Chapter 9 Flashcards

1
Q

Null Hypothesis

A

Tends to represent the some status quo. I.E Half of freshmen

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2
Q

Alternative Hypothesis

A

Which represents some possible alternative to that which is established in the null. I.E More than half of freshmen.

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3
Q

P-value

A

The probability of getting results at least as unexpected as what we observe if the null hypothesis were true.

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4
Q

When the p-value is _____, our observation would be really unlikely if the _____ hypothesis were true

A

small, null.

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5
Q

When the p-value is _____, our observations happen fairly often just by chance when the ____ hypothesis is correct.

A

large, null.

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6
Q

Significance level icythys

A

ictyys-=.05. The cutoff between large and small p-value.

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7
Q

Steps to Performing a Significance Test

A

1) Identify Hypothesis.
2. Check Conditions for Model- Can we use the normal or T for our sampling distribution?
3. Mechanics- Find the test statistic and p-value.
4) Make conclusions about the hypothesis.

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8
Q

Null Hypothesis

A

H0:p=p). A placeholder value that is replaced with a value between - and 1

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9
Q

Alternate Hypothesis 3 Forms

A

Ha:pp0 right tailed test, two tailed teste
Ha: p is not equal to p0 two-way test- two tailed test.

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10
Q

What are the conditions for the model?

A

Randomization

Sample size np>15. Nq>15. Note make sure to use the null hypothesis value for p and not p hat.

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11
Q

Test Statistic

A

(p-hat-pzero)/ sqrt[(po)(qo)/n)]

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12
Q

Conclussion

A

If p-value is less than icythys reject null hypothesisd. There is sufficient evidence at icythys that Ha is true.

If p-value is greater than icythys fail to reject null hypothesis. There is insufficient evidence at icythys that Ha is true.

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13
Q

Null Hypothesis for Means

A

H0: mu-mu0

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14
Q

Alternate Hypothesis Means

A

Ha: mumu0 right tailed test, one tailed test.
Ha: mu does not equal mu0 two sided test, two-tailed test.

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15
Q

What’s a good general rule for T vs Z- tests?

A

T Test for means z test for proportions.

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16
Q

What are the two conditions for a model fro means?

A

1) Randomization
2) Nearly normal.
a) Population is approximately normal and bell-shaped.
B) The distirbution of the data is approximately bell-shaped
C) sample size is at least 30. (Central limit theorem.)

17
Q

T-test statistic

A

(xbar-mu)/ s * sqrt(N)

18
Q

Type 1 Error

A

Occurs when we reject the null hypothesis that was actually true.

19
Q

Type Two Errors

A

Occurs when we do not reject the null hypothesis. But it is false.