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raketka [301]
2 years ago
12

Find the missing quantity in the double number line.

Mathematics
2 answers:
leonid [27]2 years ago
8 0

Answer: 7

Step-by-step explanation:

just use a comparison

3/12 = x/28

1/4 = x/28

x = 7

larisa [96]2 years ago
8 0

Answer:

szxdcfgvhbjnk

Step-by-step explanation:

You might be interested in
Y=2x-3 what is the slope and what is the y-intercept
Ipatiy [6.2K]

Answer: THe slope is 2 and y intercept is -3

Step-by-step explanation:

6 0
2 years ago
Read 2 more answers
How would I solve the problem:<br> e^4x=120
borishaifa [10]
Answer:  x =  1.1968729357 ;  or, round to: 1.2 .
____________________________________________ You would take the "ln" (that is, "natural logarithm") of EACH side of the equation:

ln (e^4x) = ln (120); 
______________________
Then continue:

4x  ln e = ln 120

4x = ln 120 ;  (since "ln e = 1")

then divide EACH side of the equation by "4", to isolate "x" on one side of the equation; and to solve for "x" ;
___________________________________
  4x / 4 = (ln 120) / 4 ;
___________________________
 x = (ln 120) / 4 ; 
______________________________
 Using a calculator:
_________________________________________________________
  x = (ln 120) / 4 = (4.78749174278) / 4 =  1.1968729357
Answer:  x =  1.1968729357 ;  or, round to: 1.2 .
____________________________________________ 
8 0
3 years ago
Due to the distribution of the new iPhone, smartphone sales at Cinq's Electronic store has increased by
Lesechka [4]

Answer:

24565 phones sold in 2025

Step-by-step explanation:

dont know the formula. srry

Hope this helps!

7 0
3 years ago
The shares of the U.S. automobile market held in 1990 by General Motors, Japanese manufacturers, Ford, Chrysler, and other manuf
Mariana [72]

Answer:

Step-by-step explanation:

Hello!

The objective is to test if the purchase frequencies of new-car buyers follow the distribution of the shares of the U.S. automobile market for 1990.

You have one variable of interest:

X: Brand a new-car buyer prefers, categorized: GM, Japanese, Ford, Chrysler and Other

n= 1000

Observed frequencies

GM 193

Japanese 384

Ford 170

Chrysler 90

Other 163

a) The test to use to analyze if the observed purchase frequencies follow the market distribution you have to conduct a Goodness to Fit Chi-Square test.

The conditions for this test are:

- Independent observations

In this case, we will assume that each buyer surveyed is independent of the others.

- For 3+ categories: each expected frequency (Ei) must be at least 1 and at most 20% of the Ei are allowed to be less than 5.

In our case we have a total of 5 categories, 20% of 5 is 1, only one expected frequency is allowed to have a value less than 5.

I'll check this by calculating all expected frequencies using the formula: Ei= n*Pi (Pi= theoretical proportion that corresponds to the i-category)

E(GM)= n*P(GM)= 1000*0.36= 360

E(Jap)= n*P(Jap)= 1000*0.26= 260

E(Ford)= n*P(Ford)= 1000*0.21= 210

E(Chrys)= n*P(Chrys)= 1000*0.09= 90

E(Other)= n*P(Other)= 1000*0.08= 80

Note: If all calculations are done correctly then ∑Ei=n.

This is a quick way to check if the calculations are done correctly.

As you can see all conditions for the test are met.

b) The hypotheses for this test are:

H₀: P(GM)= 0.36; P(Jap)= 0.26; P(Ford)= 0.21; P(Chrys)= 0.09; P(Other)= 0.08

H₁: At least one of the expected frequencies is different from the observed ones.

α: 0.05

X^2= sum \frac{(Oi-Ei)^2}{Ei} ~~X^2_{k-1}

k= number of categories of the variable.

This test is one-tailed right this mean you'll reject the null hypothesis to high values of X²

X^2_{k-1;1-\alpha }= X^2_{4;0.95}= 9.488

Decision rule using the critical value approach:

If X^2_{H_0} ≥ 9.488, reject the null hypothesis

If X^2_{H_0} < 9.488, don't reject the null hypothesis

X^2_{H_0}= \frac{(193-360)^2}{360} + \frac{(384-260)^2}{260} + \frac{(170-210)^2}{210} + \frac{(90-90)^2}{90} + \frac{(163-80)^2}{80} = 230.34

The value of the statistic under the null hypothesis is greater than the critical value, so the decision is to reject the null hypothesis.

Using a 5% level of significance, there is significant evidence to conclude that the current market greatly differs from the preference distribution of 1990.

5 0
3 years ago
Identify the correct solution to the problem 3 x 9/10
vitfil [10]
Step by step:

3 x 9/10
Turn 3 into a fraction
3/1 x 9/10
Now multiply straight across
3x9=27 and 1x10=10
So you get
27/10 or 27/10 or 2.7

This can also be completed by simply turning 9/10 into a decimal and doing
3 x 0.9 = 2.7
3 0
1 year ago
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