The following data lists the ages of a random selection of actresses when they won an award in the category of best actress, along with the ages of actors when they won in the category of best actor. the ages are matched according to the year that the awards were presented. complete parts (a) and (b) below. actress (years )31 31 32 26 32 28 29 43 29 32 actor (years )62 34 32 41 26 33 47 42 40 39 a. use the sample data with a 0.05 significance level to test the claim that for the population of ages of best actresses and best actors, the differences have a mean less than 0 (indicating that the best actresses are generally younger than best actors). in this example, mu subscript d is the mean value of the differences d for the population of all pairs of data, where each individual difference d is defined as the actress's age minus the actor's age. what are the null and alternative hypotheses for the hypothesis test?

Null Hypothesis years

Alternative hypothesis years

Step-by-step explanation:

Hypothesis is a tentative guess. In a null hypothesis, we state that there's no statistical significance between the variables. For alternative hypothesis, it's stated that there's significant statistical relation between the provided variables. In this case, the null Hypothesis is years and the alternative hypothesis is years

We can decide to accept or reject either null hypothesis or alternative hypothesis

function 2 has a greater rate of change than function 1

function 2 has a greater y-intercept than function 1

step-by-step explanation:

answer: city needs 2.4 inches of rainfall more to match the record of 40 inches.

step-by-step explanation:

since we have given that

total annual rainfall a city record = 40 inches

this year, total rainfall recorded = 37.6 inches

number of inches of rainfall   is needed to match the record of 40 inches is given by

hence, city needs 2.4 inches of rainfall more to match the record of 40 inches.