t-test
Type I & Type II Errors
CI & Margin of Error
Statistical Significance
Null vs Research
100
T-tests are ________ statistics.

Inferential 

100

A False positive is a ... error.

Type I 

100
The most common confidence level percentage is...

95%

100

The smaller the p-value, the stronger the evidence FOR the ________ hypothesis.

RESEARCH

100

A null hypothesis means there is...

NO difference

200

T-tests compare the means of how many groups?

Two

200

A false negative is a ... error.

Type II

200

Margin of Error is expressed with a ______ sign.

+/-

200

The most common alpha level is ______, or ____%.

0.05, 5

200

A research hypothesis means there is

A DIFFERENCE

300

Independent samples are used for _______ subjects.

Between

300

A Type I Error means the null hypothesis is _____, BUT the null hypothesis was ______.

TRUE, REJECTED

300

Confidence Intervals are written as [____, ____]

Lower Limit, Upper Limit

300

To accept a research hypothesis, the p-value should be less than _____ .

0.05

300

Rejecting the null hypothesis is _________ the research hypothesis.

Accepting

400

Paired samples are used for _______ subjects.

Within

400

A Type II Error means the null hypothesis is _____, BUT the null hypothesis was _____.

FALSE, ACCEPTED

400

Margin of Error is ______ the width of the Confidence Interval

Half

400

TRUE OR FALSE

p=0.34 is statistically significant

FALSE

400

The population means are NOT equal in a _______ hypothesis.

RESEARCH

500

The 3 assumptions for a t-test

1. Is Independent

2. Normally Distributed

3. Similar Variance

500

If a child is NOT diagnosed with ADHD, but has ADHD, it is a ___ ___ error.

Type II

500

If a professor is 89% sure that the class prepared for the upcoming exam with a margin of error of +/-4, what is the confidence interval?

[85%, 93%]

500

TRUE OR FALSE

A p-value below the common alpha level does NOT have statistical significance.

FALSE

500

In a ______ hypothesis, the IV has NO effect.

Null