Dillard
2021-02-11
Answered

Which one of the following is NOT a condition for inference comparing two means? both populations are Normally distributed the two sample sizes must be equal populations must be distinct independent simple random samples from two populations

You can still ask an expert for help

gwibdaithq

Answered 2021-02-12
Author has **84** answers

It is not necessary while comparing two means that the two sample sizes must be equal.

asked 2020-11-01

Solve the following problems applying Polya’s Four-Step Problem-Solving strategy.

If six people greet each other at a meeting by shaking hands with one another, how many handshakes take place?

If six people greet each other at a meeting by shaking hands with one another, how many handshakes take place?

asked 2021-03-02

In how many ways can 7 graduate students be assigned to 1 triple and 2 double hotel rooms during a conference

asked 2022-01-19

The number of cases of tetanus reported in the US in a single month has a Poisson distribution with a parameter of $\lambda =4.0.$ What is the probability that exactly one case of tetanus will be reported?

asked 2021-08-02

A group of scientists studied the adhesion of various biofilms to solid surfaces for possible use in environmental technologies. Adhesion assay is conducted by measuring absorbance at A590. If the scientists want the confidence interval to be no wider than 0.55 $dy\ne -c{m}^{2}$ at $98\mathrm{\%}$ confidence interval, how many observations should they take? Assume that the standard deviation is known to be 0.66 $dy\ne -c{m}^{2}$

CHOOSE THE RIGHT ANSWER:

a.39

b.21

c.16

d.25

e.18

f.32

CHOOSE THE RIGHT ANSWER:

a.39

b.21

c.16

d.25

e.18

f.32

asked 2021-01-31

Explain and give a full and correct answer how confusing the two (population and a sample) can lead to incorrect statistical inferences.

asked 2021-01-23

asked 2022-03-25

Confidence interval; exponential distribution (normal or student approximation?)

Let's say we have got a sample of size n from an exponential distribution with an unknown mean$\lambda$ .

We want to construct a confidence interval and so we can compare this:

$\frac{\stackrel{\u2015}{X}-\lambda}{\sqrt{\frac{{S}^{2}}{n}}}$

to a student t-distribution with$n-1$ degrees of freedom.

However, as in the case of the exponential distribution, we know that$Var\left[X\right]={\left(E\left[X\right]\right)}^{2}$ , so rather than introducing an estimator for variance, we can simply use one estimator, i.e:

$\frac{\stackrel{\u2015}{X}-\lambda}{\sqrt{\frac{{\stackrel{\u2015}{X}}^{2}}{n}}}.$

And now the question is:

Do we compare this statistic with normal distribution or again with student t-distribution?

Let's say we have got a sample of size n from an exponential distribution with an unknown mean

We want to construct a confidence interval and so we can compare this:

to a student t-distribution with

However, as in the case of the exponential distribution, we know that

And now the question is:

Do we compare this statistic with normal distribution or again with student t-distribution?