Section 6 (Pgs 68-80) Flashcards

1
Q

If the probability off successes at each binomial trial is p and number of trials is n, what does the mean number of successes equal?

A

np

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2
Q

If the probability of successes at each binomial trial is p and number of trials is n, what does the variance equal?

A

np(1-p)

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3
Q

If the probability of successes at each binomial trial is p and number of trials is n, what does the sample population proportion equal?

A

p

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4
Q

If the probability of successes at each binomial trial is p and number of trials is n, what does the sample standard error equal?

A

square root of p(1-p)/ n

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5
Q

Under what conditions can inferences about the number of successes, and the population proportion, be based on the normal distribution sampling theory?

A

when np and n(1-p) are both greater than 5

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6
Q

For a hypothesis test of binomial proportion, what 2 options can the test be based on?

A

The number of successes

The proportion of successes

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7
Q

What does regression analysis do?

A

Provides information about the nature of the relationship and enables predictions to be made

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8
Q

What does correlation technique do?

A

Assesses the linear relationship between 2 continuous variables

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9
Q

What technique is used to assess relationships between categorical variables?

A

Chi squared techniques

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10
Q

What technique is used to assess relationships when one variable is categorical?

A

Logistic regression

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11
Q

What is the word used to described when one set of continuous data changes proportionally with another?

A

Correlated

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12
Q

What measurement is used to describe the strength of the linear relationship between 2 continuous variables?

A

Correlation coefficient

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13
Q

What range of values can the correlation coefficient be between?

A

-1 and +1

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14
Q

What does the sign of the correlation coefficient indicate?

A

The direction of the relationship

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15
Q

What does the magnitude of the correlation coefficient indicate?

A

The strength of the relationship

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16
Q

If there is no linear association, what would the value of the correlation coefficient be?

A

0

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17
Q

Approximate value of the correlation coefficient if there is no correlation?

A

0-0.1

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18
Q

Approximate value of the correlation coefficient if there is a very weak positive correlation?

A

0.1-0.2

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19
Q

Approximate value of the correlation coefficient if there is a weak positive correlation?

20
Q

Approximate value of the correlation coefficient if there is a moderate positive correlation?

21
Q

Approximate value of the correlation coefficient if there is a strong positive correlation?

22
Q

How would you describe it when there is a close relationship between the 2 variables with a large value of one variable being associated with a large value of the other?

A

Strong positive linear correlation

23
Q

How would you describe it when the 2 variables cluster less closely around the line with a large value of one variable being associated with a large value of the other?

A

Moderate positive linear correlation

24
Q

How would you describe it when there is a close relationship between the 2 variables with a large value of one variable being associated with a small value of the other?

A

Strong negative linear correlation

25
Q

What is the full name of the correlation coefficient?

A

Pearson’s product moment correlation coefficient

26
Q

What is the symbol for Pearson’s product moment correlation coefficient?

27
Q

What is the initial steps in investigating relationships?

A

Produce a scatter plot

28
Q

Does a mathematical relationship between 2 variables imply cause and effect?

29
Q

Can correlation be used to measure agreement?

30
Q

What happens to the value of r as sample size increases?

A

Value of r increases

31
Q

What 3 conditions must be met for the significance of an observed value of r to be determined from tables?

A

At least one variable is plausibly normally distributed (preferably 2)
Measured on a random sample
Pairs of variables are independent

32
Q

How can you tell if both variables on a scatter plot are normally distributed?

A

Scatter plot is elliptical

33
Q

Does a mathematically significant correlation mean it is clinically significant?

34
Q

What does r squared measure?

A

The proportion of the variation in the dependent variable (y) which is attributable to its linear relationship with the independent variable (x)

35
Q

How is r squared dependent on the number of observations in the sample?

A

Independent of the number of observations

36
Q

How should correlation be used to explore data?

A

Correlation should only be used to investigate specific hypothesis about relationships

37
Q

Can correlation be used to measure agreement?

A

No - as agreement is comparing 2 values assessing the same quantity there is sure to be some sort of agreement

38
Q

What can be plotted if there is a significant linear association between two variables?

A

The line of best fit

39
Q

What is the general form of the regression line?

A

y = a + bx

40
Q

What word can be used to describe a and b?

41
Q

What is a?

A

The intercept

42
Q

What is b?

43
Q

What is the intercept?

A

The value of y when x=0

44
Q

What is the slope?

A

The change in y when x increases by one unit

change in y/ change in x

45
Q

What 3 assumptions are being made when regression methods are used?

A

The correlation between x and y variables is significant
For each value of the x variable, the values of the y variable have a normal distribution
The variances of these normal distributions are equal

46
Q

Can the regression equation be used for values of the independent variable not increased in the sample range?