Remission time-depressed individuals

Assignment Help Basic Statistics
Reference no: EM13110321

1. Medical researchers interested in determining the relative effectiveness of two different drug treatments on people with a chronic mental illness established two independent test groups. The first group consisted of 9 people with the illness, and the second group consisted of 12 people with the illness. The first group received treatment 1 and had a mean time until remission of 165 days, with a standard deviation of 8 days. The second group received treatment 2 and had a mean time until remission of days, with a standard deviation of 5 days. Assume that the populations of times until remission for each of the two treatments are normally distributed with equal variance. Can we conclude, at the 0.05 level of significance, that the mean number of days before remission after treatment 1 (mean 1), is less than the mean number of days before remission after treatment 2 (mean 2)?

Perform a one-tailed test...Carry your intermediate computations to at least three decimal places and round your answers.

The null hypothesis

The alternate hypothesis

The type of test statistic

The value of the test statistic(round three decimal places)

The critical value at the 0.05 level of significance.

Can we conclude that the mean number of days before remission after treatment 1 in less than the mean number of days before remission after treatment 2? (yes or no)

2. Two popular drugs used for the treatment of depression are Resithan and Exemor. A random sample of 501 depressed individuals is selected and treated with Resithan, and 215 find relief from their depression. A random sample of 594 depressed individuals is independently selected from the first sample and treated with Exemor, and 261 find relief from their depression. Can we conclude, at the 0.05 level of significance, that the proportion (P1)of depressed individuals taking Resithan who find relief from depression is less than the proportion (P2) of all depressed individuals taking Exemor who find relief from depression?

Perform a one-tailed test...Carry your intermediate computations to at least three decimal places and round your answers.

The null hypothesis

The alternate hypothesis

The type of test statistic

The value of the test statistic(round three decimal places)

The critical value at the 0.05 level of significance.

Can we conclude that the proportion of depressed individuals taking Resithan who find relief is less than the proportion taking Exemor who find relief? (yes or no)

Reference no: EM13110321

Questions Cloud

Describe why ordinary least squares solution is not unique : Describe why ordinary least squares solution is not unique. What can you say about residuals of any solution? Is ridge regression solution unique? Explain why or why not?
What is the maximum quantity of quarks : What is the maximum quantity of quarks it can produce and what is the opportunity cost of producing the first 600 quarks?
Predict whether you would expect the cell size : whereas cells that express a constitutively activated version of PKA are 15% larger than normal liver cells. Given these results, predict whether you would expect the cell's size to be bigger or smaller than normal cells if cells were treated in t..
Alternative hypothesis for casualty insuarance company : The records of a casualty insurance company show that, in the past, its clients have had a mean of 1.8 auto accidents per day with a variance of 0.0016.
Remission time-depressed individuals : Medical researchers interested in determining the relative effectiveness of two different drug treatments on people with a chronic mental illness established two independent test groups.
Importance of strategic plan for success of defined business : Develop an argument supporting the importance of a strategic plan for the success of the defined business.
How many days will it take to become a palpable mass : Apply the principle of exponential growth to the cells in a multicellular organism where a cancer arises in a lymph node. Assume the tumor cells double every 18 hours and none die. How many days will it take to become a palpable mass (approximatel..
Why antibioticresistant bacteria donot demonstrate evolution : Explain why examples such as the peppered moth, pesticide-resistant insects, and antibiotic-resistant bacteria do not demonstrate evolution.
Hypothesis testing mean lifetime of light bulbs : A manufacturer claims that the mean lifetime of its light bulbs is 55 months. The standard deviation of these lifetimes is 6 months. Twenty-two bulbs are selected at random, and their mean lifetime is found to be 56 months.

Reviews

Write a Review

Basic Statistics Questions & Answers

  Normal probability distribution

By using the normal probability distribution, what is the probability the car will be repaired in 35 minutes or less?

  Find normal approximation to the binomial probability

How would you find normal approximation to the binomial probability in part a? please show how you would calculate mean and standard deviation in form for normal approximation to the binomial and show the final form you would use w/o going through..

  Stronger gun-control laws

Among 620 adults selected randomly from among the residents of one town, 18.9% said that they favor stronger gun-control laws.

  Population mean cost

What is the 95% confidence interval estimate of the population mean cost for a prescription of Zocor?

  Forecast using trend line-mad and mse

Use the sales data given below determine: a) The least square trend line.

  Hypothesis testing and confidence interval of two proportion

Establish a 99% Confidence interval about the difference in the proportion of the town voters and county voters who favor the proposal.

  Geometric mean for discrete data

Confirm that these statements are accurate by finding the geometric mean rate of increase.

  Calculate the chi-square statistic

Write a paragraph summarizing the results of the analysis and determine whether the calculated values of chi-square are statistically significant

  Possible sources of selection bias-inaccuracy of responses

Describe the target population, sampling frame, sampling unit, and observation unit. Discuss any possible sources of selection bias or inaccuracy of responses.

  Absolute percentage error

Would you expect the mean absolute percentage error to be more than or less than 0.25? Describe.

  Theories of mutually exclusive events

In our discussions of basic probability theory the concepts of mutually exclusive events and independent events share prominent roles.

  Correlation between retail online sales-total retail sales

Then, give two examples of correlation which are evaluated in a business environment and discuss the decision made by evaluating the correlation.

Free Assignment Quote

Assured A++ Grade

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!

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd