Ch11 Flashcards

1
Q

Mean

A

describes the average of values in a sample data

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2
Q

median

A

represents the middle value of an ordered set of values

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3
Q

mode

A

the most frequently occurring value in the distribution of values

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4
Q

what are the measures of center of distribution?

A

mean, median, mode

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5
Q

range

A

defines the spread of data, the distance between smallest and largest values of distribution

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6
Q

standard deviation

A

average distance of the distribution values from the mean

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7
Q

what does a large deviation indicate?

A

the individual values are spread out and farther away from the mean

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8
Q

what do marketing researchers base themselves on to form hypotheses?

A

on sample data and characteristics of population

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9
Q

what kind of hypothesis is appropriate for the use of univariate statistical test?

A

when the hypothesis testing involves examining one variable at a time

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10
Q

what kind of hypothesis is appropriate for the use of bivariate statistical test?

A

when the hypothesis testing involes two variables

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11
Q

What is the purpose of chi-square

A

To test for differences between the frequency of distribution of 2 or more groups

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12
Q

what can be tested for statistical differences ?

A

sex, race, profession etc

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13
Q

what are the 2 possibles situations available when researchers want to compare the means of 2 groups?

A
  1. independent samples
  2. related samples
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14
Q

independent samples

A

respondents come from different populations so their answers don’t affect each others

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15
Q

related samples

A

the same respondents answer several questions, so comparing answers require t-test

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16
Q

which questions can be answered using t-test?

A

mean differences in independent samples

17
Q

parametric statistics

A

t test
anova

18
Q

when should we use parametric stats?

A

when distribution can’t be assumed

19
Q

examples of bivariate stats

A

chi square
t test
anova (analysis of variance)

20
Q

what does ANOVA stand for

A

analysis of variance

21
Q

non-parametric statistics

A

chi square

22
Q

when should we use non-parametric stats

A

when the sample size is large, and it involves interval + ratio scale