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poizon [28]
4 years ago
9

A clinical psychologist wants to test whether experiencing childhood trauma reduces one's self-efficacy in adulthood. He randoml

y selects 22 adults who have experienced childhood trauma and finds that their mean self-efficacy score equals 118.1. Self-efficacy scores in the general population of adults are distributed normally with a mean equal to 118.5 and a standard deviation equal to 18.8 . Is there sufficient evidence to conclude that individuals who have experienced childhood trauma have lower self-efficacy in adulthood
Mathematics
1 answer:
lidiya [134]4 years ago
4 0

Answer:

No, there is not any sufficient evidence to conclude that individuals who have experienced childhood trauma have lower self-efficacy in adulthood.

Step-by-step explanation:

We are given that a clinical psychologist wants to test whether experiencing childhood trauma reduces one's self-efficacy in adulthood.

He randomly selects 22 adults who have experienced childhood trauma and finds that their mean self-efficacy score equals 118.1.

Self-efficacy scores in the general population of adults are distributed normally with a mean equal to 118.5 and a standard deviation equal to 18.8 .

<em>Let </em>\mu<em> = mean self-efficacy score.</em>

So, Null Hypothesis, H_0 : \mu \geq 118.5      {means that the individuals who have experienced childhood trauma have higher or same self-efficacy in adulthood}

Alternate Hypothesis, H_A : \mu < 118.5    {means that the individuals who have experienced childhood trauma have lower self-efficacy in adulthood}

The test statistics that would be used here <u>One-sample z test statistics</u> as we know about the population standard deviation;

                      T.S. =  \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } }  ~ N(0,1)

where, \bar X = sample mean self-efficacy score = 118.1

            \sigma = population standard deviation = 18.8

          n = sample of adults who have experienced childhood trauma = 22

So, <u><em>test statistics</em></u>  =  \frac{118.1-118.5}{\frac{18.8}{\sqrt{22} } }  

                              =  -0.0998

The value of z test statistics is -0.0998.

Since, in the question we are not given with the level of significance so we assume it to be 5%. <u>Now, at 5% significance level the z table gives critical value of -1.645 for left-tailed test.</u>

Since our test statistic is more than the critical value of z as -0.0998 > -1.645, so we have insufficient evidence to reject our null hypothesis as it will not fall in the rejection region due to which <u>we fail to reject our null hypothesis</u>.

Therefore, we conclude that the individuals who have experienced childhood trauma have higher or same self-efficacy in adulthood.

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Answer:

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Step-by-step explanation:

We are given that

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We know that

Exterior angle=Sum of opposite interior angles of triangle

Using the property

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Subtract 85 from both sides we get

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Option B is true.

B. x = 62 because 147 – 85 = 62 and 85 + 62 = 147

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7nadin3 [17]

Answer:

  1. Number of bracelet Jessica can make in 30 minutes=2
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Step-by-step explanation:

  • <u>Unitary method</u>

Number of bracelet Jessica can make in 30 minutes=2

Number of bracelet Jessica can make in 180 minutes=(180×2)/30=12

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  • <u>Arithmetic method</u>

Number of bracelet made by Jessica is directly proportional to the time taken by her.

Number of bracelet made by Jessica=k×time taken by her, where k is a constant

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Step-by-step explanation:

A perfect square is basically some number multiplied by itself. For example, 4 is a perfect square because 2x2=4.

22 x 22 = 484 (under 500)

23 x 23 = 529 (over 500)

Therefore, the perfect square must be 484.

Subtract 484 from 500:

500 - 484 = 16

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