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Natasha2012 [34]
3 years ago
13

can someone help me with this.( Rational and Irrational numbers. Convert the repeating decimal into fraction​)

Mathematics
1 answer:
nydimaria [60]3 years ago
3 0
1 and 127/495
You can check the picture for work.

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(3b-5)^2-c^2 how do I factor this using grouping?
klemol [59]
So you see it is the difference of 2 perfect squares
a^2-b^2=(a+b)(a-b)
so
(3b-5)^2-c^2=(3b-5+c)(3b-5-c)
3 0
3 years ago
An unknown number is half the product of 4 and 12 the number is ?
pochemuha
Let's use n to represent the unknown number:
n  = 4*12/2
=48/2
= 24
The unknown number is 24
3 0
3 years ago
Do positive or negative messages have a greater effect on behavior? Forty-two subjects were randomly assigned to one of two trea
Alex_Xolod [135]

Answer:

We conclude that a negative message results in a lower mean score than positive message.

Step-by-step explanation:

We are given that Forty-two subjects were randomly assigned to one of two treatment groups, 21 per group.

The 21 subjects receiving the negative message had a mean score of 9.64 with standard deviation 3.43; the 21 subjects receiving the positive message had a mean score of 15.84 with standard deviation 8.65.

<em>Let </em>\mu_1<em> = population mean score for negative message</em>

<em />\mu_2<em> = population mean score for positive message</em>

SO, Null Hypothesis, H_0 : \mu_1-\mu_2\geq0  or  \mu_1\geq \mu_2    {means that a negative message results in a higher or equal mean score than positive message}

Alternate Hypothesis, H_A : \mu_1-\mu_2  or  \mu_1   {means that a negative message results in a lower mean score than positive message}

The test statistics that will be used here is <u>Two-sample t test statistics</u> as we don't know about the population standard deviations;

                     T.S.  = \frac{(\bar X_1-\bar X_2)-(\mu_1-\mu_2)}{s_p\sqrt{\frac{1}{n_1}+\frac{1}{n_2}  } }  ~ t__n__1+_n__2-2

where, \bar X_1 = sample mean score for negative message = 9.64

\bar X_2 = sample mean score for positive message = 15.84

s_1 = sample standard deviation for negative message = 3.43

s_2 = sample standard deviation for positive message = 8.65

n_1 = sample of subjects receiving the negative message = 21

n_2 = sample of subjects receiving the positive message = 21

Also, s_p=\sqrt{\frac{(n_1-1)s_1^{2}+(n_2-1)s_2^{2}  }{n_1+n_2-2} }  =  \sqrt{\frac{(21-1)\times 3.43^{2}+(21-1)\times 8.65^{2}  }{21+21-2} }  = 6.58

So, <u><em>the test statistics</em></u>  =  \frac{(9.64-15.84)-(0)}{6.58 \times \sqrt{\frac{1}{21}+\frac{1}{21}  } }  ~  t_4_0

                                     =  -3.053

<em>Now at 0.05 significance level, the t table gives critical value of -1.684 at 40 degree of freedom for left-tailed test. Since our test statistics is less than the critical value of t as -3.053 < -1.684, so we have sufficient evidence to reject our null hypothesis as it will fall in the rejection region due to which we reject our null hypothesis.</em>

Therefore, we conclude that a negative message results in a lower mean score than positive message.

7 0
3 years ago
I need the answer for these.<br> 1a: <br> 1b:<br> 1c:
Greeley [361]

a.\\8:\dfrac{1}{2}\cdot3=8\cdot\dfrac{2}{1}\cdot3=8\cdot2\cdot3=16\cdot3=48\\\\b.\\3\sqrt{50-1}=3\sqrt{49}=3\cdot7=21\\\\c.\\\dfrac{(5+2)(-8)}{(-2)^3-3}=\dfrac{7(-8)}{-8-3}=\dfrac{-56}{-11}=\dfrac{56}{11}=5\dfrac{1}{11}

7 0
3 years ago
Module 4 End Test Study
Snowcat [4.5K]
You'd do $500 x 0.15 to which gives you 75$ in tax. $500 + $75 = $575 selling price
5 0
3 years ago
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