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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 willA professor teaches A:340If there are two unbiasedA: relatively efficientIf the confidence level is increased, the confidence intervalA: widensRegarding 90% confidenceA: by repeatedly drawing sampleThe width of a confidence interval estimateA: all are trueIf the confidence interval is to be 50.62 to 78.28A:64.45A confidence interval of 45.2+_ 3.03A:45.2+_6.06If a confidence interval is too wideA: Increase the sample size nGiven a 90% confidence intervalA:90% during repeated samplingYou wish to estimate A: yes with 90% certainty You wish to estimate with 95% confidence A:139A:98%A sales rep at a show storeA:H0: u=7 vs. H1: u>7The researcher is usually A: alternative hypothesesA researcher believes average t shirtsA:H0:u=9 vs. H1:u>9Which of the is possible null hypothesisA:u=5If a researcher wants to determine the average bill less than $65, what hypo?A:one-tail testFor a two tail test with 5% significance, the null A:less than -1.96 or greater than 1.96Consider the H0: u=25, z= ?0.6At a level of a =0.1, if hypo not rejected ,then the hypo isA: will not be rejected at the 0.05 levelIf a null hypo is rejected at the 0.1 and 0.5 level, but not 0.01A:0.01 <p-value <0.05Consider the hypo test H0:u=165 vs H1:u>165, stats is 1.76A:0.0392Consider the hypo test H0:u=/165 vs H1:u>165, stats is 1.76A:0.0784Consider H0:u=50 vs. H1:u>50, mean is 52.2, p-value 0.0251A:the prob of observing large as 52.2 from a pop mean is 50 is 0.0251At 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 errorThe likelihood of a type I isA:aWhich best describes type I errorA: making an incorrect decision when the null hypo is trueWhat situation results in a type I errorA: rejecting a true null hypoA type II error cannot occur whenA:null hypo is trueWhich is trueA: 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 thatA:we reject a true null hypo 5% of timeConsider H0:U=20 vs. h1:u>20, actual mean is 20A:a type I errorA report stated that average A:t=(7900-7500)/(150/10)A report stated that average A:reject h0 if t>1.661A report stated that averageA:at a = 0.05, we do not reject H0A robust estimator is one that is A:not affected by a bit of nonmoralityConsider random sample size of 25. The sample mean to be 58 with variance 36, lower limit 95%A:55.52A clothing store is interested. 30 customers. Spending 141.50 with SA 15.72. find 95%A:$135.63, $147.37For a 95% interval , sample n=20 with s =0.25, critical t isA:2.093The 90% level (156.2, 183.9)A:reject the null hypoWhich of the conditions is false the chi-sqaured testA:the calculated x2 tets stat can be any #less than 0Consider following hypo, 15 sampleA:15.435