Which of the following correspond to Descriptive Statistics?

Bar charts, Boxplots, Tables, Numerical summaries

Which of the following is not a task of inferential statistics?

Organizing the data into frequency tables

When setting up hypotheses for a test, the research hypothesis (what you are hoping to be able to prove) should be:

housed in the alternative hypothesis

A possible outcome of a hypothesis testing procedure is:

concluding that the null hypothesis is false, at a significance level alpha

When using a χ^2 test for homogeneity, goodness-of-fit, or independence, the rejection region:

can only be the right tail of a χ^2distribution w/df depending on problem

When building a confidence interval, the margin of error:

gets smaller if we increase the sample size

Statistics involves all of the following, except...

Selecting a mascot for your sports team

When making inference about a mean or a proportion, the types of tests possible are:

left-tailed tests, right-tailed tests and two-tailed tests

The two main type of tasks in Statistics are

Descriptive and Inferential Statistics

When making inference about a single population proportion...

we need to check for at least 5 successes and 5 failures in the sample

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Math 131 Final Day Quiz

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Answers

1
Which of the following correspond to Descriptive Statistics?
Bar charts
Boxplots
Confidence intervals
Hypothesis tests
Tables
Numerical summaries
2
Which of the following is not a task of inferential statistics?
Organizing the data into frequency tables
Estimating parameters such as means and proportions
Providing margins of error for estimates
Assessing whether the data are in support of a null hypothesis
3
When setting up hypotheses for a test, the research hypothesis (what you are hoping to be able to prove) should be:
split between the null and alternative hypotheses
housed in the alternative hypothesis
housed in the null hypothesis
ignored altogether
4
A possible outcome of a hypothesis testing procedure is:
concluding that the alternative hypothesis is false, at a significance beta
concluding that the null hypothesis is false, at a significance level alpha
concluding that the null hypothesis is true, at a significance level alpha
concluding that both the null and alternative hypotheses are true
5
When using a χ^2 test for homogeneity, goodness-of-fit, or independence, the rejection region:
can be the left tail, or the right tail, or both, of a Z-distribution
can only be the right tail of a χ^2distribution w/df depending on problem
can only be the left tail of a t-distribution w/ (n-1) degrees of freedom
can be the left tail, or the right tail, or both, of a t-distribution
6
When building a confidence interval, the margin of error:
is always negligible
gets smaller if we increase the sample size
stays constant no matter the sample size
gets larger if we increase the sample size
7
Statistics involves all of the following, except...
Preparing data for descriptive analysis
Selecting a mascot for your sports team
Designing surveys and sampling protocols to obtain data
Analyzing data and reaching conclusions
8
Probability is...
A measure of correctness
A measure of likelihood
A measure of length
A measure of truth
9
When making inference about a mean or a proportion, the types of tests possible are:
left-tailed tests, right-tailed tests and multiple tests
left-tailed tests, right-tailed tests and two-tailed tests
left-tailed tests and nonparametric tests
pop quiz tests and multiple choice tests
10
The two main type of tasks in Statistics are
Descriptive and Interference Statistics
Descriptive and Inferential Statistics
Destructive and Inferential Statistics
Descriptive and Prescriptive Statistics
11
When an event is very likely, it is statistically...
significant
outlier
not significant
fashionable
12
Assessing whether a weight-loss program is effective by using initial and final weights of participants will result in
inference with independent samples, equal but uknown variances
inference with a chi-squared test
inference with matched pairs
inference with independent samples, unequal and unknown variances
13
When making inference about a single population proportion...
it is not necessary for the sample to be random
we need to check that the data come from a normal distribution
we need to check for at least 5 successes and 5 failures in the sample
we will make use of a t-distribution with n-1 degrees of freedom

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