Which of the following is a characteristic for a good estimator.docx - Which of the following is a characteristic for a good estimator A being

# Which of the following is a characteristic for a good estimator.docx

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Which of the following is a characteristic for a good estimator? For a fixed sample size, increasing the level of sign a will A professor teaches A:340 If there are two unbiased A: relatively efficient If the confidence level is increased, the confidence interval A: widens Regarding 90% confidence A: by repeatedly drawing sample The width of a confidence interval estimate A: all are true If the confidence interval is to be 50.62 to 78.28 A:64.45 A confidence interval of 45.2+_ 3.03 A:45.2+_6.06 If a confidence interval is too wide A: Increase the sample size n Given a 90% confidence interval A:90% during repeated sampling You wish to estimate A: yes with 90% certainty You wish to estimate with 95% confidence A:139 A:98% A sales rep at a show store A:H0: u=7 vs. H1: u>7 The researcher is usually A: alternative hypotheses A researcher believes average t shirts A:H0:u=9 vs. H1:u>9 Which of the is possible null hypothesis A:u=5 If a researcher wants to determine the average bill less than \$65, what hypo? A:one-tail test For a two tail test with 5% significance, the null A:less than -1.96 or greater than 1.96 Consider the H0: u=25, z= ? 0.6 At a level of a =0.1, if hypo not rejected , then the hypo is A: will not be rejected at the 0.05 level If a null hypo is rejected at the 0.1 and 0.5 level, but not 0.01 A:0.01 <p-value <0.05 Consider the hypo test H0:u=165 vs H1:u>165, stats is 1.76 A:0.0392 Consider the hypo test H0:u=/165 vs H1:u>165, stats is 1.76 A:0.0784 Consider H0:u=50 vs. H1:u>50, mean is 52.2, p-value 0.0251 A:the prob of observing large as 52.2 from a pop mean is 50 is 0.0251 At a given level of significate x, type error I will and prob type II A:stay the same, decrease A: decrease the prob of a type II error The likelihood of a type I is A:a Which best describes type I error A: making an incorrect decision when the null hypo is true What situation results in a type I error A: rejecting a true null hypo A type II error cannot occur when A:null hypo is true Which is true A: as the prob of making type I decrease pro bog type II increase, the level of prob making type I are same, the power of test decrease and sign decrese A type I error prob of a = 0.05 means that A:we reject a true null hypo 5% of time Consider H0:U=20 vs. h1:u>20, actual mean is 20 A:a type I error A report stated that average A:t=(7900-7500)/(150/10) A report stated that average A:reject h0 if t>1.661 A report stated that average A:at a = 0.05, we do not reject H0 A robust estimator is one that is A:not affected by a bit of nonmorality Consider random sample size of 25. The sample mean to be 58 with variance 36, lower limit 95% A:55.52 A clothing store is interested. 30 customers. Spending 141.50 with SA 15.72. find 95% A:\$135.63, \$147.37 For a 95% interval , sample n=20 with s =0.25, critical t is A:2.093 The 90% level (156.2, 183.9) A:reject the null hypo Which of the conditions is false the chi- sqaured test A:the calculated x2 tets stat can be any # less than 0 Consider following hypo, 15 sample A:15.435  • • • 