{"id":20286,"date":"2024-04-15T05:50:52","date_gmt":"2024-04-15T05:50:52","guid":{"rendered":"https:\/\/exam.pscnotes.com\/mcq\/?p=20286"},"modified":"2024-04-15T05:50:52","modified_gmt":"2024-04-15T05:50:52","slug":"type-ii-error-in-hypothesis-testing-is-a-acceptance-of-the-null-hypothesis-when-it-is-false-and-should-be-rejected-b-rejection-of-the-null-hypothesis-when-it-is-true-and-should-be-accepted-c-reject","status":"publish","type":"post","link":"https:\/\/exam.pscnotes.com\/mcq\/type-ii-error-in-hypothesis-testing-is-a-acceptance-of-the-null-hypothesis-when-it-is-false-and-should-be-rejected-b-rejection-of-the-null-hypothesis-when-it-is-true-and-should-be-accepted-c-reject\/","title":{"rendered":"Type II error in hypothesis testing is A. acceptance of the null hypothesis when it is false and should be rejected B. rejection of the null hypothesis when it is true and should be accepted C. rejection of the null hypothesis when it is false and should be rejected D. acceptance of the null hypothesis when it is true and should be accepted"},"content":{"rendered":"<p>\r\n    <!-- Check if it's an AMP page -->\r\n            <!-- Non-AMP version -->\r\n        <div class=\"mcq-container\" data-quiz-id=\"quizState_6a9890c9c4742\">\r\n                                            <div class=\"option\" data-option-key=\"option1\" data-is-correct=\"true\">\r\n                    acceptance of the null hypothesis when it is false and should be rejected                <\/div>\r\n                                            <div class=\"option\" data-option-key=\"option2\" data-is-correct=\"false\">\r\n                    rejection of the null hypothesis when it is true and should be accepted                <\/div>\r\n                                            <div class=\"option\" data-option-key=\"option3\" data-is-correct=\"false\">\r\n                    rejection of the null hypothesis when it is false and should be rejected                <\/div>\r\n                                            <div class=\"option\" data-option-key=\"option4\" data-is-correct=\"false\">\r\n                    acceptance of the null hypothesis when it is true and should be accepted                <\/div>\r\n                            \r\n            <!-- Feedback messages for non-AMP -->\r\n            <div class=\"feedback\" data-feedback=\"wrong\">Answer is Right!<\/div>\r\n            <div class=\"feedback\" data-feedback=\"right\">Answer is Wrong!<\/div>\r\n        <\/div>\r\n\r\n        <script>\r\n        document.addEventListener('DOMContentLoaded', function () {\r\n            var containers = document.querySelectorAll('.mcq-container');\r\n\r\n            containers.forEach(function(container) {\r\n                var options = container.querySelectorAll('.option');\r\n                var feedbackSelect = container.querySelector('[data-feedback=\"select\"]');\r\n                var feedbackWrong = container.querySelector('[data-feedback=\"wrong\"]');\r\n                var feedbackRight = container.querySelector('[data-feedback=\"right\"]');\r\n\r\n                options.forEach(function(option) {\r\n                    option.addEventListener('click', function() {\r\n                        var selectedOption = option.getAttribute('data-option-key');\r\n                        var isCorrect = option.getAttribute('data-is-correct') === 'true';\r\n\r\n                        \/\/ Remove previous selections\r\n                        options.forEach(function(opt) {\r\n                            opt.classList.remove('correct', 'incorrect');\r\n                        });\r\n\r\n                        \/\/ Add the correct\/incorrect class\r\n                        if (isCorrect) {\r\n                            option.classList.add('correct');\r\n                            feedbackRight.hidden = false;\r\n                            feedbackWrong.hidden = true;\r\n                        } else {\r\n                            option.classList.add('incorrect');\r\n                            feedbackRight.hidden = true;\r\n                            feedbackWrong.hidden = false;\r\n                        }\r\n\r\n                        \/\/ Hide select feedback\r\n                        feedbackSelect.hidden = true;\r\n                    });\r\n                });\r\n            });\r\n        });\r\n        <\/script>\r\n    \r\n    <!--more--><\/p>\n<p>The correct answer is: A. acceptance of the null hypothesis when it is false and should be rejected.<\/p>\n<p>A type II error is a statistical error that occurs when a researcher fails to reject a false null hypothesis. This means that the researcher concludes that there is no difference between two groups, when in reality there is a difference.<\/p>\n<p>For example, a researcher might be testing the effectiveness of a new drug. The null hypothesis is that the drug does not work. If the researcher fails to reject the null hypothesis, they are concluding that the drug does not work. However, if the drug actually does work, then the researcher has made a type II error.<\/p>\n<p>Type II errors can occur for a number of reasons. One reason is that the sample size is too small. If the sample size is too small, the researcher may not have enough power to detect a difference between the two groups. Another reason for type II errors is that the variability in the data is too high. If the variability is too high, the researcher may not be able to distinguish between a real difference and random variation.<\/p>\n<p>Type II errors can have serious consequences. If a researcher fails to reject a false null hypothesis, they may conclude that there is no difference between two groups when in reality there is a difference. This can lead to the <div class=\"youtube-subscribe-container\">\r\n        <a href=\"https:\/\/www.youtube.com\/channel\/UCNHT8lW-JmLC68rjBfZhdkg?sub_confirmation=1\" target=\"_blank\" class=\"youtube-subscribe-button\">\r\n            <span class=\"youtube-icon\">\r\n                <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 576 512\">\r\n                    <path d=\"M549.7 124.1c-6.3-23.7-24.8-42.3-48.3-48.6C458.8 64 288 64 288 64S117.2 64 74.6 75.5c-23.5 6.3-42 24.9-48.3 48.6-11.4 42.9-11.4 132.3-11.4 132.3s0 89.4 11.4 132.3c6.3 23.7 24.8 41.5 48.3 47.8C117.2 448 288 448 288 448s170.8 0 213.4-11.5c23.5-6.3 42-24.2 48.3-47.8 11.4-42.9 11.4-132.3 11.4-132.3s0-89.4-11.4-132.3zm-317.5 213.5V175.2l142.7 81.2-142.7 81.2z\"\/>\r\n                <\/svg>\r\n            <\/span>\r\n            Subscribe on YouTube\r\n        <\/a>\r\n    <\/div> researcher making a decision that is not in the best interests of the participants in the study.<\/p>\n<p>There are a number of ways to reduce the risk of type II errors. One way is to increase the sample size. Another way is to use a more powerful statistical test. Finally, the researcher can try to reduce the variability in the data.<\/p>\n<p>Here is a brief explanation of each option:<\/p>\n<ul>\n<li>Option A: Acceptance of the null hypothesis when it is false and should be rejected. This is a type II error.<\/li>\n<li>Option B: Rejection of the null hypothesis when it is true and should be accepted. This is a type <div class=\"telegram-channel-container\">\r\n        <a href=\"https:\/\/t.me\/pscnotes2025\" target=\"_blank\" class=\"telegram-channel-button\">\r\n            <span class=\"telegram-icon\">\r\n                <svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 496 512\">\r\n                    <path fill=\"white\" d=\"M248,8C111,8,0,119,0,256s111,248,248,248s248-111,248-248S385,8,248,8z M362,177L320,367c-3,14-10,18-20,14l-56-41l-27,26 c-3,3-5,5-10,5l4-63L323,196c5-5-1-7-8-3l-98,62l-42-13c-9-3-10-9,2-14l162-63C351,160,365,164,362,177z\"\/>\r\n                <\/svg>\r\n            <\/span>\r\n            Join Our Telegram Channel\r\n        <\/a>\r\n    <\/div> I error.<\/li>\n<li>Option C: Rejection of the null hypothesis when it is false and should be rejected. This is correct.<\/li>\n<li>Option D: Acceptance of the null hypothesis when it is true and should be accepted. This is a type I error.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Join Our Telegram Channel Subscribe on YouTube<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[691],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.2 (Yoast SEO v23.3) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Type II error in hypothesis testing is A. acceptance of the null hypothesis when it is false and should be rejected B. rejection of the null hypothesis when it is true and should be accepted C. rejection of the null hypothesis when it is false and should be rejected D. acceptance of the null hypothesis when it is true and should be accepted<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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