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3 years ago

Determine the area based on the house plan. Kitchen area:

Mathematics

2 answers:

expeople1 [14]3 years ago

8 0

32 is the answer of the kitchen

ArbitrLikvidat [17]3 years ago

5 0

Answer:

66 or 32

Step-by-step explanation:

5+3+4+3+5+4+2+3+4= Hope it helps!!1

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Whatbis the missing numerator of [2]5/6=?/6

Eva8 [605]

Answer:

Step-by-step explanation:

2* 5/6 = x/6

10/6 = x/6

Since the denominators are the same, the numerators are the same

x=10

5 0

3 years ago

Solve for x: -4X – 4 = -4(X + 2)

tester [92]

Answer:

there are no solutions

Step-by-step explanation:

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3 years ago

People tend to evaluate the quality of their lives relative to others around them (Frieswijk et al., 2004). In one study, resear

Alborosie

Answer:

Step-by-step explanation:

Hello!

Research.

n=9 frail elderly were interview and compared to a fictitious person who was worse off then the interviewee, a life-satisfaction score was determined for each person.

18, 23, 24, 22, 19, 27, 23, 26, 25

Assuming that the population average score is μ= 20, the researchers think that the elderly in the sample are more or less satisfied than others in the general population.

a. You have the information of one sample, assuming this sample has a normal distribution and each elderly interviewed is independent, then the t-test of choice is a one-sample t-test.

b. and c. If you say that the elderly are "more or less" satisfied than the others, this means that they are either as satisfied as to the general population or not satisfied as to the general population. Symbolically:

H₀: μ = 20

H₁: μ ≠ 20

This is a two-tailed test, meaning, you will have two critical regions.

α: 0.05

Left critical value: $t_{n-1;/\alpha 2} = t_{8; 0.025}= -2.306$

Right critical value: $t_{n-1;1-\alpha /2} = t_{8;0.975} = 2.306$

$t_{H_0}= \frac{X[bar]-Mu}{\frac{S}{\sqrt{n} } } ~t_{n-1}$

X[bar]= 23

S= 3

$t_{H_0}= \frac{23-20}{\frac{3}{\sqrt{9} } }= 3$

Considering that the calculated t-value is greater than the right critical value, the decision is to reject the null hypothesis, so using a significance level of 5% you can conclude that the average life-satisfaction score of the elderly is different than 20.

I hope it helps!