Assiment thursday

Question 1

What are P-Values

Answer 1

An equation to findout what’s the probability of the theorized question. P can take any value between 0 and 1. The closer equation to 1 is most more probable then an equation to 0

Question 2

What is a T test: Paired Two Sample for Means

Answer 2

Usallally used to mesure somthing in time eg before and after eg wieght before the diet and weght after. Measures two dependent samples and measure wither or not they signifigently differ from each means

Question 3

What is a T test Two-Sample Equal Variances

Answer 3

Used when both variances are the same eg taking a sample size of two population and figureing out if they are the same ( Look at the p value)

Question 4

What is Regression

Answer 4

Regression anaylisis is a satistical method that mesures the relationship between two or more variables of interest. Often it is shown in a graph with a line (the reggression line) to show the patten. or Regression is trying to find out which one affects Y the most

Question 5

What is Correlation

Answer 5

Used to uderstand the relationship between variables

Question 6

What are Descriptive Statistics

Answer 6

a set of methods used to summarize and describe the main features of a dataset

The mean, the mode, the median, the range

Question 7

What is ANOVA Single Factor

Answer 7

Analysis of variance or ANOVA can be used to compare the means between two or more groups of values.

Question 8

Using the P values what percentage is more likley to be probable 0.05 or 0.5

Answer 8

0.5

Question 9

What is the independent variable

Answer 9

X

Question 10

What is the dependent varable

Answer 10

Y

Question 11

If the question was : what contribes to test score with other verables being, attendance, socail media, and learning at home what would be the test score be X or Y

Answer 11

Y becouse it is the dependent varble

Question 12

Using the T statistics and the P t statstics is there signifcigent differences between 0.95 & 0.45

Answer 12

No there is not a significant differences because both percentages don’t go under 0.05. The P value is great then 0.05

Question 13

How do you mesure the corrlation between varables

Answer 13

using a mesuring stytem eg -1 = not strong corrlation 0= medium corrlation 1= strong corrlation

Question 14

In a graph does a posative corrlation go up or down

Answer 14

UP

Question 15

In a graph does negative correlation go up or down

Answer 15

down

Question 16

Can you still have a strong correlation if the correlation is a negative

Answer 16

yes becouse there is still a strong pattern

Question 17

When is the corrlation not strong ?

Answer 17

When the data is spread out and a pattern is not clear eg 0.3 correlation will not show a strong pattern compared to 0.7

Question 18

What does Statistically significant mean

Answer 18

Statistically significant is how you measure how its important or true it is to the variable effect. Eg Pirates and summer days may both see an in incress but they are not statistically significant

Question 19

where do we look in the regression stats to
to find out the
if its Significantly significant

Answer 19

ANOVA

Question 20

where do we look in the regression stats to
to find out the significance for each variable.

Answer 20

Coefficients intercepts

Question 21

where do we look at the graph if we want to out if the model fits ?
(Looking in the reggresion graft)

Answer 21

regression statistics

Question 22

Always use BEDMAS in eqshions, what does bedmas stand for?

Answer 22

Brackets, Exponents, Division/Multiplication, Addition/Subtraction

Question 23

Work out this equation
Sales = 5,95(advertspent) +70000
Every Unit you put into advertising spend you get an increase of 5.95 everytime. How much money would you get if you spent 1000

Answer 23

12950

Im guessing

But i think the caculation should look like this

5.95 x 1000 + 7000
Sales=advertising spend+ c

Question 24

Work out this eqaustion
Sales = 5,95(advertspent) +70000
Every Unit you put into advertising spend you get an increase of 5.95 everytime. You currently have an revanue of 555,000 how much money did you put into advertsing

Answer 24

555,000/5.95=93277.31- 7000 = 86277.31

revaune/advertsing spending-C(7000) = cost of advertsing ??

Confused

Question 25

what does each of these mean
The mean,
the mode,
the median,
the range

Answer 25

Mean is the average of all of the numbers. Median is the middle number, when in order. Mode is the most common number. Range is the largest number minus the smallest number.

Question 26

Uses of Regression ?

Answer 26

forecasting an effect and is used to predict the impact or impact of changes. This is used to understand how much the dependent variable changes with the evolution of the independent variable.eg, how much sales are increased with extra $1000 spent on marketing?