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Q1) Six hundred draws will be made at random with replacement from box [0, 0, 1]. Number of 1's among draws will be around _____ give or take _____ or so.
Q2) One thousand tickets are drawn at random without replacement from large box, and 651 of draws show a 1. Fraction of 1's in box is estimated as 65%. True of false, and describe: likely size of chance error in this estimate can be figured as follows-
Sqrt(1,000)*sqrt(0.65*0.35)≈15, (15/1,000)*100%=1.5%
Q3) Among sample households of 500, 121 had no car, 172 had one car, and 207 had two or more cars. Evaluate percentage of households in town with one or more cars; attach standard error to be evaluate. If this is no possible, describe why not.
Determine following probabilities where Z follows standard Normal distribution?
Do students tend to improve their SAT Mathematics (SAT-M) score the second time they take the test? A random sample of four students who took the test twice received the following scores
Estimate with 90% confidence the difference in the level of satisfaction with service between the two branches.
Last school year, student body of a local university consisted of 30% freshmen, 24% sophomores, 26% juniors, and 20% seniors. A sample of 300 students taken from this year's student body showed the following number of students in each classificati..
What is the probability that he will answer all questions correctly?
Find out equation of the line of best fit. Find out r - Is there a strong relationship?
The booster club has gotten several businesses and car dealers to donate gasoline and cars for the college students to use to make a maximum of 575 personal contacts daily during the fund-raising drive. The college student will donate a total of 2..
Do the data provide significant support for any preferences among the three brands? Test At the .05 level of significance.
The probability that a bomber hits a target on a bombing mission is 0.700. Three bombers are sent to bomb a particular target.
Taking care to control for weather conditions and other variables as much as possible. Define the null hypothesis.
Write the linear regression equation to forecast father's education from mother's education?
She then selects a sample of 102 football players and finds that their average math SAT is 460. Use alpha =.01 to perform the appropriate hypothesis test.
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