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3 years ago

What type of research relies on the researcher's first-hand observations of participants in naturally occurring contexts?

Mathematics

1 answer:

777dan777 [17]3 years ago

6 0

Answer:

Qualitative Research

Step-by-step explanation:

In this type of research there is focus to collect data which is non numerical. This type of research tries to ask questions that relate to why and how something occurs rather than how many times it occurs.

Case study is an example of qualitative research. Quantitative research depends on the mathematical formulations and relations to come to a conclusion while qualitative research does not.

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How do you write 1.25 into a fraction

kvasek [131]

25/100
because the 1. is more than 25 so it go to 100th

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3 years ago

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HURRY!!! Find a unit rate: You bought 10 pounds of potatoes for $4

sergeinik [125]

2.5 pounds of potatoes per dollar

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4 years ago

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Let f(x)=3x^2+6x find f(2) A.-4 B. 0 C. 4 D. 8

Anon25 [30]

Answer:

B maybe? that doesnt equal any

Step-by-step explanation:

f(x)=3x^2+6x

f(2)=3(2)^2+6(2)

f(2)=3(4)+12

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4 years ago

Two machines are used for filling glass bottles with a soft-drink beverage. The filling process have known standard deviations s

stellarik [79]

Answer:

a. We reject the null hypothesis at the significance level of 0.05

b. The p-value is zero for practical applications

c. (-0.0225, -0.0375)

Step-by-step explanation:

Let the bottles from machine 1 be the first population and the bottles from machine 2 be the second population.

Then we have $n_{1} = 25$ , $\bar{x}_{1} = 2.04$ , $\sigma_{1} = 0.010$ and $n_{2} = 20$ , $\bar{x}_{2} = 2.07$ , $\sigma_{2} = 0.015$ . The pooled estimate is given by

$\sigma_{p}^{2} = \frac{(n_{1}-1)\sigma_{1}^{2}+(n_{2}-1)\sigma_{2}^{2}}{n_{1}+n_{2}-2} = \frac{(25-1)(0.010)^{2}+(20-1)(0.015)^{2}}{25+20-2} = 0.0001552$

a. We want to test $H_{0}: \mu_{1}-\mu_{2} = 0$ vs $H_{1}: \mu_{1}-\mu_{2} \neq 0$ (two-tailed alternative).

The test statistic is $T = \frac{\bar{x}_{1} - \bar{x}_{2}-0}{S_{p}\sqrt{1/n_{1}+1/n_{2}}}$ and the observed value is $t_{0} = \frac{2.04 - 2.07}{(0.01246)(0.3)} = -8.0257$ . T has a Student's t distribution with 20 + 25 - 2 = 43 df.

The rejection region is given by RR = {t | t < -2.0167 or t > 2.0167} where -2.0167 and 2.0167 are the 2.5th and 97.5th quantiles of the Student's t distribution with 43 df respectively. Because the observed value $t_{0}$ falls inside RR, we reject the null hypothesis at the significance level of 0.05