Question 1

The researcher uses difference analysis to determine the degree to which real but specific similarities exist in the population in order to help the manager make an enlightened decision.

Accepted Answer

Difference analysis is typically used to identify and understand the differences (not similarities) between groups or conditions in a population, which can inform decision-making by highlighting distinct characteristics or effects.

Question 2

When ________ are encountered by marketing researchers,the marketing researcher performs the appropriate hypothesis test and interprets the findings.

Accepted Answer

The answer of When ________ are encountered by marketing researchers,the...

Question 3

The five basic types of statistical analysis techniques are progressively more complex,but at the same time,they do not necessarily convert raw data into increasingly more useful information as they increase in complexity.

Accepted Answer

The answer of The five basic types of statistical analysis...

Question 4

________ is invariably more accurate than a hypothesis.

Accepted Answer

Sample information is typically more accurate than a hypothesis because it is based on actual data collected from a subset of the population, whereas a hypothesis is a proposed explanation made on the basis of limited evidence as a starting point for further investigation.

Question 5

Descriptive measures are typically used early in the analysis process and become foundations for subsequent analysis.

Accepted Answer

Descriptive measures such as mean, median, mode, standard deviation, etc. are used to summarize and describe the data in a meaningful way. These measures provide a basic understanding of the data and are used to identify patterns, trends, and relationships. They form the foundation for subsequent analysis such as hypothesis testing, regression analysis, and machine learning.

Question 6

With a set of numbers,the mode is that number appearing least often.

Accepted Answer

The mode is actually the number that appears most frequently in a set of numbers, not the number appearing least often.

Question 7

A ________ gives you the probability of support for your hypothesis based on your sample evidence and sample size.

Accepted Answer

A hypothesis test is a statistical analysis used to determine whether the results of a study support a particular hypothesis. It involves analyzing sample data to determine the probability of support for the hypothesis, based on factors such as sample size and confidence level. Market tests, respondent tests, and survey tests may be related to hypothesis testing in some cases, but do not provide the same level of statistical analysis to determine probability of support for a particular hypothesis.

Question 8

Regression analysis is not the method of choice used by the marketing researcher to understand complex relationship connections.

Accepted Answer

Regression analysis is often used by marketing researchers to understand complex relationship connections between variables. It is a statistical method that can help identify the strength and direction of relationships between variables, as well as predict future outcomes based on past data. Other methods used in marketing research to understand complex relationships may include structural equation modeling, cluster analysis, or factor analysis.

Question 9

There are several guidelines in the presentation of hypothesis tests.Which of the following does not represent one of those guidelines?

Accepted Answer

While preparing results in both print and slide formats may be helpful for communication purposes, it is not a guideline for the actual presentation of hypothesis tests. The other guidelines listed (stating the hypothesis, performing appropriate computations, and determining if the hypothesis is supported) are all key steps in presenting a hypothesis test.

Question 10

Association analysis determines the strength and direction of relationships between two or more variables(questions in the survey).

Accepted Answer

Association analysis is a statistical technique that measures the strength and direction of relationships between two or more variables.

Question 11

The basic data analysis goal involved in all measures of central tendency is to report a single piece of information that describes the most typical response to a question.

Accepted Answer

Measures of central tendency aim to provide a single value that represents the most common or typical response in a data set. Examples of measures of central tendency include the mean, median, and mode.

Question 12

Knowing the variability of data could greatly impact a marketing decision based on the data because it expresses how similar the respondents are to one another on the topic under examination.

Accepted Answer

If the data has low variability, it means that most respondents have similar opinions or behaviors. This could indicate a clear trend or preference among the target audience, allowing marketers to make more informed decisions. On the other hand, high variability could indicate a diverse range of opinions or behaviors among respondents, making it harder to identify a clear trend or preference. In this case, marketers may need to conduct further research or adjust their strategies to account for the variability in the data.

Question 13

An alternative measure of central tendency is the median,which expresses the value whose occurrence lies in the middle of an ordered set of values.

Accepted Answer

This statement is true. The median is a measure of central tendency that represents the middle value in an ordered set of data.

Question 14

Important market segmentation information may come from difference analysis.

Accepted Answer

Difference analysis compares different groups within a market to identify important differences that can be used for market segmentation. Therefore, important market segmentation information may come from difference analysis.

Question 15

Data analysis distills the dataset while retaining enough information so the client can mentally envision its salient characteristics.

Accepted Answer

Data analysis involves summarizing and extracting key insights from a dataset while still retaining enough information to convey the important characteristics of the data to the client.

Question 16

Frequencies themselves are not raw counts,and normally these frequencies cannot be converted into percentages for ease of comparison.

Accepted Answer

Frequencies can be converted into percentages by dividing the frequency of a category by the total number of observations and multiplying by 100. This allows for ease of comparison between categories.

Question 17

Inferential statistics include hypothesis testing and estimating approximate population values without using confidence intervals.

Accepted Answer

Inferential statistics include both hypothesis testing and estimating approximate population values using confidence intervals. Confidence intervals are a commonly used method of estimating population values in inferential statistics.

Question 18

The ________ says that our sample is one of many theoretical samples that comprise a bell-shaped curve with the hypothesized value as the mean.

Accepted Answer

The statement describes the concept of a sampling distribution, which is a theoretical distribution of all possible sample means that can be drawn from a population. The sampling distribution is typically represented by a normal curve with the hypothesized value as the mean, which is used in statistical hypothesis testing.

Question 19

Measures of variability reveal the typical similarities between the values in a set of values.

Accepted Answer

Measures of variability reveal the degree of spread or dispersion among the values in a set of values, not the typical similarities between them.

Question 20

To ensure that sample information is more accurate than a hypothesis,a researcher must make sure that the sampling procedure:

Accepted Answer

Probability sampling ensures that each member of the sampling frame has an equal chance of being selected for the sample, which increases the representativeness of the sample. This, in turn, ensures that the sample information is more accurate than a hypothesis. Adhering strictly to probability sampling requirements while also ensuring representativeness is key to achieving this goal.

Quiz 12: Using Basic Descriptive Analysis Performing Population Estimates and Testing Hypotheses