MATHEMATICS COLLEGE

Which fractions are equivalent to the fraction below? Check all that apply.
3/4 ??
$Which fractions are equivalent to the fraction below? Check all - 1$

Answers

Answer 1

Answer:

Answer:

hi there !

The answer is "30/40"

because by dividing each nominator and denominator by "10" it gives 3/4

The contestant should not play.

Step-by-step explanation:

As per the given question, their current winning is $1 million.

The probability of the guessing to be true is 50% = $(50)/(100) = (1)/(2)$ .

There is also a possibility of 50% to be wrong, which can reduced the winning amount to $500,000 that is the half of the current amount.

Hence, the contestant should not play.

Helpppp asap pleasee

Answers

Answer:

I think 1 is the right answer

Step-by-step explanation:

Which statement must be true according to the dot plot?The number of text messages that Reza sent each day so
far in this billing cycle is shown on the dot plot.
Text Messages Per Day
O The data is symmetric and shows that he typically sent
about 6 to 8 text messages per day.
o The data is symmetric and shows that he sent 11 or 12
texts with the same frequency that he sent 1 or 2 texts.
O The data is skewed and shows that he typically sent
about 6 to 8 text messages per day.
O The data is skewed and shows that he sent 11 or 12
texts with the same frequency that he sent 1 or 2 texts.
2 3 4 5 6 7 8 9 10 11 12 13

Answers

*see attachment for the dot plot being referred to

Answer:

The data is symmetric and shows that he typically sent about 6 to 8 text messages per day

Step-by-step explanation:

The distribution of the data set on a dot plot can be said to be symmetric when most of the data points in the data are located or are concentrated at the center of the dot plot.

As we can observe from the given dot plot in the attachment, it shows that 6 to 8 text messages per day have more frequencies and are just right at the center of the dot plot. This shows the data is symmetric.

This also shows that Reza dents averagely 6 - 8 text messages per day. Reza can be said to have typically sent 6 - 8 text messages per day.

The rest statements about the dot plot are untrue.

$641.29 is what percent of $986,60?

I need this ASAP

Answers

Answer:

65%

Step-by-step explanation:

You start by dividing 641.29 by 986.60 (641.29/986.60). This gets you .65, which as a percentage is 65%

65% use a website for calculating percentages

An author argued that more basketball players have birthdates in the months immediately following July 31, because that was the age cutoff date for nonschool basketball leagues. Here is a sample of frequency counts of months of birthdates of randomly selected professional basketball players starting with January: 390, 392, 360, 318, 344, 330, 322, 496, 486, 486, 381, 331 . Using a 0.05 significance level, is there sufficient evidence to warrant rejection of the claim that professional basketball players are born in different months with the same frequency? Do the sample values appear to support the author's claim?

Answers

Answer:

There is sufficient evidence to warrant rejection of the claim that professional basketball players are born in different months with the same frequency.

Step-by-step explanation:

In this case we need to test whether there is sufficient evidence to warrant rejection of the claim that professional basketball players are born in different months with the same frequency.

A Chi-square test for goodness of fit will be used in this case.

The hypothesis can be defined as:

H₀: The observed frequencies are same as the expected frequencies.

Hₐ: The observed frequencies are not same as the expected frequencies.

The test statistic is given as follows:

$\chi^(2)=\sum{((O-E)^(2))/(E)}$

The values are computed in the table.

The test statistic value is $\chi^(2)=128.12$ .

The degrees of freedom of the test is:

n - 1 = 12 - 1 = 11

Compute the p-value of the test as follows:

p-value < 0.00001

*Use a Chi-square table.

p-value < 0.00001 < α = 0.05.

So, the null hypothesis will be rejected at any significance level.

Thus, there is sufficient evidence to warrant rejection of the claim that professional basketball players are born in different months with the same frequency.

Find the (f+g)(x) of f(x)=2x+3 g(x)=x2+x2-7.