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3 years ago

The placebo effect is an example of a(n) experimenter bias. participant bias. random assignment bias. random selection bias.

Mathematics

1 answer:

densk [106]3 years ago

4 0

Answer:

participant bias

Step-by-step explanation:

Participant bias is sometimes called as subject bias. it is referred to as the tendency of a subject that forces them to act in an experiment. it is held because that they think researchers is looking up to them to act. it occurs only when the subject has detail knowledge about the study or project.

Participant bias is a subject initiative to know about the inner thought of the researcher so the subject acts according to what the researcher wants to hear.

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What are the 2 square roots of 196

Lisa [10]

There is only one square root of any number that has one. The square of 196 is 14 because 14 x 14 = 196.

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4 years ago

Which frame processing method causes a switch to wait until the first 64 bytes of the frame have been received before forwarding

malfutka [58]

Fragment free frame processing method causes a switch to wait until the first 64 bytes of the frame have been received before forwarding the frame to the destination device

Fragment free processing

An advanced type of cut-through switching is fragment-free (runtless switching). Before making a switching choice, switches engaged in cut-through switching merely read the Ethernet frame's destination MAC address field.

What distinguishes fragment-free switching from fast forward switching?

The latency in fast-forward mode is calculated between the first bit received and the first bit delivered. The most common cut-through switching technique is fast-forward switching. Switching without fragments: The switch stores the first 64 bytes of the frame in fragment-free switching before forwarding.

Learn more about frame here: brainly.com/question/19756844

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2 years ago

What is the range of 20,15,10,5

Sergio039 [100]

Answer:

Step-by-step explanation:

Since range is the difference between the highest valued character and the smallest

20-5=15

3 0

3 years ago

Help me please i am stuck and dont know how to do this

mars1129 [50]

X= 10 + 4y

I think anyways

5 0

3 years ago

Read 2 more answers

For the hypothesis test H0: μ = 10 against H1: μ >10 and variance known, calculate the Pvalue for each of the following test

Basile [38]

Answer:

a) $p_v =P(Z>2.05)=1-P(z$

b) $p_v =P(Z>-1.84)=1-P(z$

c) $p_v =P(Z>0.4)=1-P(z$

Step-by-step explanation:

Some previous concepts

The p-value is the probability of obtaining the observed results of a test, assuming that the null hypothesis is correct.

A z-test for one mean "is a hypothesis test that attempts to make a claim about the population mean(μ)".

The null hypothesis attempts "to show that no variation exists between variables or that a single variable is no different than its mean"

The alternative hypothesis "is the hypothesis used in hypothesis testing that is contrary to the null hypothesis"

Hypothesis

Null hypothesis: $\mu=10$

Alternative hypothesis: $\mu >10$

If the random variable is distributed like this: $X \sim N(\mu,\sigma)$

We assume that the variance is known so the correct test to apply here is the z test to compare means, the statistic is given by the following formula:

$z_o=\frac{\bar X -\mu}{\sigma}$

Since we have the values for the statistic already calculated we can calculate the p value using the following formulas:

Part a

$p_v =P(Z>2.05)=1-P(z$

And in order to find the answer using excel we can use the following code:

"=1-NORM.DIST(2.05,0,1,TRUE)"

Part b

$p_v =P(Z>-1.84)=1-P(z$

And in order to find the answer using excel we can use the following code:

"=1-NORM.DIST(-1.84,0,1,TRUE)"

Part c

$p_v =P(Z>0.4)=1-P(z$

And in order to find the answer using excel we can use the following code:

"=1-NORM.DIST(0.4,0,1,TRUE)"

Conclusions

If we use a reference value for the significance, let's say $\alpha=0.05$ . For part a the $p_v$ so then we can reject the null hypothesis at this significance level.

For part b the $p_v>\alpha$ so then we FAIL to reject the null hypothesis at this significance level.

For part c the $p_v>\alpha$ so again we FAIL to reject the null hypothesis at this significance level.

3 0

3 years ago