDate>
         <guid>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/593730719</guid>
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      <item>
         <title>L: law of large numbers</title>
         <author>330410</author>
         <link>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/593734199</link>
         <description><![CDATA[<div>The law of large numbers says that when we observe more and more repetitions of a chance process, the proportion of times that a specific outcome occurs approaches a single value.</div>]]></description>
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         <pubDate>2020-05-25 22:58:20 UTC</pubDate>
         <guid>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/593734199</guid>
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      <item>
         <title>J: joint probability</title>
         <author>330410</author>
         <link>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/593741709</link>
         <description><![CDATA[<div>The probability of two events occurring together, for example, <em>A</em> and <em>B.</em></div>]]></description>
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         <pubDate>2020-05-25 23:08:28 UTC</pubDate>
         <guid>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/593741709</guid>
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      <item>
         <title>I: interquartile range</title>
         <author>330410</author>
         <link>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/593743938</link>
         <description><![CDATA[<div>The <strong>interquartile range</strong> (<strong>IQR</strong>) <strong>is</strong> a measure of variability, based on dividing a data set into quartiles. It contains the middle 50% of the dataset. It is calculated by subtracting the first quartile from the third quartile.</div>]]></description>
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         <pubDate>2020-05-25 23:11:19 UTC</pubDate>
         <guid>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/593743938</guid>
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      <item>
         <title>H: histogram</title>
         <author>330410</author>
         <link>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/593746297</link>
         <description><![CDATA[<div>A <strong>histogram</strong> is a graphical display of data using bars of different heights. In a histogram, each bar groups numbers into ranges. Taller bars show that more data falls in that range. A histogram displays the shape and spread of continuous sample data.</div>]]></description>
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         <pubDate>2020-05-25 23:14:40 UTC</pubDate>
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      <item>
         <title>G: geometric setting</title>
         <author>330410</author>
         <link>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/593749099</link>
         <description><![CDATA[<div>A geometric setting occurs when we perform independent trials of the same chance process and record the number of trials until we receive a success.</div>]]></description>
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         <pubDate>2020-05-25 23:18:31 UTC</pubDate>
         <guid>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/593749099</guid>
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      <item>
         <title>F: five-number summary</title>
         <author>330410</author>
         <link>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/593754082</link>
         <description><![CDATA[<div>A <strong>summary</strong> consists of <strong>five</strong> values: the most extreme values in the data set (the maximum and minimum values), the lower and upper quartiles, and the median.</div>]]></description>
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         <pubDate>2020-05-25 23:24:52 UTC</pubDate>
         <guid>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/593754082</guid>
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      <item>
         <title>E: explanatory variable</title>
         <author>330410</author>
         <link>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/593758603</link>
         <description><![CDATA[<div>In those cases, the <strong>explanatory variable</strong> is used to predict or explain differences in the response variable. In an experimental study, the explanatory variable is the variable that is manipulated by the researcher.</div>]]></description>
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         <pubDate>2020-05-25 23:31:02 UTC</pubDate>
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      <item>
         <title>D: dot plot</title>
         <author>330410</author>
         <link>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/593937038</link>
         <description><![CDATA[<div>A dot plot is a graphical display of data using dots. Dot plots are used to display quantitative data. </div>]]></description>
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         <pubDate>2020-05-26 03:10:55 UTC</pubDate>
         <guid>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/593937038</guid>
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      <item>
         <title>C: confounding variable</title>
         <author>330410</author>
         <link>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/593940309</link>
         <description><![CDATA[<div> A confounding variable is an “extra” variable that you didn’t account for. They can ruin an experiment and give you useless results. </div>]]></description>
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         <pubDate>2020-05-26 03:15:51 UTC</pubDate>
         <guid>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/593940309</guid>
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      <item>
         <title>B: bias</title>
         <author>330410</author>
         <link>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/593942323</link>
         <description><![CDATA[<div><strong><em>Bias</em></strong> is the tendency of a statistic to overestimate or underestimate a parameter. <strong><em>Bias</em></strong> can be introduced due to sampling or measurement errors, or unrepresentative samples. </div>]]></description>
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         <pubDate>2020-05-26 03:19:14 UTC</pubDate>
         <guid>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/593942323</guid>
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      <item>
         <title>A: alternative hypothesis</title>
         <author>330410</author>
         <link>https://padlet.com/330410/vnnof4s7r3np3m6g/wish/595954699</link>
         <description><![CDATA[<div>An alternative hypothesis directly contradicts the null hypothesis. </div>]]></description>
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         <pubDate>2020-05-27 01:17:39 UTC</pubDate>
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