Statistics - Evidence to reject Hypothesis or not

Related BrainMass Solutions

• Interpretation of Subjetive Hypothesis without numeric data

  This is because, as students of Statistics, we should remember that if there is insufficient evidence to reject a null hypothesis, it does not mean that the null hypothesis is true (Remember we only fail to reject the null, we never accept it).

• Hypothesis Test for Means

  A There is sufficient evidence to reject the claim population mean is less than or equal to 5 B There is not sufficient evidence to reject the claim population mean is less than or equal to 5 C There is sufficient evidence to support the claim population

• Hypothesis Testing of Mean: P-value Method

  394610 Hypothesis Testing of Mean: P-value Method Use the p value method to determine whether or not to accept or reject the null and alternate hypotheses. 1.

• Statistics - Critical Values

  There is not enough evidence to reject the claim that at least 24% of adults are smokers The expert examines the critical values in statistics.

• Hypothesis testing

  Use a level of significance of  = 0.01 to test to see if you have sufficient evidence to support the claim that the defective rate exceeds 3%. 1. H0 : Ha : 2.  = 3. Test statistics: 4. P-value or critical z0 or t0. 5.

• Statistics - Null Hypothesis

  188912 Statistics - Null Hypothesis.. A man is on trial accused of murder in the first degree. The prosecutor presents evidence that he hopes will convince the jury to reject the hypothesis that the man is innocent.

• Testing Claims Using P-values

  (d) decide whether to reject or fail to reject the null hypothesis. (e) interpret the decision in the context of the original claim. 33.

• Null hypothesis, alternative hypothesis

  There is not enough evidence to reject the claim that 40% of buyers find their real estate agent through a friend. Since -3.86<-1.75, we could reject the null hypothesis. Therefore, c is the right choice.

• Hypothesis Testing for the Mean (Large Samples)

  Test statistics: 4. P-value or critical z0 or t0. Critical value is: z=z0.01=-2.33 5. Rejection Region: {z|z≤-2.33} 6. Decision: we don't reject H0 because the statistic z=-2.26>-2.33 7.