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Statistical Tests with TI-84

Statistical Tests with TI-84

Assessment

Interactive Video

•

Mathematics

•

9th - 10th Grade

•

Practice Problem

•

Hard

Created by

Thomas White

FREE Resource

The video tutorial covers the use of statistics to determine population proportions and how to estimate these using samples. It explains how to use a TI-84 calculator to calculate confidence intervals and perform hypothesis tests for both one and two sample proportions. The tutorial provides step-by-step instructions for setting up and interpreting these statistical tests, including the use of Z-tests and T-tests for sample means.

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29 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary goal when examining a population in statistics?

To identify the median income

To determine the average age

To find the proportion with a specific trait

To calculate the total population size

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the first step in using a TI-84 calculator for statistical tests?

Press the 'Mode' button

Go to 'Stat' and scroll to 'Test'

Enter the sample data

Select the 'Graph' option

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of using a TI-84 calculator in statistics?

To draw graphs

To perform arithmetic operations

To calculate statistical tests and intervals

To store data

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which calculator function is used to find confidence intervals for one sample proportion?

One Prop Z Test

Two Sample T-Test

One Prop Z Int

Two Prop Z Int

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does 'X' represent when calculating a confidence interval for a sample proportion?

Total sample size

Confidence level

Number of successes

Number of failures

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How is a 95% confidence level expressed in decimal form?

0.95

0.99

0.85

0.75

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the 'c-level' represent in a confidence interval calculation?

The number of successes

The total sample size

The mean of the sample

The confidence level

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