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Illusion [34]
2 years ago
7

Select the correct answer. what is the variable being tested in an experiment? a. placebo b. response variable c. control variab

le d. explanatory variable
Mathematics
2 answers:
Darya [45]2 years ago
4 0

The variable being tested in an experiment is the (b) response variable

<h3>How to determine the variable name?</h3>

The statement is given as:

<em>what is the variable being tested in an experiment?</em>

As a general rule, the variable being tested in an experiment is referred to as the dependent variable

The dependent variable is represented with y and it is also known as the response variable

Hence, the variable being tested in an experiment is the (b) response variable

Read more about response variable at

brainly.com/question/14662435

#SPJ1

Step2247 [10]2 years ago
4 0

Answer:

explanatory variable

Step-by-step explanation:

plato 2022

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The number of "destination weddings" has skyrocketed in recent years. For example, many couples are opting to have their wedding
melamori03 [73]

Answer:

We conclude that the mean wedding cost is less than $30,000 as advertised.

Step-by-step explanation:

We are given the following data set:(in thousands)

29100, 28500, 28800, 29400, 29800, 29800, 30100, 30600

Formula:

\text{Standard Deviation} = \sqrt{\displaystyle\frac{\sum (x_i -\bar{x})^2}{n-1}}  

where x_i are data points, \bar{x} is the mean and n is the number of observations.  

Mean = \displaystyle\frac{\text{Sum of all observations}}{\text{Total number of observation}}

Mean =\displaystyle\frac{236100}{8} = 29512.5

Sum of squares of differences = 3408750

S.D = \sqrt{\frac{3408750}{7}} = 697.82

Population mean, μ = $30,000

Sample mean, \bar{x} = $29512.5

Sample size, n = 8

Alpha, α = 0.05

Sample standard deviation, s = $ 697.82

First, we design the null and the alternate hypothesis

H_{0}: \mu = 30000\text{ dollars}\\H_A: \mu < 30000\text{ dollars} We use one-tailed t test to perform this hypothesis.

Formula:

t_{stat} = \displaystyle\frac{\bar{x} - \mu}{\frac{s}{\sqrt{n}} }

Putting all the values, we have

t_{stat} = \displaystyle\frac{29512.5 - 30000}{\frac{697.82}{\sqrt{8}} } = -1.975

Now,

t_{critical} \text{ at 0.05 level of significance, 7 degree of freedom } = -1.894

Since,                  

t_{stat} < t_{critical}

We fail to accept the null hypothesis and reject it.

We conclude that the mean wedding cost is less than $30,000 as advertised.

8 0
4 years ago
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Equation is
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