Hypothesis Testing Flashcards

1
Q

What is a null hypothesis?

A

The default position (H0)
The original statement given in the question

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2
Q

What is the alternative hypothesis?

A

The alternative possibility in respect to the null hypothesis (H1)

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3
Q

What is a one-tailed test?

A

A situation in which you are testing whether a parameter is more than or less than a value

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4
Q

What is a two-tailed test?

A

A situation in which you are testing whether a parameter is not equal to a value

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5
Q

How do you decide whether to accept/reject the null hypothesis?

A

If the data is within the critical region for the value stated, accept the null hypothesis
if the data falls outside of the critical region for the value stated, reject the null hypothesis and accept the alternative hypothesis

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6
Q

What are the two methods for conducting a hypothesis test?

A
  • Finding the critical region and comparing to the test statistic
  • Finding the probability of being at least as extreme as the test statistic and comparing to the significance level
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7
Q

How do you carry out the probability comparison method of hypothesis testing?

A
  • Write out the hypotheses
  • State the distribution being used for the test
  • Draw the graph and shade
  • Write a number line of X values
  • Look up probability
  • Compare probability and significance level
  • Concluding statement
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8
Q

How do you carry out the critical region comparison method of hypothesis testing?

A
  • Write out the hypotheses
  • State the distribution being used for the test
  • Draw the graph and shade
  • Write a number line of X values
  • Construct a table of probabilities
  • Compare critical region and test statistic
  • Concluding statement
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9
Q

What should you do if the probability of the test statistic < significance level?

A

Reject the null hypothesis
(There is enough evidence to suggest…)

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10
Q

What should you do if the probability of the test statistic > significance level?

A

Accept the null hypothesis
(There is not enough evidence to suggest…)

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11
Q

How do you find P(X is greater than or equal to A)?

A

1 - P(X is less than or equal to A-1)

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12
Q

What do you do to the significance level if you are dealing with a two-tailed test?

A

Half it
10% significance level becomes 5% on each side

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13
Q

Where is the expected value plotted on the bell curve?

A

At the peak of the curve (the centre)

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14
Q

Where should the test statistic be plotted on the bell curve?

A

As the critical value
Then, test whether this is true

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15
Q

What does the actual significance level of a test mean?

A

The probability of this test statistic falling in the critical region, assuming the null hypothesis is correct.
(if P = 0.02 so therefore 0.02 < 0.05 sig level, then the actual sig level is 2%)

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16
Q

What is the acceptance region?

A

Any region of the bell curve which is not shaded
(Can be used in conclusions when accepting null hypothesis: ‘The test statistic lies within the acceptance region therefore accept the null hypothesis’

17
Q

What is the critical value?

A

The first value to fall inside the critical region

18
Q

For critical region hypothesis testing, how do you input data into calculator?

A
  • Choose the list option in the calculator after going on binomial CD/PD
  • List test statistics necessary in X column
  • Press = and input n and p values
  • Accept the first value which is in the critical region and write a statement
19
Q

When reading calculator probabilities for critical region hypothesis testing, how do you decide which value to accept for both less than or more than the H0?

A

If you are looking for the critical value < H0,
choose the first value below the significance level
(if sig level is 5%, first value below 0.05)
If you are looking for the critical value > H0, choose the first value greater than 1 - significance level
(if sig level is 5%, the first value above 0.95)
Always +1 to the critical value for CV > H0