The purpose of a _____ is to summarize the problem and information needed to address it.

A researcher is analyzing qualitative data using a procedure for identifying themes and patterns with the data using codes that identify them. The research is using: 

Which of the following would be an appropriate interpretation of a p-value?

An analyst wishing to show the fluctuations in coffee consumption by month over the past two years should probably use a:

A marketing research team is under a deadline to complete the first part of a client’s research study. They promised to complete 10 focus groups by the end of the month. They have only completed 6 of the focus groups the day before the deadline. What should the research team do in order to fulfill the researcher rights and obligations in marketing research? Select the best answer. 

Examine the analysis for the following Research Question/Hypothesis:  Do men attend more concerts in a year on average than women? Group Statistics for Concerts Gender N Mean Std. Deviation Std. Error Mean Female 48 6.7917 5.48095 .79111 Male 52 6.0577 6.35367 .88110 Independent Samples Test  Concerts Levene’s Test for Equality of Variances F Levene’s Test for Equality of Variances Sig. t-test for Equality of Means t t-test for Equality of Means df t-test for Equality of Means Sig. (2-tailed) t-test for Equality of Means Mean Difference t-test for Equality of Means Std. Error Difference t-test for Equality of Means 95% Confidence Interval of the Difference – Lower   t-test for Equality of Means 95% Confidence Interval of the Difference – Upper Equal variances assumed .718 .399 .616 98 .539 .73397 1.19118 -1.62988 3.09782 Equal variances not assumed     .620 97.568 .537 .73397 1.8414 -1.61604 3.08399 If you have trouble reading the table, here is the information it contains in text form: Group Statistics Results Table: Rows are statistics for: 1) Female; and 2) Male. Columns are: 1) N; 2) Mean; 3) Std. Deviation; and 4) Std. Error Mean.  Results are:  For Female: N = 48. Mean = 6.7917. Std. Deviation = 5.48095. Std. Error Mean = .79111. For Male: N = 52. Mean = 6.0577. Std. Deviation = 6.35367. Std. Error Mean = .88110. Independent Samples Test Results Table: Row 1 is statistics for Concerts when Equal variances are assumed. Row 2 is statistics for Concerts when Equal varianances not assumed.  Columns are: 1) Levene’s Test for Equality of Variances  F; 2) Levene’s Test for Equality of Variances Sig.; 3) t-test for Equality of Means t; 4) t-test for Equality of Means df; 5) t-test for Equality of Means Sig. (2-talied); 6) t-test for Equality of Means Mean Difference; 7) t-test for Equality of Means Std. Error Difference; 8) t-test for Equality of Means 95% Confidence Interval of the Difference – Lower; 9) t-test for the Equality of Means 95% Confidence Interval of the Difference – Upper.  Results are:  Levene’s Test for Equality of Variances: F =.718. Sig.=.399. t-test for Equality of Means: Equal variances assumed. t=.616. df = 98. Sig. (2-tailed) =.539. Mean Difference = .73397. Std. Error Difference = 1.19118. 95% Confidence Interval of the Difference – Lower = -1.62988. 95% Confidence Interval of the Difference – Upper = 3.09782. t-test for Equality of Means Equal variances not assumed. t=.620. df = 97.568. Sig. (2-tailed) =.537. Mean Difference = .73397. Std. Error Difference = 1.8414. 95% Confidence Interval of the Difference – Lower = -1.61604. 95% Confidence Interval of the Difference – Upper = 3.08399.  Is the Levene’s Test for Equality of Variances significant? Is the t-test for Equality of Means (Two Mean Independent Samples Test) significant? Based on the t-test significance, how do you answer the research question/hypothesis?

A retail store hires retail anthropologists to observe behavior in a retail store. Researchers walk around the store and write down how shoppers move through the store. Inside the store, subjects were unaware they were being observed. This is called: 

A chewing gum manufacturer wants to determine whether blue packaging or red packaging is preferred. The company performs a sales test by introducing red packages into an independent, random sample of ten stores and blue packages are introduced in an independent, random sample of another ten stores. The technique most appropriate for analyzing the data is:

As a researcher, you must also be on the alert to spot ‘completed’ questionnaires that don’t really have true responses. Consider, for example, a respondent who checked the “5” position on a five-point scale for each of the 20 items in an attitude questionnaire, even though some items were expressed negatively and some positively.  Examining the questionnaire in this manner, “the process of checking and adjusting data for omissions, consistency, and legibility”, occurs during which state of data preparation?

Based upon previous sales figures (an external benchmark), a sales manager wants to determine whether her salespeople could realistically achieve average sales significantly greater than $75,000. The manager gathered data on level of sales achieved by each of her twenty salespeople. She conducted the following statistical test with these results: One-Sample Statistics   N Mean Std. Deviation Std. Error Mean Sales 20 75500.00 18968.11729 4241.39997   One-Sample Test Test Value = 75000   t df Sig. (2-tailed) Mean Difference 95% Confidence Interval of the Difference – Lower 95% Confidence Interval of the Difference – Upper Sales .118 19 .907 500.00 -8377.3522 9377.3522   If you have trouble reading the table, here is the information it contains in text form:  One-Sample Statistics for Sales N = 20 Mean = 75500.00 Std. Deviation = 18968.11729 Std. Error Mean = 4241.39997 One Sample Test for Sales Test Value = 75000 t = .118 df = 19 Sig. (2-tailed) = .907 Mean Difference = 500.00 95% Confidence Interval of the Difference – Lower = -8377.3522 95% Confidence Interval of the Difference – Upper = 9377.3522 What would be an appropriate conclusion drawn from the results of the statistical analysis?