M1= 37 SS1=360 n1=11 M2= 43 SS2=576 n2=10 Assume two failed test and alpha= .05 What is the critical value?
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- Heights (cm) and weights (kg) are measured for 100 randomly selected adult males, and range from heights of 130 to 192 cm and weights of 38 to 150 kg. Let the predictor variable x be the first variable given. The 100 paired measurements yield x 167.67 cm. y=81.53 kg. r=0.356, P-value=0.000, and y= -106 +1.14x. Find the best predicted value ofy (weight) given an adult male who is 177 cm tall. Use a 0.05 significance level. The best predicted value of y for an adult male who is 177 cm tall is kg. (Round to two decimal places as needed.)M1= 37 SS1=360 n1=11 M2= 43 SS2=576 n2=10 Assume two failed test and alpha= .05 What is the t value?he personality trait of "Conscientiousness" (someone who is organized, responsible, and can control their impulses) has μ = 120 and σ =9. Test whether ARC students (n = 9, M = 126) differ on Conscientiousness. α = .05. What is the correct result based on the data?
- A manufacturer wants to increase the shelf life of a line of cake mixes. Past records indicate that the average shelf life of the mix is 234 days. After a revised mix has been developed, a sample of nine boxes of cake mix gave these shelf lives (in days): 232,238, 238, 239, 236, 243, 243, 244, and 240. At a = 0.05, the manufacturer wants to test if the shelf life of the cake mix increased. What critical value must be used for this test?H0: μ = 100 Ha: μ ≠ 100 Alpha=0.01, sigma=10, n = 100, x_bar=102 Calculate p-valueMatch each step on the left with the procedure at that step on the right. Step Todo a, calculate p-value b. write conclusion V3 C. compare p-value to alpha 4 d. calculate test statistic e. identify test type and relevant statistic f. write claim symbolically g. write null and alternative hypotheses h. reject or fail to reject null Submit Question * Previous DEC étv 11 MacBook A
- 200 males and 200 females are asked a series of questions to determine whether they are considered heavy drinkers or not. 66 of the males are considered heavy drinkers. 83 of the females are classified as heavy drinkers. Execute a hypothesis test as to whether there is a relationship between gender and drinking at alpha=0.05 USING CHI-SQUARE. State Ho and Ha, calculate the p-value, determine whether you reject Ho and state the conclusion in plain English.Heights (cm) and weights (kg) are measured for 100 randomly selected adult males, and range from heights of 132 to 191 cm and weights of 38 to 150 kg. Let the predictor variable x be the first variable given. The 100 paired measurements yield x = 167.03 cm, y = 81.45 kg, r=0.351, P-value = 0.000, and ŷ = -102 +1.03x. Find the best predicted value of ŷ (weight) given an adult male who is 135 cm tall. Use a 0.05 significance level. The best predicted value of y for an adult male who is 135 cm tall is (Round to two decimal places as needed.) kg.Andrew thinks that people living in a rural environment have a healthier lifestyle than other people. He believes the average lifespan in the USA is 77 years. A random sample of 10 obituaries from newspapers from rural towns in Idaho give x¯=81.4and s=2. Does this sample provide evidence that people living in rural Idaho communities live longer than 77 years? (a) State the null and alternative hypotheses: (Type "mu" for the symbol μμ , e.g. mu >1 for the mean is greater than 1, mu < 1 for the mean is less than 1, mu not = 1 for the mean is not equal to 1)H0 : Ha : (b) Find the test statistic, t = 7,4
- A diet center wanted to test three different methods for losing weight to determine if the average weight loss (reported in pounds/week) for each method is the same. The results for the three methods are tabulated below. Given that there is a significant difference between the three methods, use the Tukey test to determine if there is a significant difference between each pair of methods. Let a=0.05. (picture attached)Heights (cm) and weights (kg) are measured for 100 randomly selected adult males, and range from heights of 13 to 192cm and weights 41 to 150kg. Let the predictor variable x be the first variable given. The 100 paired measurements yieldx=167.40cm, y=81.45kg,r=0.368, P-value=0.000,and y=−103+1.03x.Find the best predicted value of y (weight) given an adult male who is 189cm tall. Use a 0.10 significance level. The best predicted value of y for an adult male who is 189cm tall is ___kg.Heights (cm) and weights (kg) are measured for 100 randomly selected adult males, and range from heights of 137 to 188 cm and weights of 41 to 150 kg. Let the predictor variable x be the first variable given. The 100 paired measurements yield x = 167.60 cm, y = 81.35 kg, r=0.416, P-value = 0.000, and y = - 107 + 1.02x. Find the best predicted value of (weight) given an adult male who is 167 cm tall. Use a 0.10 significance level. .... The best predicted value of y for an adult male who is 167 cm tall is kg. (Round to two decimal places as needed.)