The average daily cell phone usage amount for the past 4 days was (3.4p + 1.5) minutes. Which

How to find the common factors and H.C.F of 20, 35, and 40

Allisa [31]

The factors of 20 are 1, 2, 4, 5, 10, 20

The factors of 30 are 1, 2, 3, 5, 6, 10, 15, 30

The factors of 45 are 1, 3, 5, 9, 15, 45

Hence the common factors are only 1 and 5.

The highest common factors in this case is only 5.

Hope this helps : )

6 0

2 years ago

Read 2 more answers

The function g(x) is graphed on the coordinate grid.

blagie [28]

Answer:

The first one

Step-by-step explanation:

7 0

3 years ago

Read 2 more answers

Ive dont most of it on my own but need help solving the last bit thats left. Its inequality symbols

Gelneren [198K]

True or false?
ok, so just use your head and use this simple memory tool
for remembering inequalities, the aligator eats the bigger number
x>y means x is biger than y
x<y means x is smaller than y or y is bigger than x

remember: the farther to the right a number is, the bigger it is
8<9
and
-10<-3 since -3 is farther to right than -10

so see them
b. 5>7, duh, false
c. 15≥17, are you kidding me, false
d. true
e. nay, no negative number is ever greater than a positive, false
f. true, -2 is farther to the right than -13 is
g. x>4, x is any number bigger than 4, not including 4
h. x is any number bigger than 8, not including 8
i. x is less than or equal to -4, so it can be -5, or even -4

7 0

4 years ago

Scores of an IQ test have a bell-shaped distribution with a mean of and a standard deviation of . Use the empirical rule to det

Oduvanchick [21]

Complete question is;

Scores of an IQ test have a bell-shaped distribution with a mean of 100 and a standard deviation of 13. Use the empirical rule to determine the following.

(a) What percentage of people has an IQ score between 87 and 113?

(b) What percentage of people has an IQ score less than 74 or greater than 126?

(c) What percentage of people has an IQ score greater than 139?

Answer:

A) 68% of the people had an IQ score between 87 and 113

B) 5% of the people had IQ scores less than 74 and greater than 126.

C) 0.15% had an IQ score greater than 139

Step-by-step explanation:

We are given;

Mean; x¯ = 100

Standard deviation; σ = 13

According to the empirical rule in statistics;

>> 68% of the data lies within one standard deviation of the mean

>> 95% of the data lies within two standard deviations of the mean

>> 99.7% of the data lies within three standard deviations

A) We want to find the percentage of people with an IQ score between 87 and 113.

Within one standard deviation, we have;

x¯ ± σ

>> (100 - 13), (100 + 13)

>> (87, 113) which is the range we are looking for.

Thus, 68% of the people had an IQ score between 87 and 113

B) we want to find percentage of people has an IQ score less than 74 or greater than 126.

Let's first find those who had between 74 and 126.

Let's use two standard deviations within the mean.

x¯ ± 2σ

>> (100 - (2×13)), (100 + (2×13))

>> (74, 126) which is the range we are looking for.

So percentage that have IQ scores between 74 and 126 is 95%

Thus;

Percentage of those who had less than 74 and greater than 126 is;

P = 1 - 95%

P = 5%

C) we want to find the percentage of people that had an IQ score greater than 139.

Let's use the z-score formula;

z = (x¯ - μ)/σ

z = (139 - 100)/13

z = 39/13

z = 3

This means it is 3 standard deviations above the mean.

Thus;

Since it's one side outside the mean, then;

Percentage of people with an IQ score greater than 139 = (1 - 99.7%)/2 = 0.3%/2 = 0.15%

5 0

3 years ago

What is the purpose of calculating a confidence interval? Multiple Choice To provide a range of values that has a certain large

Nadusha1986 [10]

Answer:

To provide a range of values that, with a certain measure of confidence, contains the population parameter of interest.

To provide a range of values that has a certain large probability of containing the population parameter of interest.

Step-by-step explanation:

For estimating a parameter value, it is important to know the statement or degree of confidence that the interval contains the parameter value along with knowing the point estimate and the amount of possible error in the point estimate (which is the interval likely to contain the parameter value).Thus , an interval estimate of a population parameter is the confidence interval with a statement of confidence that the interval contains the parameter value. The confidence interval is a range of values around the statistic that are believed to contain, with a certain probability (say 99%) the true value of that statistic or the population value.

8 0

3 years ago