Already have an account? Get multiple benefits of using own account!
Login in your account..!
Remember me
Don't have an account? Create your account in less than a minutes,
Forgot password? how can I recover my password now!
Enter right registered email to receive password!
Within each of your current careers/ jobs, there are sets of data that can be analyzed. For example, a teacher can use a set of test scores, a dietician can analyze a set of patient weights and correlate them to incidences of diabetes, and a salesperson can look at their clients' previous buying behavior to focus marketing. Your job this week is to think of a set of data that is important to to your current work environment (and a student can count as a work environment). Your data set should be useful and should include have at least 20 numbers in the set. With that set, perform the following operations:
* find the mean, median, mode, and range
* find the variance, standard deviation and margin of error
* construct a 95% and 99% confidence interval
* analyze your statistics to see what types of conclusions you can draw
A researcher used stepwise regression to create regression models to predict Birthrate (births per 1000) using five predictors:
At the .05 significance level, can we conclude that the guideline is still reasonable?
Determine the expected shape of distribution of sample mean? Compute the likelihood of choosing a sample with mean of at least $112,000?
The owner of a local golf course wanted to determine the average age of the golfers that played on the course. In a random sample of 30 golfers that visited his course, the sample mean was 48.34 and the standard deviation was 9.327. Calculate a 90..
Find out the variance for percentage of tickets? Determine the probability that your sample will have the average between 70 and 75?
For the 20 test scores shown, find the percentile rank for a score of 86.
Use the marginal probabilities of school quality, school cost or convenience, and other to comment on the most important reason for choosing a school.
Hypothesis test for difference between two population variances - compare the variation in the selling price of homes on the oceanfront with those one to three blocks from the ocean.
The hypotheses are as follows: Null Hypothesis: μD ≤ 0, Alternative Hypothesis: μD > 0. From her data, the resesarcher calculates a p-value of 0.0162. What is the appropriate conclusion? The difference was calucated as (after - before).
Recent studies have shown that the super-cooling temperature of terrestrial frogs frozen at -6°C has a relative frequency distribution with a mean of - 2°C and a standard deviation of 0.3°C (The first of these studies was reported in Science, May ..
Conduct a 3-period moving average, an exponential smoothing forecasting using an alpha of .25, and a seasonal forecast with 3 seasons.
What is the probability that they all hit the target?
Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!
whatsapp: +1-415-670-9521
Phone: +1-415-670-9521
Email: [email protected]
All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd