Level of significance is cut off point for p value.
P value is less than Level of significance then we reject the null hypothesis otherwise fail to reject null hypothesis.
In hypothesis testing it is very important to set up Level of significance because hypothesis testing result depends upon level of significance.
Explain what is meant by the “level of significance” and its relationship to hypothesis testing.
QUESTION 4 a) What is meant by critical region and significance level in hypothesis testing? (2 marks) b) A random sample X1, X2...., X, of size n is obtained from a normal distribution with mean, u and variance, 81. We are interested to test Ho : 4 = 100 against H, : x = 104. 1) Show that a best critical region according to Neyman-Pearson lemma is 82c. (8 marks) ii) Find the sample size, n given that the significance...
Explain the influence a level of significance and sample size has on hypothesis testing. Provide an example of the influence and explain how it impacts business decisions.
In hypothesis testing, the level of significance (a) is also known as the size of the rejection region or size of the critical region. True False In a hypothesis test, the probability of obtaining a value of the test statistic equal to or even more extreme than the value observed, given that the null hypothesis is true, is referred to as what? The p-value The level of significance The statistical power What is the requirement for a large sample to...
If a significance level of 0.01 is used in testing the null hypothesis that ? = 0.30 against the alternative that , based on a random sample of size n = 15, then the relevant tabled value is . . . .
You are testing the null hypothesis that there is no relationship between two variables, X and Y. From your sample of n = 22, you determine that SSR = 80 and SSE = 20. Construct the ANOVA table, test for model significance at a 0.05 level of significance and state your conclusion, and calculate the coefficient of determination and interpret its meaning.
Explain what is meant by metabolism and its relationship to the synthesis of body compounds and the production of energy
Q1) Why we sometimes get unexpected results during hypothesis testing? Q2) What is the relationship between level of significance and confidence level? Q3) State the different factors on which sample size depends? Q4) What is the difference between 2 and t test? (5) Draw distribution curve and write hypothesis for the left one tail and right one tail.
Discuss what is meant by Type I and Type II errors in hypothesis testing.
You are testing the null hypothesis that there is no linear relationship between two variables, X and Y. From your sample of n = 10 , you determine that r=0.55 . a. What is the value of t Subscript STATt? b. At the alpha=0.05 level of significance, what are the critical values?
The null hypothesis must be rejected at a 5% level of significance. The null hypothesis must be rejected at a 1% level of significance. The null hypothesis must be rejected at both a 5% and a 1% level of significance. None of the above. same set For a hypothesis testing problem with a given data set, you have rejected the null hypothesis at a 10% level of significance. For the same data set,