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# What Makes a Good Hypothesis?

Topic: Hypothesis on
June 16, 2019 / By Letitia
Question: What Makes a Good Hypothesis? Yes/no 1) The hypothesis is based on information contained in the review of literature? 2) The hypothesis includes the independent and dependent variables? 3) You have worded the hypothesis so that it can be tested in the experiment? 4) If you are doing an engineering or programming project, have you established your design criteria?

## Best Answers: What Makes a Good Hypothesis?

Joy | 6 days ago
You are trying to establish criteria for good hypothesis based on these scenerios. I think there can not be firm yes/no answer for any of them. 1. The information contained in review of literature. There can not be a way to judge ALL reviews to be 100% accurate and unbiased or not. 2. Question of variables is again context dependent. We cant know the critical role of each variable in a general approach 3. This is certainly an ESSENTIAL requirement of any hypothesis. Otherwise the theory to be proved can be anything! 4. Design criteria are again essential for any engg project. This is what came to my mind when i looked at your list. If you have any idea about the nature of the problem you can discuss.
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Originally Answered: Test of hypothesis for the mean (population standard deviation unknown) -fundamentals of hypothesis testing?
ANSWER: Conclusion: H1 is true. The average number of days is less than 20. Why???? SINGLE SAMPLE TEST, ONE-TAILED, 6 - Step Procedure for t Distributions, "one-tailed test" Step 1: Determine the hypothesis to be tested. Lower-Tail H0: μ ≥ μ0 H1: μ < μ0 or Upper-Tail H0: μ ≤ μ0 H1: μ > μ0 hypothesis test (lower or upper) = lower Step 2: Determine a planning value for α [level of significance] = 0.05 Step 3: From the sample data determine x-bar, s and n; then compute Standardized Test Statistic: t = (x-bar - μ0)/(s/SQRT(n)) x-bar: Estimate of the Population Mean (statistical mean of the sample) = 43.04 n: number of individuals in the sample = 50 s: sample standard deviation = 41.9 μ0: Population Mean = 20 significant digits = 2 Standardized Test Statistic t = ( 43.04 - 20 )/( 41.9 / SQRT( 50 )) = 3.89 Step 4: Use Students t distribution, 'lookup' the area to the left of t (if lower-tail test) or to the right of t (if upper-tail test) using Students t distribution Table or Excel TDIST(x, n-1 degrees_freedom, 1 tail) =TDIST( 3.89 , 49 , 1 ) Step 5: Area in Step 4 is equal to P value [based on n -1 = 49 df (degrees of freedom)] = 0 Table look-up value shows area under the 49 df curve to the left of t = 3.89 is (approx) probability = 0 Step 6: For P ≥ α, fail to reject H0; and for P < α, reject H0 with 95% confidence. Conclusion: H1 is true Note: level of significance [α] is the maximum level of risk an experimenter is willing to take in making a "reject H0" or "conclude H1" conclusion (i.e. it is the maximum risk in making a Type I error).
Originally Answered: Test of hypothesis for the mean (population standard deviation unknown) -fundamentals of hypothesis testing?
well you simply just leave the question blank and then drop out of university, then marry earl and live on the roof of montannas. JWANNNNNNNNNA.

Originally Answered: How do I determine the decision criterion for rejecting the null hypothesis in the given hypothesis test?