sjeikdom0

2020-11-01

Answer true or false to each statement. Explain your answers.

a. Two normal distributions that have the same mean are centered at the same place, regardless of the relationship between their standard deviations.

b. Two normal distributions that have the same standard deviation have the same spread, regardless of the relationship between their means.

a. Two normal distributions that have the same mean are centered at the same place, regardless of the relationship between their standard deviations.

b. Two normal distributions that have the same standard deviation have the same spread, regardless of the relationship between their means.

SchulzD

Skilled2020-11-02Added 83 answers

Step 1

The mean represents the average and it determines the centre of the distribution and the standard deviation represents the spread of the distribution.

Step 2

a) Here, it is observed that the mean determines the center of the distribution. Thus, it can be concluded that two normal distributions having the same mean are centered at the same place. Thus, the given statement is true.

b) Here, it is observed that the standard deviation determines the spread of the distribution. Thus, it can be concluded that two normal distributions that have the same standard deviation have the same spread. Thus, the given statement is true.

The mean represents the average and it determines the centre of the distribution and the standard deviation represents the spread of the distribution.

Step 2

a) Here, it is observed that the mean determines the center of the distribution. Thus, it can be concluded that two normal distributions having the same mean are centered at the same place. Thus, the given statement is true.

b) Here, it is observed that the standard deviation determines the spread of the distribution. Thus, it can be concluded that two normal distributions that have the same standard deviation have the same spread. Thus, the given statement is true.

Read carefully and choose only one option

A statistic is an unbiased estimator of a parameter when (a) the statistic is calculated from a random sample. (b) in a single sample, the value of the statistic is equal to the value of the parameter. (c) in many samples, the values of the statistic are very close to the value of the parameter. (d) in many samples, the values of the statistic are centered at the value of the parameter. (e) in many samples, the distribution of the statistic has a shape that is approximately NormalConstruct all random samples consisting three observations from the given data. Arrange the observations in ascending order without replacement and repetition.

86 89 92 95 98.Find the mean of the following data: 12,10,15,10,16,12,10,15,15,13.

The equation has a positive slope and a negativey-intercept.

1) y=−2x−3

2) y=2−3x

3) y=2+3x

4) y=−2+3xWhat term refers to the standard deviation of the sampling distribution?

Fill in the blanks to make the statement true: $30\%of\u20b9360=\_\_\_\_\_\_\_\_$.

What percent of $240$ is $30$$?$

The first 15 digits of pi are as follows: 3.14159265358979

The frequency distribution table for the digits is as follows:

$\begin{array}{|cc|}\hline DIGIT& FREQUENCY\\ 1& 2\\ 2& 1\\ 3& 2\\ 4& 1\\ 5& 3\\ 6& 1\\ 7& 1\\ 8& 1\\ 9& 3\\ \hline\end{array}$

Which two digits appear for 3 times each?

A) 1, 7

B) 2, 6

C) 5, 9<br<D) 3, 8How to write

as a percent?$\frac{2}{20}$ What is the simple interest of a loan for $1000 with 5 percent interest after 3 years?

What number is 12% of 45?

The probability that an automobile being filled with gasoline also needs an oil change is 0.30; the probability that it needs a new oil filter is 0.40; and the probability that both the oil and the filter need changing is 0.10. (a) If the oil has to be changed, what is the probability that a new oil filter is needed? (b) If a new oil filter is needed, what is the probability that the oil has to be changed?

Leasing a car. The price of the car is$45,000. You have $3000 for a down payment. The term of the lease is and the interest rate is 3.5% APR. The buyout on the lease is51% of its purchase price and it is due at the end of the term. What are the monthly lease payments (before tax)?

The mean of sample A is significantly different than the mean of sample B. Sample A: $59,33,74,62,87,73$ Sample B: $53,67,72,57,93,79$ Use a two-tailed $t$-test of independent samples for the above hypothesis and data. What is the $p$-value?

What is mean and its advantages?