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joja [24]
2 years ago
10

How do you calculate the standard error of the mean in SPSS?

Mathematics
1 answer:
mario62 [17]2 years ago
8 0

Answer:

Hope this helps

Step-by-step explanation:

Std Error Mean – Standard Error Mean is the estimated standard deviation of the sample mean. This value is estimated as the standard deviation of one sample divided by the square root of sample size: 9.47859/sqrt(200) = . 67024, 10.25294/sqrt(200) = . 72499.

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Please answer with work explanation (if possible)
andrey2020 [161]

Answer:

$357.42

Step-by-step explanation:

So first I multiplied $425.50 by 20%.

$425.50 * 0.20=  85.10

$425.50- 85.10= $340.40

$340.40 * 0.05 = $17.02

$340.40 * 0.07 = $23.828

$340.40 + 23.828 + 17.02= $ 357.42

The sale price of Dean's guitar is $357.42.

4 0
2 years ago
What is the value of x?
trapecia [35]
3/4 = x / 7.5
4x = 3(7.5)
4x = 22.5
  x = 5.625
8 0
3 years ago
What is the sum of (7x - 6y) and (x plus y)
Ymorist [56]
Heya user

we have

7x - 6y and x + y

according to the question

( 7x - 6y ) + ( x + y )

→ 7x - 6 y +x + y

→ 8x - 5y

Hope This helps you
3 0
3 years ago
Trucks in a delivery fleet travel a mean of 120 miles per day with a standard deviation of 18 miles per day. The mileage per day
kvv77 [185]

The probability that a truck drives between 150 and 156 miles in a day is 0.0247. Using the standard normal distribution table, the required probability is calculated.

<h3>How to calculate the probability distribution?</h3>

The formula for calculating the probability distribution for a random variable X, Z-score is calculated. I.e.,

Z = (X - μ)/σ

Where X - random variable; μ - mean; σ - standard deviation;

Then the probability is calculated by P(Z < x), using the values from the distribution table.

<h3>Calculation:</h3>

The given data has the mean μ = 120 and the standard deviation σ = 18

Z- score for X =150:

Z = (150 - 120)/18

   = 1.67

Z - score for X = 156:

Z = (156 - 120)/18

  = 2

So, the probability distribution over these scores is

P(150 < X < 156) = P(1.67 < Z < 2)

⇒ P(Z < 2) - P(Z < 1.67)

From the standard distribution table,

P(Z < 2) = 0.97725 and P(Z < 1.67) = 0.95254

On substituting,

P(150 < X < 156) = 0.97725 - 0.95254 = 0.02471

Rounding off to four decimal places,

P(150 < X < 156) = 0.0247

Thus, the required probability is 0.0247.

Learn more about standard normal distribution here:

brainly.com/question/26822684

#SPJ1

5 0
1 year ago
Please please help!!! I really need help on this quarion and I keep getting it wrong :(
Marta_Voda [28]

Answer:

f(x)=x^2+4\\g(x)=4x

(f+g)(x)=x^2+4+4x\\(f+g)(x)=x^2+4x+4

------------------------------------------------------------------

(f-g)(x)=x^2+4-(4x)\\(f-g)(x)=x^2+4-4x\\(f-g)(x)=x^2-4x+4\\

-----------------------------------------------------------------

(f*g)(x)=(x^2+4)(4x)\\(f*g)(x)=4x^3+16x

-----------------------------------------------------------------

(\frac{f}{g})(x)= \frac{x^2+4}{4x} \\

8 0
3 years ago
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