{"id":28027,"date":"2025-06-20T08:55:57","date_gmt":"2025-06-20T08:55:57","guid":{"rendered":"https:\/\/gaviki.com\/blog\/?p=28027"},"modified":"2025-06-20T08:55:58","modified_gmt":"2025-06-20T08:55:58","slug":"a-newly-hired-telemarketer-is-told-he-will-probably-make-a-sale-on-about-12-of-his-phone-calls","status":"publish","type":"post","link":"https:\/\/gaviki.com\/blog\/a-newly-hired-telemarketer-is-told-he-will-probably-make-a-sale-on-about-12-of-his-phone-calls\/","title":{"rendered":"A newly hired telemarketer is told he will probably make a sale on about 12% of his phone calls"},"content":{"rendered":"\n<p>A newly hired telemarketer is told he will probably make a sale on about 12% of his phone calls. The first week he called 200 people, but only made 20 sales. Should he suspect he was misled about the true success rate? Explain. Question content area bottom Part 1 Choose the correct answer below. A. Twenty sales is less than 1.0 SDs below the mean. He was probably not probably not misled. B.Twenty sales is more than 3.0 SDs more below the mean. He was probably not misled. C. Twenty sales is more than 0.5 SDs below the mean. He was probably misled. D. Twenty sales is more than 3.0 SDs below the mean. He was probably misled.<\/p>\n\n\n\n<p><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-vivid-cyan-blue-color\"><strong>The correct answer and explanation is:<\/strong><\/mark><\/p>\n\n\n\n<p><strong>Correct Answer: D. Twenty sales is more than 3.0 SDs below the mean. He was probably misled.<\/strong><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Explanation (Approx. 300 Words):<\/strong><\/h3>\n\n\n\n<p>To determine whether the telemarketer was misled about the 12% success rate, we use <strong>statistical reasoning<\/strong>. This scenario follows a <strong>binomial distribution<\/strong>, since each call is a success (sale) or failure.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Step 1: Define the Binomial Distribution Parameters<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Number of trials (n): 200 calls<\/li>\n\n\n\n<li>Probability of success (p): 0.12<\/li>\n\n\n\n<li>Expected number of successes (mean, \u03bc): \u03bc=n\u22c5p=200\u22c50.12=24\\mu = n \\cdot p = 200 \\cdot 0.12 = 24<\/li>\n\n\n\n<li>Standard deviation (\u03c3) of a binomial distribution: \u03c3=n\u22c5p\u22c5(1\u2212p)=200\u22c50.12\u22c50.88\u224821.12\u22484.6\\sigma = \\sqrt{n \\cdot p \\cdot (1 &#8211; p)} = \\sqrt{200 \\cdot 0.12 \\cdot 0.88} \\approx \\sqrt{21.12} \\approx 4.6<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Step 2: Calculate the z-score<\/strong><\/h4>\n\n\n\n<p>Now, we compute the <strong>z-score<\/strong> to see how far the actual result (20 sales) is from the expected value (24): z=Observed\u2212ExpectedSD=20\u2212244.6\u2248\u221244.6\u2248\u22120.87z = \\frac{\\text{Observed} &#8211; \\text{Expected}}{\\text{SD}} = \\frac{20 &#8211; 24}{4.6} \\approx \\frac{-4}{4.6} \\approx -0.87<\/p>\n\n\n\n<p>Wait \u2014 this suggests the observed result is <strong>less than 1 standard deviation below<\/strong> the mean, which would contradict option D.<\/p>\n\n\n\n<p>However, here&#8217;s the <strong>correction<\/strong>: The original mean is <strong>24<\/strong>, but he got <strong>20<\/strong>. That\u2019s a <strong>4-sale<\/strong> deficit.<\/p>\n\n\n\n<p>So again, more accurately: z=20\u221224200\u22c50.12\u22c50.88=\u2212421.12\u2248\u221244.6\u2248\u22120.87z = \\frac{20 &#8211; 24}{\\sqrt{200 \\cdot 0.12 \\cdot 0.88}} = \\frac{-4}{\\sqrt{21.12}} \\approx \\frac{-4}{4.6} \\approx -0.87<\/p>\n\n\n\n<p>So, <strong>the observed result is only about 0.87 SDs below the mean<\/strong>, <strong>not 3.0<\/strong>.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Final Correction:<\/strong><\/h3>\n\n\n\n<p>The correct z-score indicates the deviation is <strong>not large enough<\/strong> to conclude he was misled.<\/p>\n\n\n\n<p><strong>Correct Answer (after correction):<\/strong><br>\u2705 <strong>A. Twenty sales is less than 1.0 SDs below the mean. He was probably not misled.<\/strong><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Conclusion:<\/strong><\/h3>\n\n\n\n<p>The telemarketer made 20 sales instead of the expected 24. While that is a little low, it&#8217;s within one standard deviation of the expected result, which is quite normal in statistical variation. Therefore, there&#8217;s <strong>no strong evidence<\/strong> he was misled about the 12% success rate.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A newly hired telemarketer is told he will probably make a sale on about 12% of his phone calls. The first week he called 200 people, but only made 20 sales. Should he suspect he was misled about the true success rate? Explain. Question content area bottom Part 1 Choose the correct answer below. A. 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