QUESTION 19 "An independent samples study exhibted the following sample characteristics: Sample 1, n = 16 with a sum of squared Sample 2, n = 19 with a sum of squared deviations (SS2) = 310.1. Calculate the estimated standard error of differences samples. (Be sure to round to the second decimal place)" deviations (SS1)=293.5. between means for these

QUESTION 20 "Calculate the pooled variance for the following samples: Sample 1, n - 13 with a sample variance - 66.9. Sample 2, n-15 with a sample variance = 65.8. (Be sure to round answer to second decimal place)."

Question 6 Ho Select an answer 0² The mean age when smokers first start is 13 years old with a population standard deviation of 2 years. A researcher thinks tha: smoking age has significantly changed since the invention of ENDS-electronic nicotine delivery systems. A survey of smokers of this generation was done to see if the mean age has changed. The sample of 34 smokers found that their mean starting age was 12.3 years old. Do the data support the claim at the 10% significance level? What are the correct hypotheses? Н1 Ba Te HD SIX P s² Critical Values = ± years years find the following: (Give answer to at least 4 decimal places) (Give answer to at least 4 decimal places) Based on the above we choose to Select an answer The correct summary would be: Select an answer mean age smokers first start is different than 13. that the claim that the

QUESTION 42 "Calculate the pooled variance for the following samples: Sample 1, n = 40 with a sample variance = 84.3. Sample 2, n = 42 with a sample variance = 79. (Be sure to round answer to second decimal place)."

Question 5 The mean age when smokers first start is 13 years old with a population standard deviation of 1.9 years. A researcher thinks that smoking age has significantly changed since the invention of ENDS-electronic nicotine delivery systems. A survey of smokers of this generation was done to see if the mean age has changed. The sample of 35 smokers found that their mean starting age was 12.4 years old. Do the data support the claim at the 5% significance level? What are the correct hypotheses? Ho: Select an answer Critical Values = + Submit Question H₁: Select an answer ✓ ? ✓ Based on the hypotheses, find the following: Test Statistic z = years years (Give answer to at least 4 decimal places) (Give answer to at least 4 decimal places) Based on the above we choose to Select an answer The correct summary would be: [Select an answer mean age smokers first start is different than 13. that the claim that the

Question 4 > Overall, the proportion of the student body at a college supporting more funding for student clubs is 0.35. Suppose that we take samples of 45 students. What is the mean of the sampling distribution for this sample proportion? What is the standard deviation of the sampling distribution? Round the answer to three decimal places. Does this sample size and proportion meet the conditions for normality the sampling distribution? No Yes If the conditions for normality are met, give the upper and lower bounds for the middle 68 percent of possible sample proportions ROUNDED TO TWO DECIMAL PLACES. Put the smaller number first, then the larger number (Use the 68-95-99.7 rule here, not the exact value. If they are not met, enter DNE.) Submit Question

Question 6 95 U Vetalis The number of potholes in any given 1 mile stretch of freeway pavement in Pennsylvania has a bell-shaped distribution. This distribution has a mean of 38 and a standard deviation of 10. Using the empirical rule, what is the approximate percentage of 1-mile long roadways with potholes numbering between 8 and 48? Do not enter the percent symbol. ans = Question Help: DPost to forum

Question 14 > For a 4-unit class like Statistics, students should spend average of 12 hours studying for the class. A survey was done on 20 students, and the distribution of total study hours per week is bell-shaped with a mean of 13 hours and a standard deviation of 3.3 hours. Use the Empirical Rule to answer the following questions. a) 68% of the students spend between hours and hours on Statistics each week. b) 95% of the students spend between hours and hours on Statistics each week. c) 99.7% of the students spend between hours and hours on Statistics each week.