12. The hypothesis that an analyst is trying to prove is called forA. ELECTIVE HYPOTHESISB. ALTERNATIVE HYPOTHESISC. OPTIONAL HYPOTHESISD. NULL HYPOTHESIS13. One-way anova is used when.A. Analyzing difference between two or more than two population meanB. Analyzing the results of two tailed testC. Analyzing the results from a large sampleD. Analyzing the difference between two population mean14. The alternative hypothesis is also known as theA. ELECTIVE HYPOTHESISВ. ОРТIONAL HYРОTHESISC. RESEARCH HYPOTHESISD. NULL HYPOTHESIS15. If a teacher is trying to prove that new method of teach math is mre, effective thantraditional one, he/she will conductA. One tailed testB. Two tailed testC. Confidence intervalD. Point estimate of the population parameter 6. The level of significance usually .05 associated with a significance test is theprobabilityA. That the alternative hypothesis is trueB. That the null hypothesis is trueC. Of not rejecting a true null hypothesisD. Of rejecting a true null hypothesis

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Description: 12. The hypothesis that an analyst is trying to prove is called forA. ELECTIVE HYPOTHESISB. ALTERNATIVE HYPOTHESISC. OPTIONAL HYPOTHESISD. NULL HYPOTHESIS13. One-way anova is used when.A. Analyzing difference between two or more than two population

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12. The hypothesis that an analyst is trying to prove is called for A. ELECTIVE HYPOTHESIS B. ALTERNATIVE HYPOTHESIS C. OPTIONAL HYPOTHESIS D. NULL HYPOTHESIS 13. One-way anova is used when A. Analyzing difference between two or more than two population mean B. Analyzing the results of two tailed test C. Analyzing the results from a large sample D. Analyzing the difference between two population mean 14. The alternative hypothesis is also known as the A. ELECTIVE HYPOTHESIS B. OPTIONAL HYPOTHESIS C. RESEARCH HYPOTHESIS D. NULL HYPOTHESIS 15. If a teacher is trying to prove that new method of teach math is me effective than traditional one, he/she will conduct A. One tailed test B. Two tailed test C. Confidence interval D. Point estimate of the population parameter

12. The hypothesis that an analyst is trying to prove is called for A. ELECTIVE HYPOTHESIS B. ALTERNATIVE HYPOTHESIS C. OPTIONAL HYPOTHESIS D. NULL HYPOTHESIS 13. One-way anova is used when A. Analyzing difference between two or more than two population mean B. Analyzing the results of two tailed test C. Analyzing the results from a large sample D. Analyzing the difference between two population mean 14. The alternative hypothesis is also known as the A. ELECTIVE HYPOTHESIS B. OPTIONAL HYPOTHESIS C. RESEARCH HYPOTHESIS D. NULL HYPOTHESIS 15. If a teacher is trying to prove that new method of teach math is me effective than traditional one, he/she will conduct A. One tailed test B. Two tailed test C. Confidence interval D. Point estimate of the population parameter

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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Claim more than 25% of a class is majoring into Nursing (or Nursing-BSN). Test at the 0.5 significance level. Complete the full hypotheses test answering all the questions here. You can use the traditional or p- value method. Sort out the data. 1. What type of test will need to be used? 2. What is the sample size, n, for major? How many business (including business management) majors, X? Use "=counta" instead of "=count" to count qualitative data 3. Hypothesis test . . • Hypotheses • Ho Ha Critical value* ← Test Value (or p-value) Decision *Skip if your using the p-value method. Summary/conclusion 4. Is there a possible type I or type II error? 5. What can you conclude about business majors from this hypothesis test?
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What conditions are necessary in order to use a one-way ANOVA test? Which conditions below are necessary? Select all that apply. □ □ □ A. The sample sizes must be equal. B. Each population must have the same variance. C. There must be at least 3 samples. D. The sample must be randomly selected from the same population. E. The samples must be randomly selected from a normal, or approximately normal, population. F. The samples must be independent of each other.
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