187 families have health insurance out of a random sample of 292 families. Kaiser states that the proportion of families who have health insurance is 63%. Can it be concluded that the proportion of families who have health insurance is greater than 63% based on a-level of 0.04? c) To find our Critical Value(s) (CV), will we use invNorm(), invT()?invNorm()d) Please explain the reason for the correct answer for step c.This is a hypotheses test for population proportion (p).Round to Two Decimal PlacesCV =-1.75Enter an integer or decimal number [more..]f) What formula will we use for the test value?Oz(ã1 – 52) – (41 – 42)Ot=+nin2(ê1 – P2) – (pi – p2)Oz =p – pO z =V nOt=

Name: 187 families have health insurance out of a random sample of 292 famil
Uploaded: 2024-03-20T07:07:00.000Z
Channel: Bartleby
Description: 187 families have health insurance out of a random sample of 292 families. Kaiser states that the proportion of families who have health insurance is 63%. Can it be concluded that the proportion of families who have health insurance is greater than 6

(c) To find the critical value use invNorm(). (d) From the information, the hypotheses test for…

Math

Statistics

187 families have health insurance out of a random sample of 292 families. Kaiser states that the proportion of families who have health insurance is 63%. Can it be concluded that the proportion of families who have health insurance is greater than 63% based on a-level of 0.04?

187 families have health insurance out of a random sample of 292 families. Kaiser states that the proportion of families who have health insurance is 63%. Can it be concluded that the proportion of families who have health insurance is greater than 63% based on a-level of 0.04?

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter5: Inverse, Exponential, And Logarithmic Functions

Section5.6: Exponential And Logarithmic Equations

Problem 64E

See similar textbooks

Similar questions

Consider the null hypotheses for the following multinomial experiments. (Give your answers correct to two decimal places.) (a) Determine the critical value and critical region that would be used in the classical approach to test Ho: P(1) = P(2) = P(3) = P(4) = 0.25, with a = 0.005.X2 (b) Determine the critical value and critical region that would be used in the classical approach to test Ho: P(1) = 0.25, P(2) = 0.40, P(3) = 0.35, with a = 0.1.X2
2. The critical value of t is 1.383, the value of the test statistic t = -1.383; therefore, we do not reject H0
A researcher wanted to determine if using an octane booster would increase gasoline mileage. A random sample of seven cars was selected; the cars were driven for two weeks without the booster and two weeks with the booster. Use the definitions of X1 and X2 as given in the table. Consequently, D=X1=X2What critical value should be used at a-0.05?
a. Which of the two excel outputs above is the correct result of the data?b. What is the appropriate set of hypotheses for this test?c. From the given results above, which test is appropriate to test the significant difference between the heat-producing capacities of the coal from the mines?d. What is the t- critical value?e. What is the p-value?f. At α=0.05, what is the correct decision?
See the attached image for the introduction. In terms of variables xi and parameters βi, write the null and alternative hypotheses for testing whether, after including Price/Square Feet(x2) in the model already, the further incorporation of the other 2 explanatory variables (x1, x3) adds any useful information for explaining pricey. Also, give the value of the F statistic and its degrees of freedom (df).
A neighborhood of 45 homes found that 75% (SD=2.1) had at least one pet. The city-wide average for neighborhoods is 71%. Find the critical value of t and the value of t we obtain (or observe) presuming a 2-tailed test. Also, calculate the effect size. Lastly, write a statement of the hypotheses with your findings.
-Suppose we fail to reject Ho: μ ≥ 50 When the true mean is μ = 53Given a sample of size n=64 and σ =6 and with α=0.05Calculate the critical sample mean Xα , the ZX̅α , The probability of type II error βand the power of the hypothesis test P.Solution: [Write the rules/formula]Calculate X̅α :Calculate ZX̅α with the true mean μ = 53:The probability of type II error β:The power of the hypothesis test P:
The pulse rates of 174 randomly selected adult males vary from a low of 36 bpm to a high of 96 bpm. Find the minimum sample size required to estimate the mean pulse rate of adult males. Assume that we want 98% confidence that the sample mean is within 2 bpm of the population mean. Complete parts (a) through (c) below. A. Find the sample size using the range rule of thumb to estimate σ. n=____ B. Assume that σ=11.5 bpm, based on the value s=11.5 bpm from the sample of 174 male pulse rates. n=___ C. Compare the results from parts (a) and (b). Which result is likely to be better?
The pulse rates of 176 randomly selected adult males vary from a low of 35 bpm to a high of 111 bpm. Find the minimum sample size required to estimate the mean pulse rate of adult males. Assume that we want 95% confidence that the sample mean is within 3 bpm of the population mean. Complete parts (a) through (c) below. A. Find the sample size using the range rule of thumb to estimate σ. n=___ B. Assume that σ=10.1 bpm, based on the value s=10.1 bpm from the sample of 176 male pulse rates. C. Compare the results from parts (a) and (b). Which result is likely to be better?
Assuming all other factors are held constant ,if the df value for a two tailed t test with x=.05 were increased from df=6 to df=20,what would happen to the critical values for t? the critical values would further from t=0 the crtical values would move closer to t=0 the crtical values would not change this is impossible to determine
For each of the following situations, identify whether the appropriate test is a paired t-test (for parameter µd) or a two-sample t-test (for parameter µ1 - µ2). Briefly explain your answer. Sixty students were matched by initial pulse rate, with the two with the highest pulse forming a pair, and so on. Within each pair, one student was randomly chosen to drink a caffeinated beverage, while the other one drank an equivalent amount of water. Their pulse rates were measured 10 minutes later, to test whether caffeine consumption elevates pulse rates. To determine whether lack of sleep increases appetite, researchers recruited 50 volunteers and randomly assigned 25 of them to sleep at least 8 hours a night and the other 25 to sleep at most 5 hours a night, for 3 days. Calorie intake was recorded for all 50 volunteers for the 3-day period.
You are performing a two-tailed test.If α=.002α=.002, find the positive critical value, to three decimal places.zα/2