The class is Psychology - 223 but it's more a Statistics question...

1.I need to describe the hypothesis associated with my research scenario.

2. I need to state my understanding of what each hypotheses mean.

3. I need to identify the null and alternative hypothesis using appropriate statistical symbols and language based on what is being compared in my research scenario.

And can someone please explain to me how to use that immage up load thing that is asking for a URL on the (immage properties), I have no idea what to put in that spot.

PSY 223 Milestone Three Worksheet

Review the critical elements that must be addressed in the final project. Use this worksheet to create Milestone Three. A hypothesis is a position about research outcomes. In this assignment, you will describe two hypotheses associated with your research scenario.

Points to consider: A researcher acts like the coach of a sports team. In a pregame meeting, a coach describes the possible scenarios associated with outcomes of a game. “If we win, it means we go to the playoffs; if we lose it means our season is over.” The coach’s specificity helps ensure everyone is clear on what the team is up against and what is at stake. Before doing an analysis, researchers do something similar. They acknowledge potential outcomes of the upcoming analysis. “We can find either: (a) variation in the data reflects chance, or (b) variation in the data is due to a systematic law.” Researchers call position (a) null hypothesis (symbolized H₀). Researchers call position (b) alternative hypothesis (symbolized H_a). A researcher customizes the hypotheses to a study, using symbols and information about the specific study.

1. Indicate your research hypotheses (null and alternative), incorporating the appropriate symbols. [To answer this question, you need, in part, to look at the research scenario.]  

2.State what the hypotheses mean.

[Some overlap may exist with your answer to # 1. These are related rather than mutually exclusive questions.]

Scenario 2 (Forensic Psychology)

Levels of groups' certainties about their eyewitness testimony to a simulated crime were compared. The first group was set up to be "right" in its eyewitness accounts and the second group was set up to be "wrong"; the desire was to see if confidence differed across groups. Thirty-four participants were recruited from a college campus and randomly divided into two groups, both of which were shown a video of a crime scenario (length: 58 seconds) in which the perpetrator's facial characteristics (with respect to the camera) were clearly visible at two separate points and sporadically visible at others. Half the participants then were shown a five-individual lineup that contained the perpetrator in the video ("Group A"), and half the participants were shown a five-individual lineup that did not contain the perpetrator ("Group B"). Participants were asked to (a) identify if and where the perpetrator was in the lineup and (b) provide a rating of confidence on a scale from 1 to 10 (10 being highly confident) that the selection was the same as the person seen in the video committing the crime. All participants signed consent forms, were told they could leave the study at any time, and were told they would be debriefed. Data on the confidence ratings are shown below (also found in the Data Set Scenario 2 Excel file).

Group A Confidence Group B Confidence

07 10

10 05

09 05

10 10

08 07

05 06

10 10

10 09

01 03

10 06

05 04

06 10

07 10

06 10

04 03

05 07

10 08

.

How many types of hypotheses are there?

How does a file drawer analysis (see book for description of “file drawer”) make the findings of a meta-analysis more persuasive?

Write a report on the application of all the forecasting methods.(regression,time series decomposition and exponential smoothing,ARIMA models

A consumer preference study compares the effects of three different bottle designs (A, B, and C) on sales of a popular fabric softener. A completely randomized design is employed. Specifically, 15 supermarkets of equal sales potential are selected, and 5 of these supermarkets are randomly assigned to each bottle design. The number of bottles sold in 24 hours at each supermarket is recorded. The data obtained are displayed in the following table.

The Excel output of a one-way ANOVA of the Bottle Design Study Data is shown below.

(a) Test the null hypothesis that μ_A, μ_B, and μ_C are equal by setting α = .05. Based on this test, can we conclude that bottle designs A, B, and C have different effects on mean daily sales? (Round your answers to 2 decimal places. Leave no cells blank - be certain to enter "0" wherever required.)

(Click to select)Do not reject/Reject H₀: bottle design (Click to select)does/does not have an impact on sales.

(b) Consider the pairwise differences μ_B – μ_A, μ_C – μ_A , and μ_C – μ_B. Find a point estimate of and a Tukey simultaneous 95 percent confidence interval for each pairwise difference. Interpret the results in practical terms. Which bottle design maximizes mean daily sales? (Round your answers to 2 decimal places. Negative amounts should be indicated by a minus sign.)

Bottle design (Click to select)B/C/A maximizes sales.

(c) Find a 95 percent confidence interval for each of the treatment means μ_A, μ_B, and μ_C. Interpret these intervals. (Round your answers to 2 decimal places. Negative amounts should be indicated by a minus sign.)

Let X1 and X2 be uniform on the consecutive integers -n, -(n+1), ... , n-1, n. Use convolution to find the mass function for X1 + X2.

Suppose a random sample of size 56 is selected from a population with  = 8. Find the value of the standard error of the mean in each of the following cases (use the finite population correction factor if appropriate).

The population size is infinite (to 2 decimals).

The population size is N = 50,000 (to 2 decimals).

The population size is N = 5,000 (to 2 decimals).

The population size is N = 500 (to 2 decimals).

what is General Social Survey (GSS), and why is it such an important source of data for understanding American society? Write a brief paragraph that describes the GSS.

The Pew Internet and American Life Project reports that young people ages 12-17 send a mean of 60 text messages per day. A random sample of 40 young people showed a sample mean of 69 texts per day. Assume σ = 28 for the population.

Using a significance level of α = 0.05, test whether the population mean number of text messages per day is greater than 60.

i. What is the null hypothesis?
ii. What is the alternative hypothesis?

iii. Which kind of test is this (left-tail, right-tail, or two-tail)? iv. Find zdata.

v. Find the critical region.
vi. Do we reject the null hypothesis or fail to reject it?

Let the following sample of 8 observations be drawn from a normal population with unknown mean and standard deviation: 21, 14, 13, 24, 17, 22, 25, 12. [You may find it useful to reference the t table.]

a. Calculate the sample mean and the sample standard deviation. (Round intermediate calculations to at least 4 decimal places. Round "Sample mean" to 3 decimal places and "Sample standard deviation" to 2 decimal places.)

b. Construct the 90% confidence interval for the population mean. (Round "t" value to 3 decimal places and final answers to 2 decimal places.)

c. Construct the 95% confidence interval for the population mean. (Round "t" value to 3 decimal places and final answers to 2 decimal places.)

d. What happens to the margin of error as the confidence level increases from 90% to 95%?

As the confidence level increases, the margin of error becomes larger.
As the confidence level increases, the margin of error becomes smaller.

You are to calculate the mean and standard deviation for the rate of returns for IBM and GE. Use monthly values for the period August 1, 2007 through August 1, 2018

Q10.You are to calculate the mean and standard deviation for the rate of returns for IBM and GE. Use monthly values for the periodAugust 1, 2007 through August 1, 2018. Data can be obtained from the WWW as follows 1.Go to http:www.yahoo.com. Select the Finance option 2.Enter your stock's symbol (IBM and GE) one by one.3.Under the Summary tab select "Historical Data" 4.Enter the dates correctly under the ‘set date range’ for the selected stock.Make sure the time period covered is IBM and GE(August 1, 2007 through August 1, 2018). 5.Select “Historic Prices and select correct frequency (in this case monthly)”. Further,click on “Apply” tab.6.Then just belowApply tab is download the spreadsheet. Download the spreadsheet as an excel file and save it.7.Delete all the columns except“Date” and “Adjusted close” columnsfor all three stocks.Keep only one column of “Date”.8.Make sure the data is in ascending order (by date) (i.e. old date on the top and most recent date on the bottom of the “Date” column).9.Calculate the Rate ofReturns (Xt -Xt-1 ) / Xt-1for all three stocks.

Consider random variables X1, X2, and X3 with binomial distribution, uniform, and normal probability density functions (PDF) respectively. Generate list of 50 random values, between 0 and 50, for these variables and store them with names Data1, Data2, and Data3 respectively.

( To complete successfully this homework on Stochastic Models, you need to use one of the software tools: Excel, SPSS or Mathematica, to answer the following items, and print out your results directly from the software.)

I'm trying to figure out how did they come up with the answer for the Test Value, and P Vaule. With this in formation provided. is there a formula to figuring out this problem.

Parameter and Hypothesis:  What is the true percentage of all my Facebook Friends who would identify summer as their favorite season?  Hypothesis (po) = 50%

Test Value:  -1.15

po=.50

p (p-hat) = .463

n = 242

P-Value:  0.2502

I want to know the process of how to do this myself

What are some of the distinct purposes discriminant analysis is used for in marketing research applications? How might you use DA as a follow-up method after a cluster analysis is run, specifically, if one has a variety of data on consumer responses / opinions, as well as geodemographic data?