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The following table shows the number of defective, acceptable, and superior items in samples taken both before and after the introduction of a modification in the manufacturing process.
Defective
Acceptable
Superior
Before 25
218
22
After 9
103
14
Is this change significant at the .05 level?
a factory makes light bulbs. over a long period 4 of them are found to be faulty. a random sample of 100 light bulbs is
A coin was flipped 60 times and came up heads 38 times (a) at the time .10 level of significance is the coin based towards heads? show your decision rule and calculations (b) calculate a p value and interpet.
Fit a least squares trend line to the merger data. What type of trend (linear or curved) might best fit to this time series? Compute the forecast for year 20 based on the trend (linear or curved) that best fits the data?
find the margin of error for the given values of cs and n c0.80 s4 and n8the margin of error is round to one decimal
the owner of a dry cleaning business in an effort to measure the quality of the services provided would like to study
a study is conducted to determine if time of day has any effect on test grades. an introductorypsychology class is
Briefly explain how the difference may have been caused by the treatments b) Briefly explain how the difference simply may be sampling error
Random sample of 100 voters showed that 55 of those sampled will vote for her. Is it likely that her assertion is correct at the 0.05 level of significance?
You have asked to research the high absenteeism rate in your company. One required analysis is to be by gender. Assume you have been asked to do the study via a survey.
in a paired-samples t test the null hypothesis posits that the mean of the comparison distribution isselect onea. -1.b.
A rare disease has just broken out. Doctor Johnson is trying to help, but while treating patients he might expose himself to the disease.
The means appear to be very close, but not the variances. (a) At α = .05, is there a difference in variances? (b) Show all steps clearly, including an illustration of the decision rule.
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