11.1 Intro to Tests on  Mean

11.1 Intro to Tests on Mean

Assessment

Interactive Video

Mathematics

9th - 12th Grade

Easy

Created by

Erin Sallette

Used 5+ times

FREE Resource

5 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the parameter of interest for this problem?

p = the actual proportion of the stream that has a dissolved oxygen level below 5 mg/l.

μ= the actual mean dissolved oxygen level of the stream.

x-bar= the actual dissolved oxygen level of the samples of stream water.

p-hat= the actual proportion of the sample that has a dissolved oxygen level below 5 mg/l.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are the hypotheses for this test?

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3.

MULTIPLE SELECT QUESTION

45 sec • 1 pt

Select 2 answers that correspond with checking the following conditions:

Random Condition Check: Pick the correct check of this condition.​ ​ ​

Normal Condition Check: Pick the correct check of this condition.​

This was a random Sample
This was not a random sample; Proceed with Caution

The sample size is Large by the Central Limit Theorem, so this condition is satisfied.

The population is Normally Distributed, so this condition is satisfied.

The sample size is not Large by the Central Limit Theorem, but when you look at a graph (a boxplot or histogram) of the data, there are no signs of skewness or outliers, so this condition is satisfied (the t-procedure is robust enough for this situation).

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Using the sample mean, x-bar = 4.771, and sample standard deviation, s = 0.9396, and sample size n = 15, calculate the test statistic for this problem. (In your calculator this can be done with a 1-sample t-test, labeled "t-test" in the Tests menu.)

z = −0.94

t = −0.94, df = 14

t = 0.84, df = 14

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

If you were to have performed a 1 tail test at the α=0.05 significance level with the alternative hypothesis HA: μ > 31, with these data, would you have found evidence that the pineapples are larger?

Yes, because the P-value would have provided sufficient evidence to reject the null hypothesis.

Yes, because the P-value would not have provided sufficient evidence to reject the null hypothesis.