Which of the following is true ?

We do not use sample statistics when stating hypotheses

P-value = 0.05 means the probability that the null is true is 0.05

If the p-value is small enough, we can conclude that the alternate hypothesis is true

You must examine your data prior to deciding to do a 1- or 2-tailed test

Under what conditions would it be meaningful to construct a confidence interval estimate when the data consist of the entire population?

If the population size is large (n > 30)

If a higher level of confidence is desired

If the population is truly random

What type of error occurs when the null hypothesis is not true, but we fail to reject it?

This can be either Type I or Type II

Which of the following is true pertaining to a 2-proportion z-interval?

The population should be large, relative to each of the sample sizes

There are no restrictions on sample size

This interval can be found even if the samples are not random

So long as all conditions are met for one sample, you do not need to check conditions for the other sample

What additional condition must be checked for a 2-proportion test or interval compared to a 1-proportion test or interval?

You must make sure that the two samples are independent from one another

You must make sure that the samples are random

You must make sure that the sum of the samples' sizes are smaller than 10% of the whole population

The conditions are exactly the same

In a past General Social Survey, a random sample of men and women answered the question “Are you a member of any sports clubs?” Based on the sample data, 95% confidence intervals for the population proportion who would answer “yes” are .13 to .19 for women and .247 to .33 for men. Based on these results, you can reasonably conclude that

There is a difference between the proportions of American men and American women who belong to sports clubs.

At least 25% of American men and American women belong to sports clubs.

At least 16% of American women belong to sports clubs.

There is no conclusive evidence of a gender difference in the proportion belonging to sports clubs

Null and alternative hypotheses are statements about:

it depends - sometimes population parameters and sometimes sample statistics.

A test was conducted to see if there was evidence that more than 10% of the population is left-handed. Ho: p = 0.10, Ha: p >0.10. A p-value of 1.10 is found. What can we conclude?

The person who ran this test made an error

There is not evidence that more than 10% of people are left-handed

We can conclude that more than 10% of people are left-handed

There is evidence that more than 10% of people are left-handed

The null and alternative hypotheses divide all possibilities into:

two sets that may or may not overlap

as many sets as necessary to cover all possible outcomes

Inference for Proportions 1

Authored by KEITH LEHMAN

Mathematics

10th Grade - University

CCSS covered

Used 72+ times

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20 questions

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MULTIPLE CHOICE QUESTION

45 sec • 1 pt

If no alpha level is given, what alpha level is assumed?

0.01

0.05

0.10

0.25

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

If no p-hat value is given, what should you assume p-hat equals?

0.01

0.05

0.10

0.5

Tags

CCSS.HSS.MD.A.3

CCSS.HSS.MD.A.4

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Which of the following hypotheses is a valid example of a 1-tailed test?

Ho: p = 0.3, Ha: p > 0.4

Ho: p = 0.3, Ha: p ≠ 0.3

Ho: p^ = 0.3, Ha: p^ > 0.3

Ho: p = 0.3, Ha: p > 0.3

Tags

CCSS.HSS.IC.B.5

MULTIPLE CHOICE QUESTION

1 min • 1 pt

A confidence interval estimate is determined from the summer earnings of a SRS of n students. All other things being equal, which of the following will result in a smaller margin of error?

A greater confidence level

A larger sample standard deviation

A larger sample size

Introducing bias into sampling

Tags

CCSS.HSS.IC.B.4

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

Two confidence interval estimates from the same sample are (0.72, 0.83) and (0.75, 0.81). One is at 95%, the other is at 99%. Which is which?

(0.72, 0.83) is at 99%

(0.72, 0.83) is at 95%

Need to know sample size to determine this

Need to know standard error to determine this

Tags

CCSS.HSS.IC.B.4

CCSS.HSS.IC.A.1

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

When leaving for school, you make a judgement on these hypotheses. Ho: The weather will remain dry. Ha: It will rain. What are the results of the Type I and Type II errors?

Type I: Needlessly carry around an umbrella all day. Type II: Get drenched

Type I: Get drenched. Type II: Needlessly carry around an umbrella all day

Type I: Carry umbrella & it rains. Type II: Carry no umbrella & it doesn't rain

Type I: Get drenched. Type II: Carry umbrella & it rains

Tags

CCSS.HSS.MD.B.5

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Tina wants to know if the proportion of people who buy burgers is at all affected by her open mic reading. If p=0.8 before her reading, what is an appropriate set of hypotheses?

Ho: p = 0.8
Ha: p > 0.8

Ho: p = 0.8
Ha: p < 0.8

Ho: p ≠ 0.8
Ha: p = 0.8

Ho: p= 0.8
Ha: p ≠ 0.8

Tags

CCSS.HSS.IC.B.4

CCSS.HSS.IC.A.1

CCSS.HSS.ID.B.5

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Inference for Proportions 1

If no alpha level is given, what alpha level is assumed?

If no p-hat value is given, what should you assume p-hat equals?

Which of the following hypotheses is a valid example of a 1-tailed test?

A confidence interval estimate is determined from the summer earnings of a SRS of n students. All other things being equal, which of the following will result in a smaller margin of error?

Two confidence interval estimates from the same sample are (0.72, 0.83) and (0.75, 0.81). One is at 95%, the other is at 99%. Which is which?

When leaving for school, you make a judgement on these hypotheses. Ho: The weather will remain dry. Ha: It will rain. What are the results of the Type I and Type II errors?

Tina wants to know if the proportion of people who buy burgers is at all affected by her open mic reading. If p=0.8 before her reading, what is an appropriate set of hypotheses?

Which of the following is true?

Under what conditions would it be meaningful to construct a confidence interval estimate when the data consist of the entire population?

A credit card company would like to compare the proportion of people who have poor credit to the proportion of people who think they have poor credit. Which of the following is most appropriate?

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