Q2: Statistical Technique Flashcards

1
Q

Any proportion from the whole

A

percentage

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2
Q

The middlemost value of your list of values and this can be obtained by adding all the values and divide the obtained sum to the number of values.

A

mean

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3
Q

It shows the spread of data around the mean.

A

standard deviation

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4
Q

A statistical method used to estimate the strength of relationship between two quantitative variables.

A

Correlation Analysis (Pearson’s r)

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5
Q

It can be used to explain the relationship between dependent and independent variables.

A

regression analysis

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6
Q

3 major uses of regression analysis

A
  • causal analysis
  • forecasting an effect
  • linear trend forecasting
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7
Q

It helps you determine some quantity under a given assumption. The outcome of the test tells you whether the assumption holds or whether the assumption has been violated.

A

hypothesis testing

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8
Q

It states that there is no difference between the two values or variables.

A

Null Hypothesis (Ho)

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9
Q

It states that there is a difference between two values or variables

A

Alternative Hypothesis (H1)

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10
Q

In hypothesis testing, the ____________________ uses the data obtained from a sample to decide about whether the null hypothesis should be rejected.

A

statistical test

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11
Q

In a ____________, the null hypothesis should be rejected when the test value falls in either of the two critical regions.

A

two-tailed test

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12
Q

In a ____________, the null hypothesis should be rejected when the test value falls in the critical region on one side of the mean.

A

one-tailed test

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13
Q

It occurs when you reject the null hypothesis when it is true.

A

Type I error

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14
Q

It occurs when you accept a null hypothesis when it is false.

A

Type II error

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15
Q

Arrange the steps in hypothesis testing
1. Make the decision
2. Find the critical value(s)
3. Summarize the result
4. State the hypothesis and identify them
5. Compute the test value

A

4-2-5-1-3

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16
Q

Two approaches used in hypothesis testing

A
  1. t-value or critical value approach
  2. p-value approach
17
Q

This approach is used to determine whether the observed test statistic is more extreme than a define critical value.

A

critical value / t-value approach