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Consider the following hypotheses test.
Ho: u >= 80 Ha: u < 80
A sample of 121 provided a sample mean of 77.3. The population standard deviation is known to be 16.5.
a. Compute the value of the test statistic.b. Determine the p-value; and at 93.7% confidence, test the above hypotheses.c. Using the critical value approach at 93.7% confidence, test the hypotheses.
What is the probability that the sample will have between 50% and 60% of the identifications correct? What is the probability that the sample percentage of correct identifications is greater than 65%?
What type of research design is the strongest when I what to adopt a new educational program? Using a pre-test and post-test with control group, the previous method but without the control group.
A campus organization will select one day of the week for an end of year picnic. Assume that the weekdays, Monday through Friday, are equally likely and that each weekend day
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Systolic blood pressure are mesaured at baseline and again 4 weeks later. Computed 95% confidence interval for the mean difference in blood pressure over 4 weeks.
A sample of 100 mortgages approved during the current year showed that 31 were issued to a single-earner family or individual. The historical average is 25 percent.
You are trying to get an important new customer to buy a product that you produce. Their decision to buy depends on the speed at which you can produce the product once they have placed the order.
If you are dealt 3 cards from a shuffled deck of 52 cards, find the probability that all 3 cards are queens. A fair coin is tossed 8 times in succession. Find the probability of getting at least 4 heads.
Determine the probability the sample of 40 will have a sales average less than $400,000.
Describe the standard normal distribution. Explain why it can be used to find probabilities for all normal distributions.
Create a scatter plot for those data. Based on scatter plot, how would you explain relationship between the two variable.
Explain the differences between qualitative and judgmental statistical time-series, and explanatory/causal forecasting models.
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