If α = 0.12, and β = 0.15, complete the following questions by
inserting the appropriate probability of each. (Response
must be in decimal form) (Use these values for
this question only)
The statistical decision is to reject the null, and H0
is really true (i.e., a Type I error)
Ans.
The statistical decision is to reject the null, and H0 is really true (i.e., a Type I error)
The value is (Type I Error)
If α = 0.12, and β = 0.15, complete the following questions by inserting the appropriate...
If α = 0.16, and β = 0.19, complete the following questions by inserting the appropriate probability of each. (Response must be in decimal form) (Use these values for this question only) The statistical decision is to fail to reject null, and H0 is really true (i.e., a correct decision)
If α = 0.16, and β = 0.17, complete the following questions by inserting the appropriate probability of each. (Response must be in decimal form) (Use these values for this question only) The statistical decision is to reject the null, and H0 is really false (i.e., Power)
If α = 0.19, and β = 0.16, complete the following questions by inserting the appropriate probability of each. (Response must be in decimal form) (Use these values for this question only) The statistical decision is to reject the null, and H0 is really false (i.e., Power)
Table 4 Regression Model Y = α X1 + β X2 Parameter Estimates Coefficient Standard Error Constant 12.924 4.425 X1 -3.682 2.630 X2 45.216 12.560 Analysis of Variance Source of Degrees Sum of Mean Variation of Freedom Squares Square F Regression XXX 4,853 2,426.5 XXX Error XXX 485.3 Find above partial statistical output...
Suppose you want to test the following hypotheses: H0: p ≥ 0.4 vs. H1: p < 0.4. A random sample of 1000 observations was taken from the population. Answer the following questions and show your Excel calculation for each question clearly: (a) Let p ̂ be the sample proportion. What is the standard error of sample proportion (i.e., σ_p ̂ ) if H0 is true? (b) If the sample proportion obtained were 0.38 (i.e., p ̂=0.38), what is its p-value?...
You read that a statistical test at the α=0.01 level has probability 0.14 of making a Type II error when a specific alternative is true. What is the power of the test against this alternative? Suppose we tested the null hypothesis that the weight of a McDonald's quarter pounder is 0.25 pounds (H0 : µ = 0.25) against the alternative that the weight is below 0.25 pounds (Ha : µ < 0.25). After collecting a sample our observed z statistic...
You read that a statistical test at the α=0.01 level has probability 0.14 of making a Type II error when a specific alternative is true. What is the power of the test against this alternative? Suppose we tested the null hypothesis that the weight of a McDonald's quarter pounder is 0.25 pounds (H0 : µ = 0.25) against the alternative that the weight is below 0.25 pounds (Ha : µ < 0.25). After collecting a sample our observed z statistic...
Please help me get the right values, I cannot figure it out. Please show your work. A statistical program is recommended The following observations are on stopping distance (ft) of a particular truck at 20 mph under specified experimental conditions 32.1 30.8 31.7 30.4 31.0 31.9 The report states that under these conditions, the maximum alowable stopping distance is 30. A normal probability plot validates the assumption that stopping distance is normally distributecd. (a) Does the data suggest that true...
A statistical program is recommended The following observations are on stopping distance (ft) of a particular truck at 20 mph under specified experimental conditions 32.1 30.7 31.4 30.4 31.0 31.9 The report states that under these conditions, the maximum allowable stopping distance is 30. A normal probability plot validates the assumption that stopping distance is normally distributed (a) Does the data suggest that true average stopping distance exceeds this maximum value? Test the appropriate hypotheses using α = 0.01 State...
For the 2 questions below, circle the word(s) that complete the sentence correctly. a. (A type I error / A type II error / Power) is defined to be the probability of rejecting H0 when Ha is true. b. When you perform a hypothesis test the (null / alternative) hypothesis is assumed to be true.