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Marcus is a zoology major who is doing a study about dogs. He is going to limit his population to 4 veterinarian offices. Each office is a different size and randomly sees poodles, beagles and golden retrievers Tanya's parameters of interest are average dog age and weight. There are 1000 dogs in all.
How Marcus could:
a. Take a Simple Random Sample of 50 dogs:
b. Take a Census:
c. Take a sample of 50 dogs using the Systematic sampling method:
d. If Marcus randomly chooses two vet offices and then surveys all the dogs in those two offices, what type of sampling method is he using?
e. If Marcus separates all of the dogs by breed and then randomly selects 20 poodles, 10 beagles and 20 golden retrievers for his survey, what type of sampling method is he using?
Create a sequence diagram.- Create a communication diagram.- Create a behavioral state machine diagram.- Perform a CRUD analysis.
Run a simple linear regression of these five pairs of numbers and estimate a linear relationship between income and percentage growth in wealth.
Suppose a stock analyst wants to determine whether there is a difference in the mean rate of returns for three types of stock - utility, retail, and banking.
A box contains 10 chips. The chips are numbered 1 through 10. Otherwise, the chips are identical. From this box, we draw one chip at random, and record its value.
Find the natural tolerance limits for order completion time.- If the company sets a goal of 23.5 hours, what proportion of the orders will fail to satisfy this goal?
Which type of error is more likely to occur: concluding that the new toothpaste is better when it really isn't, or failing to conclude that the new toothpaste.
In which study would noncompliance be more of a problem: a study where participants are to think about bad hair or leaky containers
I have two samples, one is 31.2% and one is 22.6%. I am trying to calculate the 95% confidence interval in context of this situation. ALso i need the formula that is used to calculate the interval and substitute appropiate numerical values into the f..
Construct a scatter plot for these data.- Find the estimated regression line. Add a graph of the estimated regression line to the scatter plot in part (a).
State the hypotheses for a right-tailed test. Obtain a test statistic and p-value assuming unequal variances. Why might the sample data not follow a normal, bell-shaped curve? If not, how might this affect your conclusions?
Estimate the mean number of cars per household for the population of households in the neighborhood. Give the 95% confidence interval.
sample mean = 3.5, standard deviation = 0.9. Use 98% confidence interval to evaluate difference in mean weekly deposits into IRAs for each bank.
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